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 Ryan McCrary
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

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.

Data pipeline monitoring: Tools and best practices
Data pipeline monitoring provides real-time visibility into data flow, helping teams detect issues early and ensure reliability across the data journey. This article explains how.

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.

RudderStack vs Snowplow: A comprehensive feature comparison
We examine key differences between these platforms, focusing on the four critical areas where RudderStack delivers superior value. While they some similarities, RudderStack delivers all of the utility of Snowplow with none of the limitations.

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.

API integration: Tools, benefits, and common challenges
API integrations keep modern stacks connected—syncing systems, automating workflows, and securing data in motion. Done right, they reduce manual work, prevent silos, and help teams build reliable pipelines that scale with the business.

Data control: What it means and how to manage it
Entire companies have been built on the value proposition of data control. But what exactly does it mean to have control over your data?

Understanding customer intent: A guide to event tracking
Customer interactions tell a story, but capturing them is just the beginning. This post provides guidelines for event tracking and how it can help you understand customer intent.

Streaming data integration: Use cases and tools
This guide explores the principles and applications of streaming data integration, including why it matters, how it works, and what it takes to make it reliable at scale.