Snowflake’s new Openflow service accelerates interoperability between data systems and simplifies ingestion of structured and unstructured data.
Snowflake has announced a new data integration service during the Snowflake Summit 2025: Openflow. This multi-modal data ingestion solution, based on Apache NiFi, aims to simplify the process of loading data from various sources and making it available for AI applications within the Snowflake platform. The acquisition of Datavolo at the end of last year paved the way for the launch of Openflow.
Moving Data
Snowflake Openflow is now generally available on AWS and offers hundreds of ready-to-use connectors and processors for data integration with systems such as Box, Oracle, Google Ads, Microsoft Dataverse, Salesforce, Workday, and Zendesk. The service supports both batch and streaming data, and enables moving data from cloud and on-premises sources to Snowflake or other destinations, such as object storage and messaging platforms.
Snowflake positions Openflow as a response to the fragmentation of data systems and the increasing complexity of AI projects. With Openflow, data engineers can retrieve, transform, and load data without complex infrastructure or custom code. The Bring Your Own Cloud approach allows companies to run the service in their existing cloud environment.
Integration with Existing Workflows
In addition to launching Openflow, Snowflake also announced several expansions for data engineers. Users will soon be able to develop and manage dbt Projects directly in Snowflake. This will be done within a new file-based development environment called Snowflake Workspaces, which also includes AI-assisted code assistance and Git integration.
Snowflake is also expanding support for Apache Iceberg tables. Users can now process semi-structured data with optimizations for file size and partitions, without relinquishing control of data security and governance.
Another innovation is Snowpipe Streaming, now in public preview. This technology enables processing up to 10 GB of data per second with a latency of just a few seconds. This makes real-time data analysis possible for applications such as anomaly detection or AI-driven decision-making.
Breaking down Silos
For Openflow, Snowflake is collaborating with technology partners such as Box, Microsoft, Oracle, and Salesforce to ensure interoperability. This allows companies to classify sensitive data, analyze customer interactions, or deploy automation across different data streams.
With Snowflake Openflow, the company aims to end data silos and technical obstacles in data migration. By simplifying integration and data ingestion, Snowflake takes another step towards its AI Data Cloud.