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
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.
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.
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.
AI infrastructure 101: Building the foundation for ML
In this guide, we'll break down what AI infrastructure means, including the core layers you need to support scalable model development, training, and deployment.
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.
