PALO ALTO, Calif., June 12, 2025 — In the rapidly evolving landscape of artificial intelligence, the demand for real-time data has never been more pressing. However, the integration of data from legacy systems often presents significant challenges. Traditional ETL (Extract, Transform, Load) pipelines can introduce latency and complexity, resulting in outdated intelligence that hampers the potential of applications powered by large language models (LLMs) and Retrieval-Augmented Generation (RAG).
Innovative Solutions for Modern Data Challenges
For enterprises leveraging the Postgres stack, the need to connect operational data with real-time AI capabilities is paramount. Open-source Postgres has emerged as a preferred back-end database, providing developers with a robust foundation for operational needs. Building on this, Neon introduces a transformative approach to database creation, utilizing AI agents to streamline processes.
Recently, Databricks unveiled Lakebase, following its acquisition of Neon, marking a significant step towards a fully managed Postgres database tailored for AI applications. In this context, Striim is pleased to announce an expansion of its Postgres offerings, facilitating high-throughput data ingestion from Neon into Databricks for real-time analytics. This enhancement also includes rapid data delivery from legacy systems into Neon, supporting modernization efforts across platforms.
Striim’s unified platform empowers developers to construct vector embeddings directly within the data pipeline, ensuring that real-time data flows seamlessly into both Neon and Databricks. This capability is crucial for building agentic AI use cases, enabling organizations to harness the full potential of their data.
With Striim, organizations can:
- Effortlessly replicate operational data in real-time from traditional systems such as Oracle, PostgreSQL, MySQL, and SQL Server to Neon, all while ensuring zero downtime and automated schema evolution.
- Facilitate real-time ingestion and Change Data Capture (CDC) from Neon into Databricks, guaranteeing that AI models and analytics workloads operate on the most current data.
- Enhance Retrieval-Augmented Generation (RAG) and generative AI applications natively within Neon or Databricks, incorporating inline data enrichment and vector embeddings.
- Stream event data from Apache Kafka into Neon in real-time, eliminating the reliance on fragile batch-based integrations.
- Ensure comprehensive data governance with 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, emphasized the significance of this expansion: “By extending our platform to support Neon and Databricks, we’re equipping Postgres-native teams with the tools to construct real-time, AI-native architectures without the need to overhaul their existing stack. Our mission is to assist customers in transitioning from legacy platforms and ETL processes to real-time, agent-driven intelligence.”
This development builds on Striim’s existing momentum with Databricks, which includes support for Databricks Delta Lake and the launch of SQL2Fabric-X, designed to unlock real-time SQL Server data for both Microsoft Fabric and Azure Databricks. With Neon now integrated into the Striim ecosystem, Postgres users are poised to embrace a new era of modernization, streaming operational data to fuel AI and analytics while maintaining performance and reliability.
For further details on Striim’s support for Neon and Databricks, interested parties can visit www.striim.com/connectors/databricks/ or reach out to the sales team at sales@striim.com.
ABOUT STRIIM, INC.
Striim is at the forefront of real-time intelligence for AI, providing a unified platform that integrates data across clouds, applications, and databases. This fully managed, SaaS-based solution is optimized for modern cloud data warehouses, transforming both relational and unstructured data into actionable AI-ready insights through advanced analytics and machine learning frameworks. Striim’s expertise in real-time data integration, streaming analytics, and database replication enables organizations to process over 100 billion daily events with sub-second latency, facilitating proactive decision-making. For more information, visit www.striim.com.
Media Contact:
Dianna Spring, Vice President of Marketing at Striim
Phone: (650) 241-0680 ext. 354
Email: press@striim.com
