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XML Databases
XML databases are a type of database that stores, manages, and retrieves data in the XML (Extensible Markup Language) format. These databases are designed to handle semi-structured data, where data is stored in a tree-like structure using tags, making it more flexible than traditional relational databases. XML databases support querying and manipulating XML data using specialized languages such as XPath, XQuery, and XML Schema. They are commonly used in applications that require complex data structures, such as content management systems, document storage, and web services. XML databases allow for efficient handling of large and dynamic datasets while maintaining the hierarchical relationships between elements, making them suitable for applications that need to store and retrieve structured or semi-structured data efficiently.
Database Software
Database software and database management systems are a type of software designed to store, manage and retrieve data. It is used to organize all kinds of information in an efficient manner, allowing users to quickly access the data they need. Many databases are tailored for specific purposes and applications, ranging from transaction processing systems to large-scale analytics platforms. Database software may be used on its own or connected with other software services for complex operations.
Key-Value Databases
Key-value databases are a type of NoSQL database that store data as pairs, where each unique key is associated with a value. This structure is simple and highly flexible, making key-value databases ideal for scenarios requiring fast access to data, such as caching, session management, and real-time applications. In these databases, the key acts as a unique identifier for retrieving or storing the value, which can be any type of data—strings, numbers, objects, or even binary data. Key-value stores are known for their scalability, performance, and ability to handle high volumes of read and write operations with low latency. These databases are particularly useful for applications that require quick lookups or high availability, such as online retail platforms, social networks, and recommendation systems.
Graph Databases
Graph databases are specialized databases designed to store, manage, and query data that is represented as graphs. Unlike traditional relational databases that use tables to store data, graph databases use nodes, edges, and properties to represent and store data. Nodes represent entities (such as people, products, or locations), edges represent relationships between entities, and properties store information about nodes and edges. Graph databases are particularly well-suited for applications that involve complex relationships and interconnected data, such as social networks, recommendation engines, fraud detection, and network analysis.
Database Security Software
Database security software helps organizations protect databases and sensitive data from unauthorized access, cyber threats, insider risks, and compliance violations. These platforms provide capabilities such as activity monitoring, access controls, vulnerability assessment, encryption, auditing, threat detection, and policy enforcement across on-premises, cloud, and hybrid database environments. The software often includes real-time monitoring, privileged user oversight, anomaly detection, database firewall functionality, data masking, and compliance reporting to help safeguard critical information assets. Many database security solutions integrate with identity and access management (IAM), SIEM, data loss prevention (DLP), vulnerability management, and security operations platforms to provide comprehensive database protection. By continuously monitoring database activity and enforcing security policies, database security software helps organizations reduce data breach risks, maintain regulatory compliance, and protect sensitive business information.
Columnar Databases
Columnar databases, also known as column-oriented databases or column-store databases, are a type of database that store data in columns instead of rows. Columnar databases have some advantages over traditional row databases including speed and efficiency.
Database Monitoring Tools
Database monitoring tools help businesses and IT teams track, analyze, and optimize the performance of their databases to ensure smooth operation, prevent downtime, and maintain data integrity. These tools typically provide features for real-time monitoring of database metrics such as query performance, response times, CPU and memory usage, and disk space utilization. Database monitoring software often includes alerting mechanisms for detecting issues such as slow queries or resource bottlenecks, as well as detailed reporting and analytics to improve database efficiency and scalability. By using these tools, organizations can proactively manage database health, troubleshoot problems, and optimize system performance.
Relational Database
Relational database software provides users with the tools to capture, store, search, retrieve and manage information in data points related to one another.
Database Backup Software
Database backup software solutions enable organizations to back up their databases so that they can restore the databases if necessary. Database backup software is essential for companies of all kinds that want to protect against corrupted data, broken hardware, or employee missteps.
Time Series Databases
Time series databases (TSDB) are databases designed to store time series and time-stamped data as pairs of times and values. Time series databases are useful for easily managing and analyzing time series.
NoSQL Database
NoSQL database software provides the tools to store, capture and retrieve of big data through the use of non tabular databases.
