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
The Complete Customer Data Stack: Data Collection (Part 1)
Check out part one of our two-part series on data collection. You'll learn how to collect event data and why categories are important when it comes to data collection.
The Complete Customer Data Stack: Data Collection (Part 2)
In this post, we cover how to collect relational data from both cloud applications and databases, and we explore two other lesser but still important sources of data.
Why Twilio Acquired Segment
In this post, we examine Twilio's strategic acquisition of Segment and explore how the Segment customer data platform fits into Twilio's vision to create an end-to-end marketing cloud.
Kafka Vs. PostgreSQL: How We Implemented Our Queueing System Using PostgreSQL
Apache Kafka wasn’t the right solution for RudderStack’s core streaming/queueing engine. Instead, we built our own streaming engine on top of PostgreSQL. Here, we discuss the internals of our implementation using the queueing system in more detail.
Warehouse-First, the More Secure, Flexible, and Cost-Effective Application Architecture
Learn how eliminating black-box applications and building a warehouse-first data infrastructure can give you more data control, more flexibility with no duplicated data, and lower costs.
Build or Buy? Lessons From Ten Years Building Customer Data Pipelines
This article summarizes what RudderStack CEO Soumyadeb Mitra learned in both building and buying customer data pipelines over the last ten years. Dive in to know more
Building Reliable Customer Data Infrastructure
A typical example of a Data-Intensive Application. RudderStack briefly tells CDI and its core & the infrastructure for seizing, processing, and routing events.
Activate Your Data Streams Using RudderStack: A Use-Case with AWS Lambda and Amazon Kinesis
RudderStack approaches the routing data using Amazon Kinesis and AWS Lambda Functions. So that one can easily activate the Data Streams by using Rudderstack.
Why Single-platform Analytics Tools Don’t Scale Well
This post answers the following Quora question: "What are the benefits of a data warehouse for a web startup over third-party analytics tools like Google Analytics and Mixpanel?"
