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How Apache Supersetâ„¢ Supports Real-Time Analytics

Blog post from Preset

Post Details
Company
Date Published
Author
Srini Kadamati
Word Count
1,016
Company Posts That Month
3
Language
English
Hacker News Points
-
Post removed?
No
Summary

Apache Superset, originally developed as a hackathon project at Airbnb, is an open-source business intelligence tool designed to support real-time analytics by integrating seamlessly with existing data stacks, including both OLTP and OLAP databases, as well as query engines and data lakes. Superset functions as a thin layer over these systems, allowing it to query a wide range of data engines using common standards like SQLAlchemy and the Python DB-2.0 API. It is optimized for real-time data visualization, offering a variety of time series charts and supporting features like annotations, alerts via Slack and email, and time series forecasting using the Prophet library. The platform is evolving to include a larger gallery of charts through integration with Apache ECharts and is developing cross-filtering capabilities to enhance user interactivity and data exploration in dashboards.

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