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Ververica
StreamNative and Ververica have partnered since 2021, when Ververica became the first "Powered By Ververica" partner for StreamNative Cloud. Together, they deliver a complete real-time data processing stack — StreamNative provides the streaming transport layer with managed Kafka and Pulsar, while Ververica provides fully managed Apache Flink powered by the VERA engine.
Joint BYOC Offering
In October 2024, StreamNative and Ververica launched a joint BYOC (Bring Your Own Cloud) offering, enabling customers to run both managed Flink and managed streaming in their own cloud accounts. This means sensitive data never leaves the customer's VPC, while both platforms are fully managed by their respective teams.
End-to-End Streaming Pipelines
The integration enables teams to:
- Ingest data through StreamNative's managed Kafka and Pulsar
- Process with Flink SQL or the DataStream API on Ververica Platform
- Deliver results to downstream systems — all with exactly-once processing guarantees
Ververica's VERA engine optimizes Flink job performance with advanced scheduling, state management, and autoscaling capabilities, while StreamNative's Ursa Engine provides cost-effective, high-throughput message storage.
Use Cases
Joint customers use the StreamNative + Ververica stack for real-time ETL, complex event processing, streaming analytics, and machine learning feature engineering — replacing batch-oriented data pipelines with sub-second latency processing.
StreamNative and Ververica have partnered since 2021, when Ververica became the first "Powered By Ververica" partner for StreamNative Cloud. Together, they deliver a complete real-time data processing stack — StreamNative provides the streaming transport layer with managed Kafka and Pulsar, while Ververica provides fully managed Apache Flink powered by the VERA engine.
Joint BYOC Offering
In October 2024, StreamNative and Ververica launched a joint BYOC (Bring Your Own Cloud) offering, enabling customers to run both managed Flink and managed streaming in their own cloud accounts. This means sensitive data never leaves the customer's VPC, while both platforms are fully managed by their respective teams.
End-to-End Streaming Pipelines
The integration enables teams to:
- Ingest data through StreamNative's managed Kafka and Pulsar
- Process with Flink SQL or the DataStream API on Ververica Platform
- Deliver results to downstream systems — all with exactly-once processing guarantees
Ververica's VERA engine optimizes Flink job performance with advanced scheduling, state management, and autoscaling capabilities, while StreamNative's Ursa Engine provides cost-effective, high-throughput message storage.
Use Cases
Joint customers use the StreamNative + Ververica stack for real-time ETL, complex event processing, streaming analytics, and machine learning feature engineering — replacing batch-oriented data pipelines with sub-second latency processing.
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