Distributed Databases
Distributed databases store data across multiple physical locations, often across different servers or even geographical regions, allowing for high availability and scalability. Unlike traditional databases, distributed databases divide data and workloads among nodes in a network, providing faster access and load balancing. They are designed to be resilient, with redundancy and data replication ensuring that data remains accessible even if some nodes fail. Distributed databases are essential for applications that require quick access to large volumes of data across multiple locations, such as global eCommerce, finance, and social media. By decentralizing data storage, they support high-performance, fault-tolerant operations that scale with an organization’s needs.
Database Virtualization Software
Database virtualization software provides IT professionals a solution for virtualization databases in order to allow the pooling and usage of resources to be allocated when needed.
Database Design Software
Database design software is a type of computer program used to create, modify and manage databases. It enables users to define the structure of a database and the relationships between different data fields. It also allows the user to perform various operations on existing databases such as editing, backing up, transferring data and creating reports.
Vector Databases
Vector databases are a type of database that use vector-based data structures, rather than the traditional relational models, to store information. They are used in artificial intelligence (AI) applications such as machine learning, natural language processing and image recognition. Vector databases support fast and efficient data storage and retrieval processes, making them an ideal choice for AI use cases. They also enable the integration of structured and unstructured datasets into a single system, offering enhanced scalability for complex projects.
Document Databases
Document databases are a type of NoSQL database designed to store, manage, and retrieve semi-structured data in the form of documents, typically using formats like JSON, BSON, or XML. Unlike traditional relational databases, document databases do not require a fixed schema, allowing for greater flexibility in handling diverse and evolving data structures. Each document in the database can contain different fields and data types, making it ideal for applications where data is complex and varied. These databases excel at scaling horizontally, making them well-suited for handling large volumes of data across distributed systems. Document databases are commonly used in modern web and mobile applications, where they provide efficient storage and fast access to rich, nested data structures.
OLAP Databases
OLAP (Online Analytical Processing) databases are designed to support complex queries and data analysis, typically for business intelligence and decision-making purposes. They enable users to interactively explore large volumes of multidimensional data, offering fast retrieval of insights across various dimensions such as time, geography, and product categories. OLAP databases use specialized structures like cubes to allow for rapid aggregation and calculation of data. These databases are highly optimized for read-heavy operations, making them ideal for generating reports, dashboards, and analytical queries. Overall, OLAP databases help organizations quickly analyze data to uncover patterns, trends, and insights for better decision-making.
SQL Databases
SQL databases are structured systems that use the Structured Query Language (SQL) to store, retrieve, and manage data. They organize data into tables with rows and columns, ensuring that information is easily accessible, consistent, and scalable. SQL databases are widely used in applications that require complex queries, transactions, and data integrity, making them essential for web applications, financial systems, and enterprise environments. These databases offer robust features for security, data normalization, and maintaining relationships between different datasets. Overall, SQL databases are fundamental to managing relational data efficiently and reliably across various industries.
Embedded Database Systems
Embedded database systems are lightweight, self-contained databases that are integrated directly into applications, allowing data management without requiring a separate database server. They are optimized for performance and simplicity, often running within the same process as the host application, making them ideal for use in mobile apps, IoT devices, and small-scale applications. These databases support SQL or other query languages and offer full database functionality, including transaction management and data integrity. Embedded database systems are designed to operate with minimal configuration, providing fast, reliable data storage and retrieval within constrained environments. Their ease of integration and low resource usage make them essential for applications that need efficient local data management without the overhead of external databases.
Database Clients
Database clients are tools or applications used to connect to a database server and interact with its data. They allow users to perform operations such as querying, updating, inserting, and deleting records through a structured language. These clients often offer intuitive interfaces or command-line options to simplify database management tasks. They are essential for managing data efficiently, catering to both small-scale and enterprise-level needs. By providing a bridge between users and the database, they streamline data access and administration.
View more categories (20) for "delphi database"

