Alternatives to Aim
Compare Aim alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Aim in 2026. Compare features, ratings, user reviews, pricing, and more from Aim competitors and alternatives in order to make an informed decision for your business.
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DataHub
DataHub
DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors. Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support. -
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Gearset
Gearset
Gearset is the complete, enterprise-ready Salesforce DevOps platform, enabling teams to implement best practices across the entire DevOps lifecycle. With powerful solutions for metadata and CPQ deployments, CI/CD, testing, code scanning, sandbox seeding, backups, archiving, observability, and Org Intelligence — including the Gearset Agent — Gearset gives teams complete visibility, control, and confidence in every release. More than 3,000 enterprises, including McKesson, IBM and Zurich, trust Gearset to deliver securely at scale. Combining advanced governance, built‑in audit trails, SOX/ISO/HIPAA support, parallel pipelines, integrated security scans, and compliance with ISO 27001, SOC 2, GDPR, CCPA/CPRA, and HIPAA, Gearset provides enterprise‑grade controls, rapid onboarding, and a user‑friendly interface — all in one platform. Gearset delivers enterprise‑grade power without the overhead, which is why leading global organizations in finance, healthcare, and technology choose us, -
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AnalyticsCreator
AnalyticsCreator
AnalyticsCreator is a metadata-driven data warehouse automation solution built specifically for teams working within the Microsoft data ecosystem. It helps organizations speed up the delivery of production-ready data products by automating the entire data engineering lifecycle—from ELT pipeline generation and dimensional modeling to historization and semantic model creation for platforms like Microsoft SQL Server, Azure Synapse Analytics, and Microsoft Fabric. By eliminating repetitive manual coding and reducing the need for multiple disconnected tools, AnalyticsCreator helps data teams reduce tool sprawl and enforce consistent modeling standards across projects. The solution includes built-in support for automated documentation, lineage tracking, schema evolution, and CI/CD integration with Azure DevOps and GitHub. Whether you’re working on data marts, data products, or full-scale enterprise data warehouses, AnalyticsCreator allows you to build faster, govern better, and deliver -
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Centralpoint
Oxcyon
Centralpoint is a Digital Experience Platform, and in Gartner's Magic Quadrant. It is used by over 350 clients worldwide going beyond Enterprise Content Management, securely authenticating (AD/SAML,OpenID, oAuth) all users for self service interaction. Centralpoint automatically aggregates your information from disparate sources, applying rich metadata against your rules, yielding true Knowledge Management; allowing you to search and relate disparate sets of data from anywhere. Centralpoint offers the most robust Module Gallery, out of the box, and can be installed on premise or in the Cloud. Be sure to see our solutions for Automating Metadata, Automating retention Policy Management, and simplifying the mash up of disparate data for the benefit of AI (Artificial Intelligence). Centralpoint is often used as an intelligent altternative to Sharepoint, allowing easy Migration tools. It can also be used for any secure portal solution for your public sites, Intranets, Members or Extranets. -
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Alation
Alation
The Alation Agentic Data Intelligence Platform enables organizations to scale and accelerate their AI and data initiatives. By unifying search, cataloging, governance, lineage, and analytics, it transforms metadata into a strategic asset for decision-making. The platform’s AI-powered agents—including Documentation, Data Quality, and Data Products Builder—automate complex data management tasks. With active metadata, workflow automation, and more than 120 pre-built connectors, Alation integrates seamlessly into modern enterprise environments. It helps organizations build trusted AI models by ensuring data quality, transparency, and compliance across the business. Trusted by 40% of the Fortune 100, Alation empowers teams to make faster, more confident decisions with trusted data. -
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TensorBoard
Tensorflow
TensorBoard is TensorFlow's comprehensive visualization toolkit designed to facilitate machine learning experimentation. It enables users to track and visualize metrics such as loss and accuracy, visualize the model graph (operations and layers), view histograms of weights, biases, or other tensors as they change over time, project embeddings to a lower-dimensional space, and display images, text, and audio data. Additionally, TensorBoard offers profiling capabilities to optimize TensorFlow programs. These features collectively provide a suite of tools to understand, debug, and optimize TensorFlow programs, enhancing the machine learning workflow. In machine learning, to improve something you often need to be able to measure it. TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. It enables tracking experiment metrics, visualizing the model graph, and projecting embeddings to a lower dimensional space.Starting Price: Free -
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Visdom
Meta
