RisingWave Reviews

Apache Storm Reviews

RisingWave mentions (13)

• Every Database Will Support Iceberg — Here's Why

  RisingWave started as a distributed streaming database with a PostgreSQL interface. We wanted to make it easy to process real-time data using standard SQL. But we quickly realized that many teams don’t just want to process streaming data — they want to store it in a way that’s reusable by other tools downstream. - Source: dev.to / about 1 month ago

• Be Water, Ride the Wave: What Time Taught Me About Building Infra

  This month (April 2025) marks 4 years and 1 month since I started building RisingWave. - Source: dev.to / about 1 month ago

• RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing

  When we started RisingWave four years ago, we set out with a bold mission: to democratize stream processing (check our original blog here). Back then, building real-time streaming applications felt like climbing a mountain. It required specialized infrastructure, deep engineering know-how, and a hefty operational commitment. Stream processing had incredible potential, but its sheer complexity kept it locked away... - Source: dev.to / about 1 month ago

• Detect Spoofing in Real Time Using Just SQL and Open-Source Tools

  RisingWave is a unified real-time data processing and management platform. It allows users to ingest, process, and query streaming data using familiar SQL. For this demonstration, we'll particularly leverage RisingWave's materialized views, which continuously and incrementally compute results as new data arrives, enabling real-time analysis without constant re-computation. Additionally, its Python SDK simplifies... - Source: dev.to / about 1 month ago

• How to Pitch Your Boss to Adopt Apache Iceberg?

  Real-time pipelines might need RisingWave or Apache Kafka. - Source: dev.to / about 2 months ago

Apache Storm mentions (11)

• Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges

  There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 2 years ago

• Real Time Data Infra Stack

  Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 2 years ago

• In One Minute : Hadoop

  Storm, a system for real-time and stream processing. - Source: dev.to / over 2 years ago

• Elon Musk reportedly wants to fire 75% of Twitter’s employees

  Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: over 2 years ago

• Spark for beginners - and you

  Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 3 years ago