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
From Kappa Architecture to Streamhouse: Making the Lakehouse Real-Time
The demand for real-time insights has transformed how businesses approach data architectures. Over... October 1, 2024 by Giannis PolyzosThe Streamhouse Evolution
A Glimpse Into the House of Streams In addition to being the heart of Ververica’s Streaming Data... October 1, 2024 by Giannis PolyzosStreamhouse: Data Processing Patterns
Introduction In October, at Flink Forward 2023, Streamhouse was officially introduced by Jing Ge,... October 1, 2024 by Giannis PolyzosReal-Time Insights for Airlines with Complex Event Processing
Introduction Businesses are embracing real-time data processing to better handle their... October 1, 2024 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... October 1, 2024 by Karin LandersEmbracing the Future with Apache Flink® 2.0
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As the cloud and business landscape grows more complex and interconnected, businesses are... October 1, 2024 by Igor KersicHighlights from Flink Forward Berlin 2024
Flink Forward Berlin 2024 is a wrap, and Ververica is proud to have hosted the 10-year anniversary... October 1, 2024 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... October 1, 2024 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... October 1, 2024 by Giannis Polyzos and Jark WuZero Trust Security with Ververica's Bring Your Own Cloud Deployment: Part One
In the first blog of this series, we introduced Ververica’s Bring Your Own Cloud Deployment option,... October 1, 2024 by Igor KersicDriving Efficiency: Using Real-Time Data to Optimize the Electric Vehicle Industry
As electric vehicles (EVs) grow in popularity, the demand for reliable and efficient charging... October 1, 2024 by Karin LandersYour Cloud, Your Rules: Ververica's Bring Your Own Cloud Deployment
As the cloud and business landscape grows more complex and interconnected, businesses are... October 1, 2024 by Igor KersicBrands you know trust Ververica
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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.