Complete Your Streamhouse™ with Apache Fluss™
Experience the industry's first unified streaming data platform with columnar, queryable storage. Transform ingestion, processing, and querying into one cohesive system.
Infrastructure Challenge
Traditional streaming platforms process data quickly but lack queryable storage. Adding databases and caches solves one problem while creating others: more infrastructure to manage, more data to move, and more delays between event and insight.
Common Challenges
Infrastructure
Separate tools for ingestion, processing, caching, and querying multiply operational costs and complexity.
Data movement
Shuttling data between systems introduces latency, reduces freshness, and increases costs.
Insights
External databases and batch processes prevent you from querying data as it arrives.
How It Works
Data flows into Ververica Platform and moves through three integrated stages. Apache Flink processes streaming data with exactly-once guarantees and sub-second latency. Apache Fluss stores results in columnar format while maintaining a unified log and cached table representation. You query data immediately using standard SQL, with sub-second response times on continuous updates.
The architecture removes the need for external databases, caches, and data movement pipelines. Processing and storage happen in one platform, keeping data fresh and queryable without adding infrastructure.
Why Teams Choose Ververica Platform
Unified Streaming Infrastructure
Consolidate ingestion, processing, and storage into one platform. Ververica eliminates separate databases and caches, reducing operational overhead by 40%. Your team builds streaming applications instead of managing tool chains.
Immediate Queryability
Query streaming data with sub-second latency. Apache Fluss reflects every incoming change instantly, enabling dashboards and analytics that update as events happen. No batch delays, no stale caches, no waiting.
Simplified Architecture
Replace five separate systems with one unified platform. Ververica handles everything from data ingestion through Apache Flink processing to queryable storage with Apache Fluss. Fewer tools mean lower costs, simpler operations, and faster development.
Platform Capabilities
- Treats streams as tables with unified log and cached representation
- Columnar storage optimized for analytical workloads with efficient access patterns
- Native support for modern formats including Lance and LanceDB
- Seamless tiering between hot data and lakehouse storage
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Join engineering teams building unified streaming infrastructure with Ververica Platform.