Snowflake, the AI Data Cloud leader, has unveiled a new set of innovations to simplify how organizations ingest, govern, and activate data across its lifecycle. These updates strengthen the Snowflake enterprise lakehouse and create new opportunities for the Snowflake partner ecosystem to deliver advanced data and AI solutions.
At the center of these announcements are major advancements to Snowflake Horizon Catalog and Snowflake Openflow data ingestion, both now generally available. Together, they help enterprises connect data across systems and catalogs while making it securely accessible to AI agents without compromising governance within the Snowflake AI Data Cloud.
A Unified, AI-Ready Data Foundation
The Snowflake enterprise lakehouse now delivers a single, consistent data foundation built for AI. Snowflake Horizon Catalog introduces a universal governance and security layer that works across regions, cloud providers, and data formats.
It supports:
- Native Snowflake data objects
- Open table formats such as Apache Iceberg and Delta Lake
- Relational databases including SQL Server and Postgres
These enhancements enable secure access for external engines while maintaining one governed source of truth. This approach supports AI-ready data governance and reinforces a unified lakehouse architecture that removes data silos and speeds up insights.
The result is a simpler environment where partners can build advanced AI solutions without duplicating or fragmenting enterprise data.
Enhanced Integration and Ingestion with Openflow
Snowflake Openflow enables automated, secure ingestion from virtually any source, ensuring that data remains fresh and centralized across the enterprise lakehouse. Snowflake has also expanded integration options through its partnership with Oracle, enabling near real-time change data capture that continuously streams updates into the Snowflake AI Data Cloud.
For partners, these ingestion and integration capabilities create new opportunities to modernize legacy pipelines, improve data reliability, and deliver optimized data solutions for industry-specific needs.
Interactivity, Speed, and Real-Time Intelligence
Snowflake Openflow data ingestion makes it easier to bring data into the platform from almost any source. It automates ingestion while keeping data fresh and centralized inside the Snowflake AI Data Cloud.
Snowflake has also expanded integration through its partnership with Oracle. This enables near real-time change data capture, allowing updates to stream continuously into the Snowflake AI Data Cloud without manual intervention.
These capabilities unlock Snowflake Openflow real-time data ingestion use cases, such as:
- Modernizing legacy pipelines
- Improving data accuracy
- Supporting industry-specific analytics
Real-Time Performance and Interactive Analytics
To support modern analytics and AI workloads, Snowflake introduced Interactive Tables and Interactive Warehouses. These features deliver low latency and high concurrency for sub-second insights.
Near real-time streaming analytics now allows organizations to act on live operational data within seconds. This makes the Snowflake enterprise lakehouse ideal for both business intelligence and AI-driven decision-making.
These enhancements demonstrate how Snowflake enterprise lakehouse supports AI workloads that demand speed, scale, and reliability.
Snowflake Postgres and Open-Source Innovation
Following the acquisition of Crunchy Data, Snowflake launched Snowflake Postgres a fully managed Postgres service built directly into the Snowflake AI Data Cloud.
Snowflake also open-sourced pg_lake, a set of Postgres extensions that let developers query and write Apache Iceberg tables using standard SQL. This helps teams modernize Postgres environments, simplify migrations, and build lakehouse-ready applications without disrupting existing workflows.
Partner-Led Data Modernization
These innovations create new opportunities for enterprise data modernization with Snowflake, especially for partners delivering AI, analytics, and industry-specific solutions.
As a trusted Snowflake partner, Prolifics brings deep experience in data platforms, governance, and AI-ready architectures. Prolifics helps enterprises maximize the value of the Snowflake enterprise lakehouse by accelerating modernization, streamlining ingestion, and turning innovation into measurable business outcomes.
Media Contact: Chithra Sivaramakrishnan | +1(646) 362-3877 | chithra.sivaramakrishnan@prolifics.com
