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

What is a cloud data platform? Top 5 vendors and how to choose
In this post, we’ll explain what a cloud data platform is, why it matters for modern businesses, and how it differs from traditional systems. You'll also learn about leading vendors, features to look for, and how to choose the right platform.

Top 10 data warehouse tools for modern teams
In this post, we’ll walk through the top 10 data warehouse tools available today, highlight their key features, and help you evaluate which solution best fits your organization’s needs.

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.

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.

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.

Data centralization: Key concepts, benefits & how to implement
In this article, we’ll explore what data centralization entails, highlight its key benefits—from improved access to stronger governance—and walk through practical steps for building a centralized data strategy.

Data lake tools: Top 8 vendors & how to evaluate them
This article explores eight leading data lake solutions, highlighting their key strengths and how to evaluate them based on integration, scalability, governance, cost, and alignment with your data needs.

Managing concerns about event volume
Managing event volume efficiently isn't just about cost control; it's about maintaining data quality, ensuring system performance, and creating predictable operations as your data needs grow. Learn how in this blog post.

Real-time reality check: Why milliseconds matter in customer data infrastructure
If your customer data takes more than five seconds to reach your operational systems, you're not just dealing with a technical inefficiency. You're actively losing revenue with every delayed interaction. Learn how real-time data is a game-changer.





