Apache Spark Reviews

RisingWave Reviews

Apache Spark mentions (70)

• Every Database Will Support Iceberg — Here's Why

  Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / 12 days ago

• How to Reduce Big Data Analytics Costs by 90% with Karpenter and Spark

  Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / 13 days ago

• Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom

  One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / about 2 months ago

• The Application of Java Programming In Data Analysis and Artificial Intelligence

  [1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / about 2 months ago

• Automating Enhanced Due Diligence in Regulated Applications

  If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 3 months ago

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 / 12 days 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 / 14 days 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 / 16 days 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 / 17 days ago

• How to Pitch Your Boss to Adopt Apache Iceberg?

  Real-time pipelines might need RisingWave or Apache Kafka. - Source: dev.to / 23 days ago