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All Rudderstack Release Notes
- Dec 8, 2025
- Parsed from source:Dec 8, 2025
- Detected by Releasebot:Dec 10, 2025
Snowflake Streaming Destination: General Availability
Snowflake Streaming destination is generally available, delivering real‑time data to Snowflake in seconds via continuous micro‑batches. Enterprise feature with a free trial through June 8, 2026, plus a seamless migration path from batch and real‑time analytics for AI/ML use cases.
The Snowflake Streaming destination is now generally available, delivering real-time data to Snowflake in seconds.
Available Plans
- Enterprise
2 minute read
Date: Dec 8, 2025
The Snowflake Streaming destination is now Generally Available. This integration delivers event data to Snowflake in seconds via continuous micro-batches using Snowflake’s Snowpipe Streaming API, enabling real-time analytics, alerting, A/B testing, and fresher data for personalization and AI/ML use cases.
Key benefits
- Real-time data availability: Events appear in Snowflake within seconds, not hours, enabling immediate insights and activation
- Cost-efficient streaming: Uses Snowpipe Streaming API instead of warehouse compute, maintaining the same or lower cost compared to batch integration while dramatically reducing latency
- Full platform integration: Leverage all of RudderStack’s native capabilities including Transformations, Tracking Plans, and other Data Governance capabilities
- Enterprise-grade reliability: Built on RudderStack’s proven event streaming infrastructure with monitoring and alerting
Seamless migration
Existing Snowflake batch destination users can migrate seamlessly using the Assisted Migration feature. This guided workflow wizard creates and configures your new Snowflake Streaming destination, manages the pipeline transition, and minimizes duplicate records during migration.
To start the migration, go to your existing Snowflake batch destination in the RudderStack dashboard and look for the Migrate to Snowflake Streaming banner.
See the Snowflake Streaming Migration Guide for more information.
Pricing and packaging
Snowflake Streaming is an Enterprise feature, but we’re offering a free trial to all paying RudderStack customers through June 8, 2026. After the trial period, Snowflake Streaming will be available as an add-on for non-Enterprise customers.
Get started
To set up the Snowflake Streaming destination:
- Add a source in your RudderStack dashboard.
- Select Snowflake Streaming from the list of destinations.
- Configure your connection settings and credentials.
- Connect your sources and start streaming.
See the Snowflake Streaming documentation for detailed setup instructions and configuration options.
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Original source Report a problem - Dec 5, 2025
- Parsed from source:Dec 5, 2025
- Detected by Releasebot:Dec 8, 2025
1.64.1
- Dec 3, 2025
- Parsed from source:Dec 3, 2025
- Detected by Releasebot:Dec 4, 2025
1.64.0
Rudder Server introduces a new source hydration stage with failure reporting, updates jobsdb schema and management, and adds Salesforce bulk upload alongside several stability and performance fixes. It also refines error handling, memory tuning, and partitioning behavior for robustness.
Features
- add a new processor stage for source hydration (#6481) (56dc15e)
- add reporting for failed hydration events (#6521) (eda76fb)
- jobsdb: introduce partition_id column (#6502) (f73a8e3)
- jobsdb: read excluded partition management (#6520) (26b2661)
- onboard salesforce bulk upload (#6527) (b80a512)
Bug Fixes
- error handling in getReports for error detail reporting (#6517) (5824bac)
- jobsdb: system panics with error column jobs.partition_id does not exist (#6523) (95f7cb9)
- keydb connection pool (#6506) (112166e)
- rsources stats deadlock with two syncs from the same source and second one dropping jobs (#6511) (d467c1a)
- worker job buffer increased memory requirements causing excessive cpu for garbage collection (#6500) (148442e)
Miscellaneous
- capture parameter labels in jobsdb update job status stats (#6495) (0b868c1)
- cleanup internal batch validator and enrichment flags (#6530) (6b065a0)
- cleanup lingering temporary export files upon suppression backup service startup (#6493) (6c0493e)
- jobsdb: disabling partitioning by default (#6543) (3df0403)
- read partition id from message properties and propagate it to router jobs (#6518) (bb57fa5)
- update build-scan-push-action version to 1.8.2 (#6508) (700ff80)
- update rudder-go-kit and refactor signal context handling (#6501) (488ba89)
- watch and update memory limits periodically (#6519) (791c8ca)
- Dec 1, 2025
- Parsed from source:Dec 1, 2025
- Detected by Releasebot:Dec 1, 2025
Cloud Extract End of Support Announcement
RudderStack ends support for Cloud Extract ETL with end-of-support on December 1, 2025 and pipeline shutdown on January 10, 2026. Growth and Enterprise customers retain access until then, with transition planning via your Customer Success Manager.
End of Cloud Extract Support
After careful consideration and a strategic evaluation of our product portfolio, RudderStack is ending support for Cloud Extract (our ETL offering).
Here’s what you need to know:
- End-of-support date: December 1, 2025. Starting from this date, RudderStack will no longer provide support or respond to support tickets for ETL pipelines.
- Pipeline shutdown date: January 10, 2026. All ETL pipelines will be turned off on this date. Users will no longer be able to activate or toggle on their pipelines.
- Access until shutdown: Current RudderStack Growth and Enterprise customers will retain access to Cloud Extract pipelines until January 10, 2026.
