Real-time data analytics with Apache Superset, Redpanda, and RisingWave

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB - Purpose built for real-time analytics at any scale.
InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
  • risingwave

    Best-in-class stream processing, analytics, and management. Perform continuous analytics, or build event-driven applications, real-time ETL pipelines, and feature stores in minutes. Unified streaming and batch. PostgreSQL compatible.

    There is a dedicated tutorial on how to monitor live stream metrics where you learn how to set up the project using Docker Compose, and how to create materialized views and query results with SQL. You can access the demo code needed to complete the tutorial in the GitHub repo here.

  • InfluxDB

    Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.

    InfluxDB logo
  • superset

    Apache Superset is a Data Visualization and Data Exploration Platform

    In today's fast-paced data-driven world, organizations must analyze data in real-time to make timely and informed decisions. Real-time data analytics enables businesses to gain valuable insights, respond to real-time events, and stay ahead of the competition. Also, the analytics engine must be capable of running analytical queries and returning results in real-time. In this article, we will explore how you can build a real-time data analytics solution using the open-source tools Redpanda a distributed streaming platform, Apache Superset, a data visualization, and a business intelligence platform, combined with RisingWave a streaming database.

  • redpanda

    Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

    In today's fast-paced data-driven world, organizations must analyze data in real-time to make timely and informed decisions. Real-time data analytics enables businesses to gain valuable insights, respond to real-time events, and stay ahead of the competition. Also, the analytics engine must be capable of running analytical queries and returning results in real-time. In this article, we will explore how you can build a real-time data analytics solution using the open-source tools Redpanda a distributed streaming platform, Apache Superset, a data visualization, and a business intelligence platform, combined with RisingWave a streaming database.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • Real-time Data Processing Pipeline With MongoDB, Kafka, Debezium And RisingWave

    3 projects | dev.to | 18 Jul 2023
  • how to get into data eng pt.2

    2 projects | /r/dataengineering | 25 Apr 2021
  • BI Companies that are actually innovating

    2 projects | /r/BusinessIntelligence | 22 Mar 2021
  • Hive: An Open-Source Data Warehouse Built on Apache Hadoop

    1 project | news.ycombinator.com | 13 Aug 2024
  • SQLiteStudio: Create, edit, browse SQLite databases

    1 project | news.ycombinator.com | 17 May 2024