Visdom is a visualization tool that generates rich visualizations of live data to help researchers and developers stay on top of their scientific experiments that are run on remote servers. Visualizations in Visdom can be viewed in browsers and easily shared with others. Visdom provides an interactive visualization tool that supports scientific experimentation. Visualizations of plots, images, and text can be easily broadcast for yourself and collaborators. The visualization space can be organized through the Visdom UI or programmatically, allowing researchers and developers to inspect experiment results across multiple projects and debug code. Features like windows, environments, states, filters, and views also provide multiple ways to view and organize important experimental data. Build and customize visualizations for your projects. -
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HoneyHive
HoneyHive
AI engineering doesn't have to be a black box. Get full visibility with tools for tracing, evaluation, prompt management, and more. HoneyHive is an AI observability and evaluation platform designed to assist teams in building reliable generative AI applications. It offers tools for evaluating, testing, and monitoring AI models, enabling engineers, product managers, and domain experts to collaborate effectively. Measure quality over large test suites to identify improvements and regressions with each iteration. Track usage, feedback, and quality at scale, facilitating the identification of issues and driving continuous improvements. HoneyHive supports integration with various model providers and frameworks, offering flexibility and scalability to meet diverse organizational needs. It is suitable for teams aiming to ensure the quality and performance of their AI agents, providing a unified platform for evaluation, monitoring, and prompt management. -
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neptune.ai
neptune.ai
Neptune.ai is a machine learning operations (MLOps) platform designed to streamline the tracking, organizing, and sharing of experiments and model-building processes. It provides a comprehensive environment for data scientists and machine learning engineers to log, visualize, and compare model training runs, datasets, hyperparameters, and metrics in real-time. Neptune.ai integrates easily with popular machine learning libraries, enabling teams to efficiently manage both research and production workflows. With features that support collaboration, versioning, and experiment reproducibility, Neptune.ai enhances productivity and helps ensure that machine learning projects are transparent and well-documented across their lifecycle.Starting Price: $49 per month -
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BigHand Metadata Management
BigHand
BigHand Metadata Management is a legal document cleaning tool that allows law firms to cleanse Word, Excel, PowerPoint, PDF, and media files at any stage of the process. Users can automate metadata removal, configure varying levels of metadata management, and protect staff from unwitting confidentiality breaches and the business impacts they can cause. Allow your teams to view all metadata in one panel, setting global settings and distributing to all users. Get alerts to clean documents when sending them outside of your organization. A panel will appear to prompt users to select the level of metadata removal required. Create specific settings for all staff, by department or even by individual if there are varying requirements. Integrate with popular email programs and document management systems. -
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Comet LLM
Comet LLM
CometLLM is a tool to log and visualize your LLM prompts and chains. Use CometLLM to identify effective prompt strategies, streamline your troubleshooting, and ensure reproducible workflows. Log your prompts and responses, including prompt template, variables, timestamps and duration, and any metadata that you need. Visualize your prompts and responses in the UI. Log your chain execution down to the level of granularity that you need. Visualize your chain execution in the UI. Automatically tracks your prompts when using the OpenAI chat models. Track and analyze user feedback. Diff your prompts and chain execution in the UI. Comet LLM Projects have been designed to support you in performing smart analysis of your logged prompt engineering workflows. Each column header corresponds to a metadata attribute logged in the LLM project, so the exact list of the displayed default headers can vary across projects.Starting Price: Free -
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OpenMetadata
OpenMetadata
OpenMetadata is an open, unified metadata platform that centralizes all metadata for data discovery, observability, and governance in a single interface. It leverages a Unified Metadata Graph and 80+ turnkey connectors to collect metadata from databases, pipelines, BI tools, ML systems, and more, providing a complete data context that enables teams to search, facet, and preview assets across their entire estate. Its API‑ and schema‑first architecture offers extensible metadata entities and relationships, giving organizations precise control and customization over their metadata model. Built with only four core system components, the platform is designed for simple setup, operation, and scalable performance, allowing both technical and non‑technical users to collaborate on discovery, lineage, quality, observability, collaboration, and governance workflows without complex infrastructure. -
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Collate
Collate
Collate is an AI‑driven metadata platform that empowers data teams with automated discovery, observability, quality, and governance through agent‑based workflows. Built on the open source OpenMetadata foundation and a unified metadata graph, it offers 90+ turnkey connectors to ingest metadata from databases, data warehouses, BI tools, and pipelines, delivering in‑depth column‑level lineage, data profiling, and no‑code quality tests. Its AI agents automate data discovery, permission‑aware querying, alerting, and incident‑management workflows at scale, while real‑time dashboards, interactive analyses, and a collaborative business glossary enable both technical and non‑technical users to steward high‑quality data assets. Continuous monitoring and governance automations enforce compliance with standards such as GDPR and CCPA, reducing mean time to resolution for data issues and lowering total cost of ownership.Starting Price: Free -