For account-specific details or assistance with transition planning, contact your Customer Success Manager for the specifics
Why RudderStack is sunsetting Cloud Extract
RudderStack’s core competencies include event collection (Event Stream), unification (Profiles), and activation (Reverse ETL). By focusing on these areas, we are better positioned to continue to innovate and provide the best possible solutions for your data needs.
Reach out to us for any queries.
Original source Report a problem - Nov 20, 2025
- Parsed from source:Nov 20, 2025
- Detected by Releasebot:Nov 21, 2025
1.63.2
- Nov 20, 2025
- Parsed from source:Nov 20, 2025
- Detected by Releasebot:Nov 21, 2025
1.63.3
Bug Fixes
- rsources stats deadlock with two syncs from the same source and second one dropping jobs (#6511) (5e54c2b)
- Nov 17, 2025
- Parsed from source:Nov 17, 2025
- Detected by Releasebot:Nov 17, 2025
1.63.1
Bug Fixes
- worker job buffer increased memory requirements causing excessive cpu for garbage collection (#6500) (26843ca)
- Nov 11, 2025
- Parsed from source:Nov 11, 2025
- Detected by Releasebot:Nov 12, 2025
1.63.0
Rudder Server ships a streaming upgrade with dynamic worker buffer sizing and smarter router behavior. It also patches defaults and stability with fixes for max procs, aborting pending jobs on disabled destinations, and improved metrics and security hardening.
Features
Bug Fixes
- max procs defaults (#6473) (48f9cfd)
- max procs defaults (#6473) (3d2026c)
- pending batch router jobs for disabled destinations are not being aborted (#6477) (8effa78)
- remove source labels in repo query stats (#6483) (48f9cfd)
- use type field from payload to check if event is blocked (#6487) (5ba053f)
Miscellaneous
- apply security best practices from step security (#6462) (a860128)
- emit filtered metrics from all non-ut stages and clean up diff metrics (#6485) (399c4c6)
- refactor processor to move archival in a preprocess stage (#6470) (8634c3f)
- remove oauth status toggling (#6492) (45e5dba)
- sync release v1.62.0 to main branch (#6472) (65db4ee)
- Nov 5, 2025
- Parsed from source:Nov 5, 2025
- Detected by Releasebot:Nov 6, 2025
1.62.2
- Oct 28, 2025
- Parsed from source:Oct 28, 2025
- Detected by Releasebot:Oct 28, 2025
Snowflake Streaming Assisted Migration Feature Beta
RudderStack launches assisted migration to Snowflake Streaming, letting you move batch pipelines to real-time with automated destination setup and guided verification. The feature pauses the batch flow during migration, supports rollback, and provides dedup guidance to reduce duplicates.
Snowflake Streaming Assisted Migration Feature
Beta
Migrating from RudderStack’s traditional Snowflake batch destination to the new Snowflake Streaming destination unlocks real-time data ingestion using Snowflake’s Snowpipe Streaming API. However, manually managing this migration — including creating new destinations, reconnecting sources, and coordinating the cutover — can be complex and risky.
With the assisted migration feature, you can now migrate your existing Snowflake pipelines with a guided workflow that handles all the heavy lifting for you. This feature automatically creates and configures your new Snowflake Streaming destination, manages the transition between pipelines, and minimizes duplicate records during the migration process.
Available Plans
- Free
- Starter
- Growth
- Enterprise
2 minute read
Date: Oct 28, 2025
Migrating from RudderStack’s traditional Snowflake batch destination to the new Snowflake Streaming destination unlocks real-time data ingestion using Snowflake’s Snowpipe Streaming API. However, manually managing this migration — including creating new destinations, reconnecting sources, and coordinating the cutover — can be complex and risky.
With the assisted migration feature, you can now migrate your existing Snowflake pipelines with a guided workflow that handles all the heavy lifting for you. This feature automatically creates and configures your new Snowflake Streaming destination, manages the transition between pipelines, and minimizes duplicate records during the migration process.
Key capabilities
- Automated destination setup: RudderStack creates a new Snowflake Streaming destination using your existing batch destination credentials and configuration, preserving your schema and table mappings.
- Guided verification: A step-by-step workflow prompts you to verify that events flow correctly through the new Snowflake Streaming pipeline before completing the migration.
- Automatic pipeline coordination: The Snowflake batch destination is automatically paused during migration to minimize duplicate records while both pipelines are active.
- Final sync trigger: You can trigger a final sync from the batch destination to ensure any events collected during the pause are loaded to your warehouse.
- Rollback capability: If any errors occur during setup, you can roll back to your previous state without any data loss.
- Deduplication guidance: Receive migration timestamps and documentation to help you deduplicate any records that may have been ingested during the transition.
Why migrate to Snowflake Streaming?
The Snowflake Streaming destination delivers event data to Snowflake in seconds via continuous micro-batches, enabling real-time analytics, alerting, A/B testing, and fresher data for personalization and AI/ML use cases. Because it uses the Snowpipe Streaming API instead of warehouse compute, it maintains the same or lower cost compared to the batch integration while dramatically reducing latency.
Get started
- Go to your existing Snowflake batch destination in the RudderStack dashboard.
- Look for the Migrate to Snowflake Streaming banner.
- Click Proceed to initiate the assisted migration process.
Follow the guided steps to verify your new Snowflake Streaming destination and complete the migration. If needed, reference the provided timestamps to deduplicate records in your target tables.
See the Snowflake Streaming Migration Guide for more information on manual migration options and deduplication queries.
Screenshots
Proceed button in migration banner
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