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

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 modeling techniques for modern data warehouses
Data modeling is the foundation of any high-performing data warehouse. This article breaks down modeling types and how to take a layered modeling approach so you can deliver clean, well-structured data to your warehouse.

Build vs. buy data pipeline: How to decide
In this article, we'll break down the key components of modern data pipelines, weigh the trade-offs between building and buying, and walk through scenarios to help you make the right choice.

Data pipeline architecture: A guide to better design
This guide walks through the core concepts behind modern data pipeline architecture: what it is, why it matters, how it’s evolved, and the key design patterns and principles used by high-performing data teams.

Snowflake data types: A comprehensive reference guide
In this guide, we’ll explore the range of data types Snowflake supports, highlight when and why each is used, and provide practical guidance for building well-structured, efficient tables in your warehouse.

What is a data pipeline? Best practices and use cases
Data pipelines ingest, transform, and deliver data from disparate sources to downstream destinations. Discover everything you need to know here. Data pipelines are essential components of the modern data stack.

Dimensional data modeling: What it is and how to apply it
This post offers a practical look at what dimensional modeling is, how it helps organize data for performance and usability, and why it's still foundational for teams working with modern data stacks.

What data scalability is and how to plan for it
Building a scalable data infrastructure allows your organization to respond to market shifts, support more users, and deliver real-time insights with consistency and speed. This article explains how.

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?