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DagsHub
DagsHub
DagsHub is a collaborative platform designed for data scientists and machine learning engineers to manage and streamline their projects. It integrates code, data, experiments, and models into a unified environment, facilitating efficient project management and team collaboration. Key features include dataset management, experiment tracking, model registry, and data and model lineage, all accessible through a user-friendly interface. DagsHub supports seamless integration with popular MLOps tools, allowing users to leverage their existing workflows. By providing a centralized hub for all project components, DagsHub enhances transparency, reproducibility, and efficiency in machine learning development. DagsHub is a platform for AI and ML developers that lets you manage and collaborate on your data, models, and experiments, alongside your code. DagsHub was particularly designed for unstructured data for example text, images, audio, medical imaging, and binary files.Starting Price: $9 per month -
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Oracle Enterprise Metadata Management (OEMM) is a comprehensive metadata management platform. OEMM can harvest and catalog metadata from virtually any metadata provider, including relational, Hadoop, ETL, BI, data modeling, and many more. OEMM however is not just a metadata repository, OEMM allows for interactive searching and browsing of the metadata as well as providing data lineage, impact analysis, semantic definition and semantic usage analysis for any metadata asset within the catalog. OEMM's advanced algorithms stitch together metadata from each of the providers providing the complete path of data from source to report or vice versa. OEMM supports virtually any metadata provider including: Data modeling tools, databases, CASE tools, Hadoop, ETL engines, Warehouses, BI, EAI environments, as well as many more.
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Dockit Metadata Manager
Vyapin Software Systems
Dockit Metadata Manager for SharePoint allows you to take control of all aspects of metadata management in your SharePoint. As everyone knows, SharePoint content without proper metadata renders SharePoint to be just a storage repository resulting in very poor user adoption and gross under-utilization of the powerful capabilities of SharePoint. Irrespective of whether you have a well-settled, ongoing production SharePoint environment or you have just begun to streamline your SharePoint metadata before or after your SharePoint migration, you need to have complete control on how your SharePoint metadata is organized and how it needs to be monitored and managed. Discover your SharePoint metadata across various elements such as sites, lists, libraries, and so on. Discover the metadata present in your file shares and folders before your SharePoint migration. You first need to know what is out there in order to further take action on your metadata. -
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Kylo
Teradata
Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI. -
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Dataedo
Dataedo
Discover, document and manage your metadata. Dataedo is equipped with multiple automated metadata scanners that connect to various database technologies, extract data structures and metadata, and load them into the metadata repository. With a few clicks, build a catalog of your data and describe each element. Decrypt table and column names with business-friendly aliases, provide meaning and purpose of data assets with descriptions and user-defined custom fields. Use sample data to learn what data is stored in your data assets. Understand the data better before using it and make sure that the data is good quality. Ensure high data quality with data profiling. Democratize access to knowledge about data. Build data literacy, democratize data and empower everyone in your organization to make better use of your data with a lightweight on-premises data catalog. Boost data literacy through a data catalog.Starting Price: $49 per month -
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Parea
Parea
The prompt engineering platform to experiment with different prompt versions, evaluate and compare prompts across a suite of tests, optimize prompts with one-click, share, and more. Optimize your AI development workflow. Key features to help you get and identify the best prompts for your production use cases. Side-by-side comparison of prompts across test cases with evaluation. CSV import test cases, and define custom evaluation metrics. Improve LLM results with automatic prompt and template optimization. View and manage all prompt versions and create OpenAI functions. Access all of your prompts programmatically, including observability and analytics. Determine the costs, latency, and efficacy of each prompt. Start enhancing your prompt engineering workflow with Parea today. Parea makes it easy for developers to improve the performance of their LLM apps through rigorous testing and version control. -
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DataTools
DataTools Pro
DataTools for Salesforce is metrics and meta-data management designed to bring your Salesforce and data cloud professionals together. DataTools for Salesforce supports your Salesforce organization’s core metadata and metrics today while providing context data to help you implement your modern customer data cloud. We’ve crafted our Salesforce dictionary utility specifically for the purpose of robust reporting and insightful analysis. With it, you can pinpoint and categorize crucial fields, while emphasizing essential metrics to maximize the utility of your meta-data. Explore connections between Salesforce objects through easily discernible color schemes. Engage with and structure your Salesforce entity relationship diagram effortlessly. Simply choose the relevant objects within your dictionary and create your Salesforce ERD with just one click. Our Salesforce data migration tool is designed for efficient process and project management. -
