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
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Dogfooding at RudderStack: Our Data Stack
Here is a quick guide to how we leverage our Event Stream and ETL pipelines to ingest data from our apps, websites, and cloud tools right here at RudderLabs.
JavaScript SDK from 200ms to 20ms
This post discusses how RudderStack worked with our customer Loveholidays to develop a high-performance JavaScript SDK that reduced execution time from 200-300ms down to 20-60ms.
The Data Stack Journey: Lessons from Architecting Stacks at Heroku and Mattermost
Learn how to build a data stack that will scale with you as your business grows and your data function matures. We cover company stages and detail the core components of the data stack with recommendations on which tooling to use at which stage.
Why Data and Engineering Teams Need to Own the CDP
Why Data and Engineering should own CDP implementation & management. Here, we'll cover all of the benefits to Engineering led CDP implementation and management.
The Complete Customer Data Stack
In this article, we break down the ideal architecture for “the complete customer data stack” from the perspective of the data engineer. Learn all about it here.
Reinventing the On-Prem Deployment Model
Regardless of the SaaS software delivery model's success, there are still challenges with the adoption of SaaS, especially in the enterprise market where security and compliance are of great importance.
Data Engineering: Perception vs. Reality
Many organizations don't exactly understand what data engineering is or what a data engineer does. This post highlights a few myths related to data engineering and talks more about their contribution to the business teams.
Why RudderStack Used Postgres Over Apache Kafka for Streaming Engine
In this post, we answer the all-important question – “Why we did not prefer Apache Kafka over PostgreSQL for building RudderStack.” We discuss some of the challenges with using Apache Kafka over our implemented solution that uses PostgreSQL.
The Data Engineering Megatrend: A Brief History
Earlier this year, Tomasz Tunguz gave a presentation on five trends in data and the "megatrend" that is powering them all. This post discusses the history of that data engineering megatrend over the past 20 years.
