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Ververica Unified Streaming Data Platform 3.0 (Coming Soon)

This release introduces a new foundation for real-time data and AI that simplifies how organizations connect, process, and act on data as it happens.

Built on the proven power of Apache Flink®, Ververica Unified Streaming Data Platform 3.0 extends the platform beyond stream processing into a complete data platform. It combines Flink CDC for ingestion, VERA for compute, and open table formats such as Apache Paimon™, Apache Iceberg™, and Apache Fluss™ for storage.

By unifying batch and streaming under one API and SQL model, developers no longer have to choose between two modes of data processing; instead, everything runs seamlessly as part of a single pipeline.

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To learn more or discuss deployment and pricing options, contact our Support Team at support@ververica.com.

The Highlights​

Unified Architecture​

This unified design replaces multiple disconnected tools, reduces complexity, improves consistency, and accelerates time to insight.

  • Single SQL / API model — Use one unified interface for both streaming and batch processing. No more choosing between modes; all workloads run seamlessly in the same platform.
  • Unified operations — Reduce tool sprawl and integration overhead by consolidating ingestion, pipelines, storage, and governance into a single system.
  • Flexible deployment — Run on-premises, in your own cloud, or in Ververica’s fully managed service with feature consistency across environments.

Streamhouse Integration​

At the core of the platform is the Streamhouse technology that combines the speed of real-time streaming with the reliability of lakehouse storage.

  • Continuous ingestion with Flink CDC provides streaming changes directly from databases and applications.
  • Unified storage through open table formats like Apache Paimon and Apache Iceberg unify historical and streaming data.
  • Streaming-native storage with Apache Fluss™ provides ultra low-latency and real-time AI workloads.

Together, these components form a continuous data foundation that eliminates silos and enables always-fresh analytics.

AI Readiness​

Ververica Unified Streaming Data Platform 3.0 enables real-time AI and advanced analytics by making live data directly accessible for inference and AI that acts in the moment.

  • Retrieval-Augmented Generation (RAG) supports AI assistants and applications that rely on current, context-aware data.
  • Seamless integration with VERA-X powers high-throughput, low-latency AI workloads with next-generation Flink engines.
  • Flink Agents Framework (preview) for building agentic AI systems capable of continuous reasoning, planning, and acting in response to live events.

Capabilities at a Glance​

The table below summarizes the core capabilities introduced in version 3.0 and how they enhance developer productivity and operational consistency across environments.

CategoryCapability / FeatureDescription
Resource ManagementDynamic scaling and schedulingReliably supports large, stateful applications in cloud-native environments.
Data ProcessingUnified batch and streamingProcesses both batch and streaming workloads using a single API and SQL model.
Data StorageStreamhouse and open table formatsCombines historical and streaming data with Apache Paimon™, Iceberg™, and Fluss™.
AI and AnalyticsReal-time AI and RAG supportEnables AI and advanced analytics to operate on live streaming data.
Developer SimplicitySingle API / SQL modelProvides a consistent interface for developers, eliminating the need to choose between batch or streaming.
Governance & CollaborationYAML CDC configurationsDefines change data capture jobs in human-readable, reusable formats for better collaboration.
Data Enrichment & TransformationMaterialized tablesKeeps key data in memory for joins, aggregations, temporal queries, dashboards, and alerts.

For More Information

You can learn more about Ververica Unified Streaming Data Platform 3.0 highlights by checking out these blogs:

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