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Apache Atlas
Apache Software Foundation
Atlas is a scalable and extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within Hadoop and allows integration with the whole enterprise data ecosystem. Apache Atlas provides open metadata management and governance capabilities for organizations to build a catalog of their data assets, classify and govern these assets and provide collaboration capabilities around these data assets for data scientists, analysts and the data governance team. Pre-defined types for various Hadoop and non-Hadoop metadata. Ability to define new types for the metadata to be managed. Types can have primitive attributes, complex attributes, object references; can inherit from other types. Instances of types, called entities, capture metadata object details and their relationships. REST APIs to work with types and instances allow easier integration. -
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Build a blueprint of your current enterprise architecture and visualize the impact of change before it happens with SAP PowerDesigner software. With capabilities such as data modeling, link and sync, and metadata management, you can immediately capture architecture layers and requirements, tap into a powerful metadata repository, and share discoveries with your team. Create tight connections between your company’s unique requirements, language, and data models by using link-and-sync technology. Help developers and enterprise architects exchange information through a secure metadata repository that supports all modeling types. Simplify the lives of your users and IT staff with a flexible, wizard-driven system for documentation and Web-based reporting.
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Agenta
Agenta
Agenta is an open-source LLMOps platform designed to help teams build reliable AI applications with integrated prompt management, evaluation workflows, and system observability. It centralizes all prompts, experiments, traces, and evaluations into one structured hub, eliminating scattered workflows across Slack, spreadsheets, and emails. With Agenta, teams can iterate on prompts collaboratively, compare models side-by-side, and maintain full version history for every change. Its evaluation tools replace guesswork with automated testing, LLM-as-a-judge, human annotation, and intermediate-step analysis. Observability features allow developers to trace failures, annotate logs, convert traces into tests, and monitor performance regressions in real time. Agenta helps AI teams transition from siloed experimentation to a unified, efficient LLMOps workflow for shipping more reliable agents and AI products.Starting Price: Free -
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Octopai
Octopai
Harness the power of data lineage, discovery and a data catalog to achieve full control of your data. that can instantly navigate through the most complex data landscapes. Gain access to the most comprehensive automated data lineage, discovery and data catalog. Providing unprecedented visibility and trust into the most complex data environments. Octopai extracts metadata from your entire data environment. With a quick, secure and simple process, Octopai will instantly be able to analyze the metadata. In one centralized platform Octopai allows you to access data lineage, data discovery and a data catalog, automatically. Trace any data end-to-end through your entire data landscape, in seconds. Automatically find the data you need anywhere in your data landscape. Create company-wide consistency with a self-creating, self-updating data catalog. -
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EPMware
EPMware
Master Data Management And Data Governance. Plug and play adapters for oracle hyperion, onestream, anaplan, and more. The Leader in Performance Management Master Data On-Premise or Cloud Designed to include the Business User in MDM and Data Governance With built-in application intelligence, managing hierarchies and data governance in EPMware becomes a seamless process, creating dimensional consistency across all subscribing applications. With our one-click integration process, hierarchies are visualized and modeled in a request with real time data governance for error proof and audited metadata updates. Using EPMware’s workflow capabilities, metadata can be reviewed, approved and deployed to on-premise and cloud applications. No files to extract or load, no manual intervention, just a seamless and audited metadata integration, out of the box. Integration and Validation Focus EPMware includes native and pre-built integration support for the most widely used EPM and CPM technologies -
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Activate business-ready data for AI and analytics with intelligent cataloging, backed by active metadata and policy management. IBM Watson® Knowledge Catalog is a data catalog tool that powers intelligent, self-service discovery of data, models and more. The cloud-based enterprise metadata repository activates information for AI, machine learning (ML) and deep learning. Access, curate, categorize and share data, knowledge assets and their relationships, wherever they reside. Organize, define and manage enterprise data to provide the right context and drive value across needs like regulatory compliance and data monetization. Protect data, manage compliance and audit-readiness, and maintain client trust with active policy management and dynamic masking of sensitive data. Consume and transform data at the speed of business with intuitive dashboards and flows that can be shared with peers or analytics tools.Starting Price: $300 per instance
