Infatica

Infatica

Infatica is an open-source business intelligence and data analytics platform. It provides tools for reporting, visualizations, dashboards, and ad-hoc data exploration. Infatica is known for its flexibility, scalability, and ease of use.
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opensource business-intelligence data-analytics reporting visualizations dashboards adhoc-data-exploration flexible scalable easy-to-use

Infatica: Open-Source Business Intelligence

An open-source BI and analytics platform offering reporting, visualizations, dashboards, and ad-hoc data exploration with flexibility, scalability, and ease of use.

What is Infatica?

Infatica is an open-source business intelligence and data analytics software suite developed by Infatica Inc. It provides a range of capabilities for transforming, analyzing, visualizing and exploring enterprise data at scale. Some of the key features of Infatica include:

  • Interactive dashboards and reports for data visualization
  • A drag-and-drop interface for building queries without coding
  • Support for connecting to many data sources such as SQL, NoSQL, cloud apps etc.
  • Options for scheduling and distributing reports
  • Customizable analytics applications and workflows
  • Role based access control and governance
  • APIs for embedding analytics and building custom apps
  • Connectors for R and Python for advanced analytics
  • Support for big data platforms like Hadoop and Spark for scalability

A key advantage of Infatica over proprietary BI tools is its open-source nature which allows extending capabilities at low costs compared to commercial solutions. It can handle data volumes ranging from gigabytes to petabytes on both on-premise and cloud infrastructure. The recent Infatica 6 release added enhanced support for cloud-based data sources and AI-driven analytics.

Infatica Features

Features

  1. Open source BI platform
  2. Interactive data visualizations and dashboards
  3. Ad-hoc reporting and analysis
  4. Data integration and ETL
  5. In-memory analytics engine
  6. Web-based interface and mobile support
  7. Scalable architecture
  8. Rich set of connectors to data sources
  9. Powerful calculation engine
  10. Metadata layer for modeling data

Pricing

  • Open Source

Pros

Free and open source

Highly customizable and extensible

Fast in-memory performance

Intuitive drag and drop interface

Connects to many data sources

Active community support

Cons

Limited prebuilt connectors compared to paid BI tools

Steeper learning curve than some BI tools

Advanced features may require coding

Lacks some enterprise-level capabilities


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