Rudderstack blog
News from RudderStack and insights for data teams

Feature launch: Snowflake Streaming integration
Feature launch: Snowflake Streaming integration
With our Snowflake Streaming integration, you can get customer event data from every source into Snowflake faster (and save on your Snowflake bill!). Read the launch blog to learn more.
Unified data platform: How it works & why you need one
by Brooks Patterson
Understanding event data: The foundation of your customer journey
by Danika Rockett
Event streaming: What it is, how it works, and why you should use it
by Brooks Patterson

Big data tools: A guide for scalable data operations
In this guide, we’ll break down the core categories of big data tools, explain how they work together to support scalable data operations, and outline key features to consider when evaluating solutions.

Salesforce data enrichment: Best tools for 2025
Without proper enrichment, Salesforce customer records can become stale, incomplete, and increasingly disconnected from reality. Learn about the best tools for real-time syncing, identity resolution, and deep integration with modern data stacks.

Delivering real-time customer intelligence: RudderStack + Snowflake
As digital experiences become faster and more personalized, real-time engagement has shifted from a differentiator to a baseline expectation. Learn how RudderStack and Snowflake can deliver real-time customer intelligence.

Snowflake Summit 2025 recap: Launches, live demos, and real-time data
As a proud Snowflake partner, the RudderStack team was excited to be part of the 2025 Summit. This post provides a recap of the activities our team was part of at the event.

Data automation: Tools & tactics for automated data processing
With the right automation tools, you can eliminate hours of tedious work while dramatically improving data accuracy and availability. This article explores how data automation works and how it can transform your approach to data management.

Data integration challenges: Key issues and practical solutions
This article outlines the most common challenges teams face when integrating data across modern environments—and offers practical solutions to help you streamline processes, reduce complexity, and build a more resilient data foundation.

So you've started using Snowflake to store and unify your customer data ... now what?
Having a powerful data cloud is just the beginning. To truly derive value from your customer data, you need a comprehensive ecosystem that handles everything from reliable data ingestion to actionable insights and operational activation.

Feature launch: Snowflake Streaming integration
With our Snowflake Streaming integration, you can get customer event data from every source into Snowflake faster (and save on your Snowflake bill!). Read the launch blog to learn more.

Automated data integration: Tools, tactics & architecture tips
In this post, we’ll explain how automation in modern data integration streamlines ingestion, transformation, and delivery workflows, especially in complex cloud environments.