687 Products for "delphi database" with 1 filter applied:

  • 1
    Delphi

    Delphi

    Delphi

    ...Our revolutionary digital cloning platform can capture how you think, making your knowledge, experiences, personality, and opinions available to anyone who interacts with your Delphi clone. We will never share your data or IP with any other models. Your clone is yours, and yours only. Provide personalized responses for each audience member. Drive engagement by providing suggested questions. Quantify your impact in your clone dashboard. Gain valuable insights into your clone's interactions and use this data to refine and optimize your content strategy.
    Starting Price: $29 per month
  • 2
    Couchbase

    Couchbase

    Couchbase

    Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services. Bring your data to life in new ways with Couchbase’s enterprise data partnership: launch game-changing customer experiences, explore the infinite possibilities of AI, scale your global operations, and move your data from the cloud to the edge, and beyond. Couchbase’s operational data platform for AI...
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  • 3
    Google Cloud BigQuery
    BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more...
    Starting Price: Free ($300 in free credits)
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  • 4
    AI for Database

    AI for Database

    Vynara Technologies

    AI for Database connects to operational databases so teams can ask questions in plain language, inspect query results, create dashboards, and configure scheduled workflows with authenticated webhook actions. It also offers a scoped REST API with organization-scoped keys.
    Starting Price: Free plan; Pro $19/month
  • 5
    Google Cloud Platform
    ...From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.
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    Starting Price: Free ($300 in free credits)
  • 6
    Databricks

    Databricks

    Databricks

    The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with...
  • 7
    VaxVoIP Agent AI SDK
    ...It bridges live SIP call audio with AI so developers can build multilingual telephone agents and commercial voice applications without implementing the low-level telephony and model connection themselves. The SDK includes technical documentation and sample projects for Visual C# .NET, Visual Basic .NET and Delphi. Supported use cases include AI receptionists, customer service and information agents, outbound voice agents, and smart IVR applications. It is intended for developers, VoIP providers and businesses creating voice-agent solutions for existing telephony environments. A 30-day functional trial is offered; commercial licenses are sold annually by call capacity and service scope.
    Starting Price: $1,480/year
  • 8
    Apollo

    Apollo

    Apollo.io

    Apollo is an AI-powered sales intelligence and engagement platform designed to help revenue teams find prospects, build pipeline, manage outreach, and close deals from one system. The platform combines a large B2B contact and company database with lead scoring, data enrichment, multichannel sales engagement, workflow automation, meeting scheduling, calling, and deal management. Outbound teams can identify target accounts, find verified contact information, create automated email and call sequences, and prioritize daily selling activities. Inbound capabilities help organizations identify website visitors, qualify leads, enrich incoming records, and route prospects to the appropriate sales representatives. ...
    Starting Price: $49/seat/month
  • 9
    Oracle Autonomous Database
    Oracle Autonomous Database is a fully automated cloud database that uses machine learning to automate database tuning, security, backups, updates, and other routine management tasks traditionally performed by DBAs. It supports a wide range of data types and models, including SQL, JSON documents, graph, geospatial, text, and vectors, enabling developers to build applications for any workload without integrating multiple specialty databases.
    Starting Price: $123.86 per month
  • 10
    Retool

    Retool

    Retool

    Securely deploy vibe-coded apps in one governed platform. Build in Retool, import from tools like Claude Code, Replit, or Lovable, or connect via MCP. However your team builds, every app ships safely, with governance built in. People across your organization are already vibe-coding internal tools with no SSO, no RBAC, no audit logs, and no connection to your existing data controls. Retool is where secure vibe coding happens by default. Build from scratch, import an app from another AI...
    Starting Price: $10 per user per month
  • 11
    MongoDB Atlas
    The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. ...
    Starting Price: $0.08/hour
  • 12
    Teradata VantageCloud
    Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It...
  • 13
    Snowflake

    Snowflake

    Snowflake

    Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates...
    Starting Price: $2/credit
  • 14
    GibsonAI

    GibsonAI

    GibsonAI

    GibsonAI is an innovative AI-powered database engineer that revolutionizes the entire database lifecycle by automating everything from design to deployment. With a simple conversation in plain English, users can instantly generate complete database solutions including entity-relationship diagrams, optimized schemas, fully deployed hosted databases, live CRUD APIs, and comprehensive documentation—all without writing SQL or managing DevOps.
    Starting Price: $20/month
  • 15
    Chroma

    Chroma

    Chroma

    Chroma is an AI-native open-source embedding database. Chroma has all the tools you need to use embeddings. Chroma is building the database that learns. Pick up an issue, create a PR, or participate in our Discord and let the community know what features you would like.
    Starting Price: Free
  • 16
    AllegroGraph

    AllegroGraph

    Franz Inc.

    AllegroGraph is a breakthrough solution that allows infinite data integration through a patented approach unifying all data and siloed knowledge into an Entity-Event Knowledge Graph solution that can support massive big data analytics. AllegroGraph utilizes unique federated sharding capabilities that drive 360-degree insights and enable complex reasoning across a distributed Knowledge Graph. AllegroGraph provides users with an integrated version of Gruff, a unique browser-based graph...
  • 17
    NeoBase

    NeoBase

    NeoBase

    ...Get AI-driven suggestions to improve database performance.
    Starting Price: Free
  • 18
    LanceDB

    LanceDB

    LanceDB

    LanceDB is a developer-friendly, open source database for AI. From hyperscalable vector search and advanced retrieval for RAG to streaming training data and interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application. Installs in seconds and fits seamlessly into your existing data and AI toolchain. An embedded database (think SQLite or DuckDB) with native object storage integration, LanceDB can be deployed anywhere and easily scales to zero when not in use. ...
    Starting Price: $16.03 per month
  • 19
    Milvus

