What is Streamhouse?
Get the best of both worlds: access the power and cost-effectiveness of your traditional Data Lakehouse at the speed of real-time streaming. With Streamhouse, you can fill the gap between traditional streaming and batch architectures, getting stream processing capabilities while maintaining (near) real-time results on the Data Lake.
Streamhouse
Traditional Data Lakes are cost efficient but slow, and real-time data is fast but expensive. Streamhouse merges the best of both, allowing you to leverage the benefits of the Lakehouse and real-time streaming in one solution.
Apache Flink: Unified Compute
Solve both batch and stream processing use cases with Flink's unified API.
Flink CDC: Unified Ingestion
Handle data changes smoothly, with seamless change data capture capabilities.
Apache Paimon: Unified Lakehouse Storage
Use the data storage framework built for managing data lakes and your streaming and batch workloads.
Nearly unlimited storage inside your compute engine means you can run massive queries of data without having to compromise cost efficiency.
Features and Benefits
Streaming Becomes Cheaper
Expensive operations can leverage cheap storage, reducing total costs.
Minimized Learning Curve
Streamhouse makes streaming data operations easier.
Data Stays Fresh
Query your data from your streaming storage layer.
Data Quality Improves
Fix corrupted data and errors quickly using time travel and rollback.
Lakehouse Goes Real Time
Get data fast with continuously updated tables.
Storage Costs Reduced
Only keep single copies of the data you need.
Democratize Streaming
Unlock Business Intelligence with streaming data decisions and operations.
AI/ML
Fresh, relevant data = better adaptive learning and continuous model training with improved accuracy.
Learn More about Streamhouse
Latest news
The Streamhouse Evolution
A Glimpse Into the House of Streams In addition to being the heart of Ververica’s Streaming Data... by Giannis PolyzosStreamhouse: Data Processing Patterns
Introduction In October, at Flink Forward 2023, Streamhouse was officially introduced by Jing Ge,... by Giannis PolyzosApache Paimon 0.6 Released
Introduction As the original creators of Apache Flink®, Ververica is proud to support technologies... by Giannis PolyzosReal-Time Insights for Airlines with Complex Event Processing
Introduction Businesses are embracing real-time data processing to better handle their... by Giannis PolyzosHighlights from Flink Forward Berlin 2024
Flink Forward Berlin 2024 is a wrap, and Ververica is proud to have hosted the 10-year anniversary... by Karin LandersEmbracing the Future with Apache Flink® 2.0
The Apache Flink® community has just unveiled the preview release of Apache Flink 2.0, marking a... by Ben GambleFluss Is Now Open Source
Earlier this year at Flink Forward 2024 Berlin we announced Fluss and today we are thrilled to... by Giannis Polyzos and Jark WuAnnouncing Ververica Platform: Self-Managed 2.14
Today, the Ververica team introduces the latest advancements in our Unified Streaming Data Platform... by Karin Landers and Dawn LeamonReal-Time Insights for Airlines with Complex Event Processing
Introduction Businesses are embracing real-time data processing to better handle their... by Giannis PolyzosHighlights from Flink Forward Berlin 2024
Flink Forward Berlin 2024 is a wrap, and Ververica is proud to have hosted the 10-year anniversary... by Karin LandersEmbracing the Future with Apache Flink® 2.0
The Apache Flink® community has just unveiled the preview release of Apache Flink 2.0, marking a... by Ben GambleIntroducing Fluss: Unified Streaming Storage For Next-Generation Data Analytics
We are excited to introduce Fluss, a groundbreaking project designed to tackle longstanding... by Giannis Polyzos and Jark WuFluss Is Now Open Source
Earlier this year at Flink Forward 2024 Berlin we announced Fluss and today we are thrilled to... by Giannis Polyzos and Jark WuAnnouncing Ververica Platform: Self-Managed 2.14
Today, the Ververica team introduces the latest advancements in our Unified Streaming Data Platform... by Karin Landers and Dawn LeamonReal-Time Insights for Airlines with Complex Event Processing
Introduction Businesses are embracing real-time data processing to better handle their... by Giannis PolyzosBrands you know trust Ververica
Let’s Talk
Ververica's Unified Streaming Data Platform helps organizations to create more value from their data, faster than ever. Generally, our customers are up and running in days and immediately start to see positive impact.
Once you submit this form, we will get in touch with you and arrange a follow-up call to demonstrate how our Platform can solve your particular use case.