Best Big Data Apps for iPad

RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.

Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives. Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI. Domo works with cloud data platforms including Snowflake, BigQuery, and Databricks to turn governed data into AI agents, apps, workflows, dashboards, and analytics. Its data foundation, activation, and distribution layers help teams build and deliver intelligence where work happens, with governance, security, and access controls across data and AI.

We build workforce data, so you don't have to. People Data Labs provides comprehensive workforce profiles built with quality, coverage, and depth in mind. We collect, standardize, and refresh data, so you can build innovative products.

List & Label is a reporting SDK designed to help developers add reporting, printing, previewing and export capabilities to web, cloud and desktop applications. It seamlessly integrates into environments such as .NET 8/9/10, .NET Framework 4.x, C#, C/C++, Delphi/VCL and ASP.NET Core MVC. Developers can connect to various data sources and add flexible options for designing, generating and distributing reports. With the WYSIWYG Report Designer, developers and end users can create or edit report templates from database or other sources, and prepare that data for printing, previewing or exporting. For web applications, the browser-based Web Report Designer for ASP.NET MVC enables teams to design report templates in the browser, offering greater flexibility and reducing dependency on local design tools. List & Label Cross Platform brings reporting to modern cross-platform .NET applications, generating reports on Windows, Linux, macOS, iOS and Android without native dependencies.

Amazon QuickSight allows everyone in your organization to understand your data by asking questions in natural language, exploring through interactive dashboards, or automatically looking for patterns and outliers powered by machine learning. QuickSight powers millions of dashboard views weekly for customers such as the NFL, Expedia, Volvo, Thomson Reuters, Best Western and Comcast, allowing their end-users to make better data-driven decisions. Ask conversational questions of your data and use Q’s ML-powered engine to receive relevant visualizations without the time-consuming data preparation from authors and admins. Discover hidden insights from your data, perform accurate forecasting and what-if analysis, or add easy-to-understand natural language narratives to dashboards by leveraging AWS' expertise in machine learning. Easily embed interactive visualizations and dashboards, sophisticated dashboard authoring, or natural language query capabilities in your applications.