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Talend Data Catalog
Qlik
Talend Data Catalog gives your organization a single, secure point of control for your data. With robust tools for search and discovery, and connectors to extract metadata from virtually any data source, Data Catalog makes it easy to protect your data, govern your analytics, manage data pipelines, and accelerate your ETL processes. Data Catalog automatically crawls, profiles, organizes, links, and enriches all your metadata. Up to 80% of the information associated with the data is documented automatically and kept up-to-date through smart relationships and machine learning, continually delivering the most current data to the user. Make data governance a team sport with a secure single point of control where you can collaborate to improve data accessibility, accuracy, and business relevance. Support data privacy and regulatory compliance with intelligent data lineage tracing and compliance tracking. -
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Progress Semaphore
Progress Software
Semaphore is an enterprise metadata management and semantic AI platform designed to transform complex information into meaningful, actionable intelligence. It creates rich, contextual metadata that adds meaning to structured and unstructured data across the organization. The platform helps businesses understand, trust, analyze, and leverage their data more effectively. Semaphore applies a semantic layer that reduces information silos, language ambiguity, and vocabulary gaps. It supports advanced analytics, automation, and AI initiatives by providing high-quality contextual data. Knowledge modeling and classification tools enable consistent understanding across systems and teams. Semaphore helps organizations unlock the full business value of their enterprise knowledge. -
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Informatica Enterprise Data Catalog
Informatica
Scan and index metadata, discover and profile data, and provide detailed lineage across tens of millions of data sets. Classify and organize data assets across any environment to maximize data value and reuse. Automatically scan across multi-cloud platforms, BI tools, ETL, and third-party metadata catalogs; and data types. Leverage AI-powered domain discovery, data similarity, business term associations, and recommendations. Track data movement, from high-level system views to granular column-level lineage, and get detailed impact analysis. Use the Data Asset Analytics dashboard to understand asset usage, enrichment, and collaboration. View data quality rules, scorecards, metric groups, and profiling stats in context. Tap into shared data knowledge with certifications, ratings and reviews, a Q&A platform, and change notifications. Our broad and deep lineup of enterprise-grade data management solutions sets Informatica apart from the crowd. -
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Acryl Data
Acryl Data
No more data catalog ghost towns. Acryl Cloud drives fast time-to-value via Shift Left practices for data producers and an intuitive UI for data consumers. Continuously detect data quality incidents in real-time, automate anomaly detection to prevent breakages, and drive fast resolution when they do occur. Acryl Cloud supports both push-based and pull-based metadata ingestion for easy maintenance, ensuring information is trustworthy, up-to-date, and definitive. Data should be operational. Go beyond simple visibility and use automated Metadata Tests to continuously expose data insights and surface new areas for improvement. Reduce confusion and accelerate resolution with clear asset ownership, automatic detection, streamlined alerts, and time-based lineage for tracing root causes. -
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Oracle MDM
Oracle
To fully understand master data management (MDM), we must first define and explain master data and differentiate between it and master data management. Master data is the critical business information that supports and classifies the transactional and analytical data of an enterprise. It may also be referred to as “enterprise data” or “metadata,” and often includes application-specific metadata, alternative business perspectives, corporate dimensions, reference data, and master data assets. Examples of enterprise data include chart of accounts, organization or cost-center structures, market segments, product categories, and more. Master data management (MDM) does exactly what the name implies—manages master data. MDM is the combination of applications and technologies that consolidates, cleanses, and augments this master data and synchronizes it with applications, business processes, and analytical tools. -
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SAP Information Steward software supports data profiling and monitoring and information policy management. As the information governance layer of SAP Business Technology Platform, it can help you anticipate risk and drive better business outcomes. Combine data profiling, data lineage, and metadata management to gain continuous insight into the integrity of your enterprise data model. Gain a better understanding of data quality across your data management landscape,while accessing and analyzing metrics with intuitive dashboards and scorecards. Improve enterprise information management initiatives by supporting analysts, data stewards, and IT experts with consistent validation rules and guidelines. Discover, assess, define, monitor, and improve the quality of your enterprise data assets with data profiling and metadata management – all with one solution. Forecast the potential savings of improved data quality by running what-if analyses.
