Latest news with #Striim
Yahoo
3 days ago
- Business
- Yahoo
Striim Announces Neon Serverless Postgres Support to Broaden Agentic AI Use Cases with Databricks
PALO ALTO, Calif., June 12, 2025 (GLOBE NEWSWIRE) -- 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. "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,' said Alok Pareek, co-founder and Executive Vice President of Engineering and Products at Striim. '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.' This expansion builds on Striim's momentum with Databricks, following the support for Databricks Delta Lake with open Delta table formats, and the launch of SQL2Fabric-X, which unlocks real-time SQL Server data for both Microsoft Fabric and Azure Databricks. With Neon now part of the Striim ecosystem, Postgres users can join this wave of modernization: streaming operational data to fuel AI and analytics without sacrificing performance or reliability. To learn more about Striim's support for Neon and Databricks, visit or contact our team at sales@ ABOUT STRIIM, INC. Striim pioneers real-time intelligence for AI by unifying data across clouds, applications, and databases via a fully managed, SaaS-based platform. Striim's platform, optimized for modern cloud data warehouses, transforms relational and unstructured data into AI-ready insights instantly with advanced analytics and ML frameworks, enabling swift business action. Striim leverages its expertise in real-time data integration, streaming analytics, and database replication, including industry-leading Oracle, PostgreSQL, MongoDB CDC technology, to achieve sub-second latency in processing over 100 billion daily events for ML analytics and proactive decision-making. To learn more, visit Media Contact: Dianna Spring, Vice President of Marketing at StriimPhone: (650) 241-0680 ext. 354Email: press@ Source: Striim, in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
03-06-2025
- Business
- Yahoo
Striim Launches Innovative AI Agents for Near Real-Time Data Governance, Powered by Snowflake Cortex AI
SAN FRANCISCO, June 03, 2025 (GLOBE NEWSWIRE) -- Striim today announced at Snowflake's annual user conference, Snowflake Summit 2025, the launch of Sherlock AI and Sentinel AI – two governance AI agents powered by Snowflake Cortex AI – that help organizations detect, tag, and protect sensitive upstream data in transit, minimizing exposure risks, preventing compliance penalties, and safeguarding corporate reputation through continuous, near real-time monitoring. Enterprises today confront a critical challenge: maintaining control over sensitive information as it flows across diverse data environments without compromising regulatory compliance or operational efficiency. Effective governance begins with visibility. With Sherlock AI and Sentinel AI, Striim delivers the velocity, security, and precision organizations need to protect their data pipelines in near real time. These AI agents work in concert to proactively reduce risk while embedding analytical processes into operational workflows, helping businesses maintain compliance and control over their data assets. "Sophisticated AI and analytics capabilities demand seamless data integration and sharing capabilities, with governance beginning at the point of sensitive data identification," said Alok Pareek, Co-Founder and Executive Vice President of Engineering and Products at Striim. 'The new Sherlock AI identifies blind spots by discovering sensitive data prior to data sharing or movement. Since data doesn't stay in one place, Striim's Sentinel AI agent complements Sherlock by protecting sensitive information in real time as it moves through enterprise data pipelines. This upstream application of AI-driven intelligence not only helps prevent sensitive data leaks but also enables auditing of the detection measures in place, significantly lowering costs and saving time for both organizations and regulators.' Sherlock AI delivers this transparency by pinpointing sensitive information within datasets before they're shared or transferred through data pipelines across on-premise or cloud-based enterprise data repositories, third-party databases, and SaaS environments. This helps organizations assess potential risks upstream and proactively apply appropriate governance measures. Once data is in motion, Sentinel AI continuously analyzes live data streams to detect and protect sensitive information as it moves – automating encryption, masking, and compliance enforcement in real time. Leveraging Cortex AI, the app detects sensitive data anywhere in pipeline events, even if misplaced or mislabeled, going beyond static rule-based controls. This automatically prevents exposure and helps businesses meet enterprise-grade compliance standards, including GDPR, CCPA, and HIPAA data governance requirements without adding complexity. "Organizations prioritizing AI can't be constrained by slow, manual governance processes," said Dwarak Rajagopal, Vice President and Head of AI Engineering at Snowflake. "Striim's Sherlock AI and Sentinel AI, powered by Snowflake Cortex AI, allow businesses to accelerate innovation with confidence while maintaining sensitive data security throughout its lifecycle. By embedding AI insights into data pipelines, Striim can transform data governance into an active, trusted capability.' With Sherlock AI and Sentinel AI, Striim delivers the efficiency, security, and precision organizations need to protect their data pipelines in real time. These AI-powered agents work in concert to proactively reduce risk while embedding analytical processes into operational workflows, helping businesses maintain compliance and control over their data assets. Striim will introduce more AI agents in the second half of 2025 to detect and manage enterprise data for real-time use cases. ABOUT STRIIM, INC. Striim pioneers real-time intelligence for AI by unifying data across clouds, applications, and databases via a fully managed, SaaS-based platform. Striim's platform, optimized for modern cloud data warehouses, transforms relational and unstructured data into AI-ready insights instantly with advanced analytics and ML frameworks, enabling swift business action. Striim leverages its expertise in real-time data integration, streaming analytics, and database replication, including industry-leading Oracle CDC technology, to achieve sub-second latency in processing over 100 billion daily events for ML analytics and proactive decision-making. To learn more, visit Media Contact: Dianna Spring, Vice President of Marketing at StriimPhone: (650) 241-0680 ext. 354Email: press@ Source: Striim, Inc.
