Applications in the AI era depend on real-time data, but data ingestion and integration from legacy architectures often hold them back. Traditional ETL pipelines introduce latency, complexity, and stale intelligence, limiting the effectiveness of LLM-driven applications and Retrieval-Augmented Generation (RAG). For enterprises building on the Postgres stack, bridging that gap between operational data and real-time AI is critical.
Open-source Postgres is widely deployed as the back-end database by developers to address operational requirements. Neon builds on this foundation with a new paradigm for the creation of databases by AI agents. Most recently, Databricks announced Lakebase, based on its acquisition of Neon—a fully managed Postgres database that is a popular choice to build AI Applications on.
Now, Striim is excited to announce that it is expanding its Postgres offerings with high-throughput ingestion from Neon into Databricks for real-time analytics, as well as high-speed data delivery from legacy systems into Neon for platform and data modernization. Striim’s unified platform further allows vector embeddings to be built within the data pipeline while delivering real-time data into Neon and into Databricks for building Agentic AI use cases.
Using Striim, developers can seamlessly migrate, integrate, or replicate transactional and event data along with in-flight vector embeddings, enriched context, and cleansed high-quality data from multiple operational stores into Neon. This modern integration allows modern agentic applications to be rapidly built with Neon as the transactional backend.
With this added capability, organizations can:
Seamlessly replicate operational data in real-time from traditional systems like Oracle, PostgreSQL, MySQL, SQL Server, and hundreds of other sources to Neon, with zero downtime and automated schema evolution.
Enable real-time ingestion and Change Data Capture (CDC) from Neon into Databricks, ensuring AI models and analytics workloads always operate on fresh data.
Fuel Retrieval-Augmented Generation (RAG) and generative AI use cases natively within Neon or Databricks with inline data enrichment and vector embeddings.
Stream event data from Apache Kafka into Neon in real time, eliminating the need for brittle batch-based integrations.
Maintain end-to-end data governance with in-flight AI-driven PII detection and resolution, encryption, and support for customer-managed keys.
Alok Pareek, co-founder and Executive Vice President of Engineering and Products at Striim
By extending our platform to support Neon and Databricks, we’re giving Postgres-native teams the tools to build real-time, AI-native architectures without rethinking their stack. Our mission is to help customers modernize from legacy platforms and legacy ETL to real-time agent-incorporated intelligence—and Striim’s Vector Agent and Neon CDC and delivery capabilities bring us one step closer to that future.
