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It is the leader in data virtualization providing data access, data governance and data delivery capabilities across the broadest range of enterprise, cloud, big data, and unstructured data sources without moving the data from their original repositories. | Open iT LicenseAnalyzer™ meters, analyzes, and optimizes software usage for over 6,000 applications, including license-managed, standalone, SaaS, and cloud-based software. It offers three levels of optimization: Level 1 tracks runtime usage and generates detailed reports, Level 2 measures true active usage independent of license type, and Level 3 discovers and suspends or terminates inactive applications to free up licenses for redeployment. LicenseAnalyzer™ also automates license harvesting and simulates different licensing models, providing a complete software asset management solution for on-premises, SaaS, and cloud environments without changes to the infrastructure. |
Data virtualization;
Data query;
Data views | True Active Usage metering, Automated license harvesting, Historical usage reporting, Customizable dashboards & alerts, Supports 6000+ engineering apps (CAD/CAM/PLM/SaaS), License inventory & compliance tracking, ROI analysis & chargeback simulation |
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It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.