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
ChatGPT Atlas: An AI browser that changes how users navigate the web
A hands-on look at ChatGPT Atlas shows how AI browsers don’t just search the web—they use it for you. Here’s what that means for user intent, first-party data, attribution, and SEO.
FiveTran and dbt Labs merger: A new giant in the modern data stack
The Fivetran and dbt Labs merger combines ingestion, transformation, and activation into one stack. It reshapes the modern data landscape and signals a move toward unified, AI-native infrastructure for data-forward teams.
AI will push data infrastructure toward Infrastructure as Code
AI will transform DataOps—but only if data infrastructure becomes fully declarative. This post explores how config-based systems unlock autonomous AI agents for setup, debugging, and management.
SDK vs. API: Key differences and when to use each
With APIs now powering most internet traffic, this post breaks down SDK vs. API—what each does, when to use them, and how modern systems combine both. Learn how to choose based on control, speed, environment fit, and scalability.
Data models explained: Types, use cases, and examples
Discover how data models bring order to complexity by defining clear structures, types, and relationships—enabling reliable data, consistent reporting, and smarter decisions.
How Magic Eden captured 95% of the Solana NFT market with RudderStack
Magic Eden needed full control over how user data was captured, managed, and routed, all while ensuring compliance with the unique privacy requirements of Web3 ecosystems. RudderStack offered the flexibility they needed to build on their own terms.
Make your data predictive: The Machine Learning phase
Discover how to advance to the Machine Learning phase of your data maturity journey, where customer data powers predictive models for churn, LTV, personalization, and more.
Data warehousing is not a strategy: How to maximize ROI from your warehouse investment
How to go beyond fulfilling the requirement of having a data warehouse and reach a place where your team, and the entire company, is utilizing data from the warehouse to create maximum business value.
Data maturity Phase 2: Centralizing your customer data
Many companies collect customer data, but it stays locked in silos. Learn why centralizing your data is the next critical step to unlock insights, build trust, and drive real business impact.