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erwin Data Intelligence
Quest Software
erwin Data Intelligence (erwin DI) combines data catalog and data literacy capabilities for greater awareness of and access to available data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed. Automatically harvest, transform and feed metadata from a wide array of data sources, operational processes, business applications and data models into a central catalog. Then make it accessible and understandable via role-based, contextual views so stakeholders can make strategic decisions based on accurate insights. erwin DI supports enterprise data governance, digital transformation and any effort that relies on data for favorable outcomes. Schedule ongoing scans of metadata from the widest array of data sources. Easily map data elements from source to target, including data in motion, and harmonize data integration across platforms. Enable data consumers to define and discover data relevant to their roles.Starting Price: $299 per month -
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Braintrust
Braintrust Data
Braintrust is the enterprise-grade stack for building AI products. From evaluations, to prompt playground, to data management, we take uncertainty and tedium out of incorporating AI into your business. Compare multiple prompts, benchmarks, and respective input/output pairs between runs. Tinker ephemerally, or turn your draft into an experiment to evaluate over a large dataset. Leverage Braintrust in your continuous integration workflow so you can track progress on your main branch, and automatically compare new experiments to what’s live before you ship. Easily capture rated examples from staging & production, evaluate them, and incorporate them into “golden” datasets. Datasets reside in your cloud and are automatically versioned, so you can evolve them without the risk of breaking evaluations that depend on them. -
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Weights & Biases
Weights & Biases
Experiment tracking, hyperparameter optimization, model and dataset versioning with Weights & Biases (WandB). Track, compare, and visualize ML experiments with 5 lines of code. Add a few lines to your script, and each time you train a new version of your model, you'll see a new experiment stream live to your dashboard. Optimize models with our massively scalable hyperparameter search tool. Sweeps are lightweight, fast to set up, and plug in to your existing infrastructure for running models. Save every detail of your end-to-end machine learning pipeline — data preparation, data versioning, training, and evaluation. It's never been easier to share project updates. Quickly and easily implement experiment logging by adding just a few lines to your script and start logging results. Our lightweight integration works with any Python script. W&B Weave is here to help developers build and iterate on their AI applications with confidence. -
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Cloudera
Cloudera
Manage and secure the data lifecycle from the Edge to AI in any cloud or data center. Operates across all major public clouds and the private cloud with a public cloud experience everywhere. Integrates data management and analytic experiences across the data lifecycle for data anywhere. Delivers security, compliance, migration, and metadata management across all environments. Open source, open integrations, extensible, & open to multiple data stores and compute architectures. Deliver easier, faster, and safer self-service analytics experiences. Provide self-service access to integrated, multi-function analytics on centrally managed and secured business data while deploying a consistent experience anywhere—on premises or in hybrid and multi-cloud. Enjoy consistent data security, governance, lineage, and control, while deploying the powerful, easy-to-use cloud analytics experiences business users require and eliminating their need for shadow IT solutions. -
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Bulk Object Field Creator
AYAN Softwares
Bulk Object Field Creator (BOFC) is a native force.com app designed for developers and admins to perform Bulk CRUD operations in a few clicks. It works on bulk metadata operations unlike the standard salesforce. This app is a shorter route to perform mass object /field creation, deletion, updating, and cloning. Reduce manual effort of users & will increase productivity.Starting Price: $199/year/2 organizations -
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Comet
Comet
Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Achieve your goals faster with the platform built to meet the intense demands of enterprise teams deploying ML at scale. Supports your deployment strategy whether it’s private cloud, on-premise servers, or hybrid. Add two lines of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for any machine learning task. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. Monitor your models during every step from training to production. Get alerts when something is amiss, and debug your models to address the issue. Increase productivity, collaboration, and visibility across all teams and stakeholders.Starting Price: $179 per user per month -
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SOLIXCloud CDP
Solix Technologies
