RisingWave Reviews and Details

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Social recommendations and mentions

• Build a Real-Time Gaming Analytics Pipeline with Just SQL

  Player data is ingested into a Kafka topic, and RisingWave consumes this stream to create materialized views for real-time analysis. Using BI tools like Superset or Grafana, we’ll build dashboards to monitor player performance and power leaderboards. Finally, I’ll show how the results from RisingWave can be sent to analytics platforms like BigQuery, Snowflake, or StarRocks and ML models for downstream applications... - Source: dev.to / 14 days ago

• The Equality Delete Problem in Apache Iceberg

  RisingWave is the only system today that supports complete, end-to-end architecture for streaming CDC into Apache Iceberg, making it the state-of-the-art solution in this space. - Source: dev.to / about 1 month ago

• Towards Sub-100ms Latency Stream Processing with an S3-Based Architecture

  RisingWave is a high-performance streaming database built in Rust. It’s PostgreSQL-compatible and lets users write sophisticated stream processing logic using standard SQL - no need to learn a new DSL or framework. - Source: dev.to / 3 months ago

• Unlock the Power of Real‑Time HubSpot CRM Automation

  We're excited to announce that now you can: by integrating HubSpot webhooks directly with RisingWave. This powerful connection allows you to stream your CRM, marketing, and sales data from HubSpot into our unified data platform for true real-time processing, analysis, and automation. - Source: dev.to / 3 months ago

• Introducing RisingWave's Hosted Iceberg Catalog-No External Setup Needed

  At RisingWave, our goal is to simplify the process of building real-time data applications. A key part of this is enabling users to build modern, open data architectures. That’s why we developed the Iceberg Table Engine (see the Iceberg table engine docs), which allows you to stream data directly into tables using the open Apache Iceberg format. This is a powerful way to build a streaming lakehouse where your data... - Source: dev.to / 3 months ago

• 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 / 5 months 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 / 5 months 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 / 6 months 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 / 6 months ago

• How to Pitch Your Boss to Adopt Apache Iceberg?

  Real-time pipelines might need RisingWave or Apache Kafka. - Source: dev.to / 6 months ago

• Simplifying SQL function implementation with Rust procedural macro

  RisingWave is a stream processing engine that supports the SQL language. Under the hood, it uses a vectorization model based on columnar in-memory storage. In this model, the data of a table is partitioned by columns, and the data of each column is continuously stored in an array. For illustrative purposes, we use the Apache Arrow format, the industry standard for columnar memory format, as an example. The figure... - Source: dev.to / 7 months ago

• Building Real-Time Trading Analytics: A Step-by-Step Guide with Solace PubSub+ and RisingWave

  RisingWave is a SQL data platform that is fully compatible with PostgreSQL, designed to meet the needs of modern data-driven applications. It is tailored for building event-driven applications, real-time ETL pipelines, continuous analytics services, and feature stores for AI applications. It excels at extracting fresh and consistent insights from diverse data sources, including real-time event streams, database... - Source: dev.to / 7 months ago

• Building Real-Time Graph Analysis Pipeline with RisingWave and PuppyGraph

  RisingWave is a modern SQL-based data platform, fully compatible with PostgreSQL, crafted to serve the dynamic needs of today’s data-driven applications. Designed with versatility in mind, it powers event-driven architectures, real-time ETL pipelines, continuous analytics services, and feature stores for AI, making it an essential tool for organizations aiming to harness the value of their data. RisingWave excels... - Source: dev.to / 7 months ago

• Time-Series Databases vs. Streaming Databases: Key Differences & Use Cases

  This comparison highlights the key differences between TSDBs and streaming databases. Choosing the right tool depends on your specific needs, particularly whether you need to analyze historical trends or react to events in real-time. If you're curious about streaming databases, explore RisingWave – it's open-source, and you can find more resources and tutorials on our website and community! - Source: dev.to / 7 months ago

• Stream Processing Systems in 2025: RisingWave, Flink, Spark Streaming, and What's Ahead

  Pioneering companies like StreamBase (now part of TIBCO) began commercializing the technology on Wall Street in the 2000s. However, only in recent years have companies started to embrace commercializing stream processing in the cloud. RisingWave was introduced in early 2021; Confluent acquired Immerok and began commercializing Apache Flink in 2023. Databricks also announced Project Lightspeed, a new version of... - Source: dev.to / 8 months ago

• OpenAI Acquires Rockset

  As others have mentioned, this acquisition leaves many Rockset customers in a tough spot with a short timeline to migrate. I'd like to bring attention to a potential alternative: RisingWave(https://risingwave.com/). RisingWave is an open-source streaming database designed for real-time analytics and data processing. Like Rockset, it offers PostgreSQL compatibility and impressive ability to handle both streaming... - Source: Hacker News / over 1 year ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  To fully leverage the data is the new oil concept, companies require a special database designed to manage vast amounts of data instantly. This need has led to different database forms, including NoSQL databases, vector databases, time-series databases, graph databases, in-memory databases, and in-memory data grids. Recent years have seen the rise of cloud-based streaming databases such as RisingWave, Materialize,... - Source: dev.to / over 1 year ago

• Real-Time Data Enrichment and Analytics With RisingWave and ClickHouse

  RisingWave is an open-source distributed SQL database for stream processing. It is designed to reduce the complexity and cost of building real-time applications. RisingWave offers users a PostgreSQL-like experience specifically tailored for distributed stream processing. - Source: dev.to / almost 2 years ago