Technical depth from the team that built Apache Flink. Architecture decisions, performance benchmarks, production patterns, and product announcements. Published when there is something worth reading.
Ververica and leading data vendors formed the Streamhouse Working Group to establish an open, vendor-neutral architecture uniting batch and real-time processing under a single, unified framework.
Jaime López
VERA, the cloud-native engine for Apache Flink. Explore its core pillars: Streaming Data Movement, Real-time Stream Processing, and Streaming Lakehouse.
VERA: The Cloud Native Engine Revolutionizing Apache Flink®. Discover how VERA optimizes and modernizes Flink for high-performance stream processing.
Learn about Ververica's journey to revolutionize stream processing. Explore VERA, the engine powering our advanced Unified Streaming Data Platform.
Learn how ING Bank leveraged FlinkSQL to build a novel HTTP connector for data enrichment, connecting to API endpoints for stream processing.
Erik de Nooij, engineering lead for streaming data analytics at ING, on adopting Apache Flink in 2016, moving to a Flink SQL-only approach, and streaming for AI.
Discover how Ververica donated Flink CDC to Apache Software Foundation, empowering real-time data integration.
Learn how to build real-time data views using Streamhouse and Apache Paimon. Discover how to implement a data analytics pipeline.
Apache Paimon, the powerful streaming lakehouse that combines the flexibility of data lakes and the optimization of data warehouses, releases version 0.6!
Streamhouse is unified batch and stream architecture on Ververica Cloud: a fully managed cloud-native service that runs your Apache Flink® applications.
Learn the fundamentals of Apache Flink® and stream processing in this engaging course. Develop high-performance applications and explore Flink SQL.
This tutorial will show you how to use Flink CDC to build a real-time data lake to synchronize MySQL sub-database and sub-table
Learn how to build a real-time streaming ETL pipeline for MySQL and Postgres using Flink CDC, integrating data into Elasticsearch without coding.
Flink CDC v2.3 enhances real-time data integration with new connectors, improved stability, and performance optimizations. Discover the latest features and future plans.
Discover how to simplify SQL analytics on the Ververica Platform using user-defined functions (UDFs) for streamlined data extraction and insights.
Discover how Ververica Platform's Autopilot automates the autoscaling of Apache Flink applications, ensuring optimal performance and resource utilization.