SOLIXCloud CDP delivers cloud data management as-a-service for modern data-driven enterprises. Built on opensource, cloud native technologies SOLIXCloud CDP helps companies manage and process all of their structured, semi-structured and unstructured data for advanced anaytics, compliance, infrastructure optimization and data security. With features such as Solix Connect for data ingestion, Solix Data Governance, Solix Metadata Management and Solix Search, SOLIXCloud CDP offers a comprehensive cloud data management application framework to build and run data-driven applications such as SQL data warehouse, machine learning and artifitial intelligience while fulfilling the ever growing data management requirements of complex data regulations, data retention and consumer data privacy. -
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CompareData
Zidsoft
Compare and synchronize sql data visually. CompareData allows you to visually compare and synchronize data between sql databases. Compare table, view or query data and see differences highlighted on the screen. Compare table metadata, generate sql sync script, use the command line and internal scheduling to automate comparison and data synchronization. • Compare data of table, query or group of tables. • Synchronize table data at row, table or group level. • Compare table metadata including columns, primary key, indices, foreign keys, triggers, permission and check constraints. • Compare stored procedures, functions and sequences, • Cross-dbms support with ODBC. • Compare resultsets of any size. • Native 64-bit application. • Multi-threaded, multi-core support. • Free for comparing data and metadata.Starting Price: $495 single user license -
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IBM InfoSphere® Information Governance Catalog is a web-based tool that allows you to explore, understand and analyze information. You can create, manage and share a common business language, document and enact policies and rules, and track data lineage. Combine with IBM Watson® Knowledge Catalog to leverage existing curated data sets and extend your on-premises Information Governance Catalog investment to the cloud. A knowledge catalog allows you to put collected metadata into the hands of knowledge workers so data science and analytics communities can get easy access to the best assets for their purpose while still adhering to enterprise governance requirements. Provides a common business language and vocabulary to enable a deeper understanding of all your data assets, structured, semi-structured and unstructured. Documents governance policies and enacts rules to help you define how information should be structured, stored, transformed and moved.
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Data360 Govern
Precisely
Your organization knows the value of data and the need to get it into the hands of business users for maximum impact, but without enterprise data governance, that data might be hard to find, understand, and trust. Data360 Govern is an enterprise data governance, catalog, and metadata management solution that gives you confidence in the quality, value, and trustworthiness of your data. It automates governance and stewardship tasks to help you answer essential questions about your data’s source, use, meaning, ownership, and quality. With Data360 Govern, you can make faster decisions on data usage and management, build collaboration across your entire organization, and allow users to get the answers they need – when they need them. Transparency into your organization’s data landscape gives you the power to track the critical data aligned with your most important business outcomes. -
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ER/Studio Enterprise Team Edition
IDERA, an Idera, Inc. company
ER/Studio Enterprise Team Edition helps data modelers and architects to design and share data models and metadata across the enterprise. Unlike its competition, it provides a complete solution for enterprise architecture and data governance, extensive model change management, unique incorporation of true enterprise data dictionaries, unique linking of constructs across models, integrated visual data lineage import, and integrated data and business process modeling. -
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PromptHub
PromptHub
Test, collaborate, version, and deploy prompts, from a single place, with PromptHub. Put an end to continuous copy and pasting and utilize variables to simplify prompt creation. Say goodbye to spreadsheets, and easily compare outputs side-by-side when tweaking prompts. Bring your datasets and test prompts at scale with batch testing. Make sure your prompts are consistent by testing with different models, variables, and parameters. Stream two conversations and test different models, system messages, or chat templates. Commit prompts, create branches, and collaborate seamlessly. We detect prompt changes, so you can focus on outputs. Review changes as a team, approve new versions, and keep everyone on the same page. Easily monitor requests, costs, and latencies. PromptHub makes it easy to test, version, and collaborate on prompts with your team. Our GitHub-style versioning and collaboration makes it easy to iterate your prompts with your team, and store them in one place. -
45
Guild AI
Guild AI
