Open iT LicenseAnalyzer™ vs Sigma Computing
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is modern analytics built for the cloud. Trusted by data-first companies, it provides live access to cloud data warehouses using an intuitive spreadsheet interface that empowers business experts to ask more questions without writing a single line of code. With the full power of SQL, the cloud, and a familiar interface, business users have the freedom to analyze data in real time without limits. | 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. |
Ad Hoc Reports; Benchmarking; Dashboard; Key Performance Indicators ;Performance Metrics; Predictive Analytics; Visual Analytics; Embedded Dashboards; SQL runner; Self-service Analytics; Visual Data Modeling | 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 |
Statistics | |
Stacks 21 | Stacks 1 |
Followers 27 | Followers 1 |
Votes 0 | Votes 1 |
Integrations | |
| No integrations available | |
What are some alternatives to Sigma Computing, Open iT LicenseAnalyzer™?
Metabase
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
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
Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.
Power BI
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.
Mode
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.
Google Datastudio
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.
AskNed
AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.
Redash
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.
Shiny
It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.
Azure Synapse
It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