    Milvus

    Zilliz

    Vector database built for scalable similarity search. Open-source, highly scalable, and blazing fast. Store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models. With Milvus vector database, you can create a large-scale similarity search service in less than a minute. Simple and intuitive SDKs are also available for a variety of different languages.
    Starting Price: Free
  • 20
    Releem

    Releem

    Releem

    ...It works like monitoring system with the active agent installed on the database server.
    Starting Price: Free
  • 21
    Quasar AI

    Quasar AI

    QuasarDB

    Quasar is a high-cardinality analytics infrastructure designed for handling large-scale numerical data. It is built to support modern AI systems that rely on telemetry, trades, sensors, and simulations. The platform replaces traditional data stacks with a single distributed system for improved performance. It eliminates latency caused by batch pipelines and multi-stage ETL processes. Quasar also reduces costs by avoiding repeated data scans and complex infrastructure layers. With...
  • 22
    Zilliz Cloud
    Zilliz Cloud is a fully managed vector database based on the popular open-source Milvus. Zilliz Cloud helps to unlock high-performance similarity searches with no previous experience or extra effort needed for infrastructure management. It is ultra-fast and enables 10x faster vector retrieval, a feat unparalleled by any other vector database management system. Zilliz includes support for multiple vector search indexes, built-in filtering, and complete data encryption in transit, a requirement for enterprise-grade applications. ...
    Starting Price: $0
  • 23
    Paycom

    Paycom

    Paycom

    ...Its built-in decisioning logic and full-solution automation help reduce administrative work for HR, managers and employees while creating a more consistent experience across the organization. Because all HR and payroll information is stored in a single database, businesses seamlessly work from more accurate data without the challenges of disconnected systems. As a result, teams spend less time on paperwork and manual processes, and more time focusing on employees, productivity and business goals. Founded in 1998, Paycom serves businesses across the U.S. and internationally.
  • 24
    SuperDuperDB

    SuperDuperDB

    SuperDuperDB

    Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. ...
  • 25
    Amazon Redshift
    ...Redshift is built for scalability and cost efficiency, offering improved throughput and price-performance with AWS Graviton-powered RG instances and Redshift Serverless options. The solution also supports near real-time analytics through zero-ETL integrations that connect operational databases, streaming services, and enterprise applications without complex data pipelines. Amazon Redshift integrates with Amazon SageMaker and Amazon Bedrock to support advanced machine learning, analytics, and generative AI use cases.
    Starting Price: $0.543 per hour
  • 26
    ArangoDB

    ArangoDB

    ArangoDB

    Natively store data for graph, document and search needs. Utilize feature-rich access with one query language. Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it. Polyglot persistence without the costs. Easily design, scale and adapt your architectures to changing needs and with much less effort. Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets.
  • 27
    ChatDB

    ChatDB

    ChatDB

    ...We parse the AI-generated SQL query before executing it against the database to ensure it is a SELECT statement. However, to have 100% fool proof protection, we recommend creating a read-only account for ChatDB to use with the database.
    Starting Price: $29.99 per month
  • 28
    Tembo

    Tembo

    Tembo

    Tembo is an AI-powered engineering assistant designed to automate routine coding tasks, helping developers focus on innovation. It monitors systems 24/7 to identify and fix production errors automatically, transforming error logs into pull requests while you sleep. Tembo optimizes database performance by diagnosing slow queries and missing indexes, improving efficiency. It integrates seamlessly with tools like GitHub, Jira, Linear, and Datadog to convert tickets and error reports into actionable code changes. The platform also explores codebases to uncover technical debt and security issues for refactoring opportunities. ...
    Starting Price: $50
  • 29
    AskYourDatabase

    AskYourDatabase

    AskYourDatabase

    Forget complex SQL or Python scripts, connect your database, and start chatting with your data. This plugin is a ChatGPT demo for further development. It only supports PostgreSQL, but you can copy and use it as a starting point for developing your own plugin. After you install it, you can try it with your PostgreSQL database, if you don't have one, you can try Vercel Postgres and get a free Postgres DB.
  • 30
    TopK

    TopK

    TopK

    TopK is a serverless, cloud-native, document database built for powering search applications. It features native support for both vector search (vectors are simply another data type) and keyword search (BM25-style) in a single, unified system. With its powerful query expression language, TopK enables you to build reliable search applications (semantic search, RAG, multi-modal, you name it) without juggling multiple databases or services.
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