Guild AI is an open-source experiment tracking toolkit designed to bring systematic control to machine learning workflows, enabling users to build better models faster. It automatically captures every detail of training runs as unique experiments, facilitating comprehensive tracking and analysis. Users can compare and analyze runs to deepen their understanding and incrementally improve models. Guild AI simplifies hyperparameter tuning by applying state-of-the-art algorithms through straightforward commands, eliminating the need for complex trial setups. It also supports the automation of pipelines, accelerating model development, reducing errors, and providing measurable results. The toolkit is platform-agnostic, running on all major operating systems and integrating seamlessly with existing software engineering tools. Guild AI supports various remote storage types, including Amazon S3, Google Cloud Storage, Azure Blob Storage, and SSH servers.Starting Price: Free -
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Maxim
Maxim
Maxim is an agent simulation, evaluation, and observability platform that empowers modern AI teams to deploy agents with quality, reliability, and speed. Maxim's end-to-end evaluation and data management stack covers every stage of the AI lifecycle, from prompt engineering to pre & post release testing and observability, data-set creation & management, and fine-tuning. Use Maxim to simulate and test your multi-turn workflows on a wide variety of scenarios and across different user personas before taking your application to production. Features: Agent Simulation Agent Evaluation Prompt Playground Logging/Tracing Workflows Custom Evaluators- AI, Programmatic and Statistical Dataset Curation Human-in-the-loop Use Case: Simulate and test AI agents Evals for agentic workflows: pre and post-release Tracing and debugging multi-agent workflows Real-time alerts on performance and quality Creating robust datasets for evals and fine-tuning Human-in-the-loop workflowsStarting Price: $29/seat/month -
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Literal AI
Literal AI
Literal AI is a collaborative platform designed to assist engineering and product teams in developing production-grade Large Language Model (LLM) applications. It offers a suite of tools for observability, evaluation, and analytics, enabling efficient tracking, optimization, and integration of prompt versions. Key features include multimodal logging, encompassing vision, audio, and video, prompt management with versioning and AB testing capabilities, and a prompt playground for testing multiple LLM providers and configurations. Literal AI integrates seamlessly with various LLM providers and AI frameworks, such as OpenAI, LangChain, and LlamaIndex, and provides SDKs in Python and TypeScript for easy instrumentation of code. The platform also supports the creation of experiments against datasets, facilitating continuous improvement and preventing regressions in LLM applications. -
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Latitude
Latitude
Latitude is an open-source prompt engineering platform designed to help product teams build, evaluate, and deploy AI models efficiently. It allows users to import and manage prompts at scale, refine them with real or synthetic data, and track the performance of AI models using LLM-as-judge or human-in-the-loop evaluations. With powerful tools for dataset management and automatic logging, Latitude simplifies the process of fine-tuning models and improving AI performance, making it an essential platform for businesses focused on deploying high-quality AI applications.Starting Price: $0 -
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Adaptive Metadata Manager
Adaptive
The Adaptive Metadata Manager™ product (V10.0) comprises a number of highly configurable software components that provide an organization with the eight core capabilities required to govern and improve virtually any data-driven business capability. These capabilities are: Data Lineage, Data Quality, Impact Analysis, Business Terminology, Business to Technical Traceability, Version Management, Change Approval Workflow, Stewardship, and Automated Harvesting & Stitching. Built on a modern web application stack, application modules are accessed via a web browser. End-user capabilities, like business glossary lookups, are also easily integrated into desktop productivity applications (like Microsoft Office and Outlook email client) for ‘in-document’ searching. -
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Narrow AI
Narrow AI
Introducing Narrow AI: Take the Engineer out of Prompt Engineering Narrow AI autonomously writes, monitors, and optimizes prompts for any model - so you can ship AI features 10x faster at a fraction of the cost. Maximize quality while minimizing costs - Reduce AI spend by 95% with cheaper models - Improve accuracy through Automated Prompt Optimization - Achieve faster responses with lower latency models Test new models in minutes, not weeks - Easily compare prompt performance across LLMs - Get cost and latency benchmarks for each model - Deploy on the optimal model for your use case Ship LLM features 10x faster - Automatically generate expert-level prompts - Adapt prompts to new models as they are released - Optimize prompts for quality, cost and speedStarting Price: $500/month/team
