While the World Buffers, We Act.
We tore down the facade. With No Mercy Magenta and a new voice we challenge 'real-time' pretenders. We are the authoritative operator for sovereign, low-latency AI. The world is buffering. We are not.
Fabian Wilckens
engineering. Product. Apache Flink. No Filler.
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.
Fabian Wilckens
Ververica donates Flink CDC - Empowering Real-Time Data Integration
Discover how Ververica donated Flink CDC to Apache Software Foundation, empowering real-time data integration.
Ververica9 min read
Building real-time data views with Streamhouse
Learn how to build real-time data views using Streamhouse and Apache Paimon. Discover how to implement a data analytics pipeline.
Alexey Novakov12 min read
Streamhouse: Data Processing Patterns
Learn about Streamhouse, a data processing pattern that combines real-time stream processing with the structured nature of data warehouses.
Giannis Polyzos13 min read
Apache Paimon 0.6 Released
Apache Paimon, the powerful streaming lakehouse that combines the flexibility of data lakes and the optimization of data warehouses, releases version 0.6!
Giannis Polyzos2 min read
Streamhouse Unveiled
Streamhouse is unified batch and stream architecture on Ververica Cloud: a fully managed cloud-native service that runs your Apache Flink® applications.
Ververica19 min read
Apache Paimon: the Streaming Lakehouse
Discover Apache Paimon, the powerful streaming lakehouse that combines the flexibility of data lakes and the optimization of data warehouses.
Giannis Polyzos15 min read
Bootstrap Data Pipeline via Flink HybridSource
Learn how to easily bootstrap a data pipeline using Apache Flink's HybridSource. This blog post provides a step-by-step guide and code examples.
Alexey Novakov5 min read
Ververica Academy: Pioneering the Future of Apache Flink® Education
Learn the fundamentals of Apache Flink® and stream processing in this engaging course. Develop high-performance applications and explore Flink SQL.
Ververica3 min read
Batch Processing vs Stream Processing
Batch processing and stream processing are two different models for processing data. This blog post explores their differences, provides use case examples
Ververica10 min read
Stream Enrichment in Flink
Stream enrichment in Apache Flink breathes life into data, transforming it from grayscale to full color. Discover the three ways to access reference data.
Ververica7 min read
All You Need to Know About PyFlink
If you find yourself needing real-time computing solutions and you're comfortable with the Python or want to use some handy Python libraries in the process
Ververica22 min read
Stream Processing Scalability: Challenges and Solutions
Discover the challenges and solutions in developing stream processing systems and how Ververica's Platform and Cloud can simplify the process.
Ververica18 min read