Best Data Analysis Software for Linux

QuerySurge leverages AI to automate the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Apps/ERPs with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Hadoop & NoSQL Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Projects: Multi-project support - AI: automatically create datas validation tests based on data mappings - Smart Query Wizards: Create tests visually, without writing SQL - Data Quality at Speed: Automate the launch, execution, comparison & see results quickly - Test across 200+ platforms: Data Warehouses, Hadoop & NoSQL lakes, databases, flat files, XML, JSON, BI Reports - DevOps for Data & Continuous Testing: RESTful API with 60+ calls & integration with all mainstream solutions - Data Analytics & Data Intelligence:  Analytics dashboard & reports

No need to talk to the users to know what they experienced (replay, behavior insights, etc). End-2-end Transaction Insights (business, technology, etc). User interface design or technology issues may contribute to poor user experience. Germain UX identifies use cases and root-cause of issues down to the user click and scenario and technology (network request, code, sql, etc). Lack of training, poor organization, attrition may contribute to ineffective business operations. Germain UX identifies main gaps and their root-cause, in real-time and 24×7. Overloaded call center, lack of expertise, hard to find information on a website may all contribute to low prospect conversion rate. Germain UX helps identify actionable insights. Ineffective product or service, lack of support, hard-to-find online material, may all contribute to a poor customer experience and attrition. Germain UX identifies actionable insights around that, 24×7 and in real-time.

Faros AI connects the dots between your engineering data sources – ticketing, source control, CI/CD, and more – giving unprecedented visibility and insight into your engineering processes. Be amazed at what you can achieve with Faros AI. With Faros AI, engineering leaders can scale their operations in a more data-informed way — using data to identify bottlenecks, measure progress towards organizational goals, better support teams with the right resources, and accurately assess the impact of interventions over time. DORA Metrics come standard in Faros AI, and the platform is extensible to allow organizations to build their own custom dashboards and metrics so they can get deep insights into their engineering operations and take intelligent action in a data-driven manner. Leading organizations including Box, Coursera, GoFundMe, Astronomer, Salesforce, etc. trust Faros AI as their engops platform of choice.

Real-time operations monitoring and data visualization, including KPIs, dashboards, trends, analytics, hierarchy and alerts. Aggregates all of your data sources (industrial, IoT, business, external, etc.) on the fly without moving the data, and displays it in real-time with obvious context on any device.

Gravwell is an all-you-can-ingest data fusion analytics platform that enables complete context and root cause analytics for security and business data. Gravwell was founded to bring the benefits of usable machine data to all customers: large or small, text or binary, security or operational. When experienced hackers and big data experts team-up you get an analytics platform capable of things never seen before. Gravwell enables security analytics that go well beyond log data into industrial processes, vehicle fleets, IT infrastructure, or everything combined. Need to hunt down a suspected access breach? Gravwell can correlate building access logs and run facial recognition machine learning against camera data to isolate multiple subjects entering a facility with a single badge-in. We exist to provide analytics capabilities to people who need more than just text log searching and need it sooner rather than later at a price they can afford.