Blog
More about Estuary and related technologies, straight from the team.
Our blog breaks down basic concepts and takes you into the minds of our engineers. We also dig into the business principles that guide our company and allow us to build great solutions for yours.
Jeffrey Richman · March 6, 2026
Data Pipelines Explained: What They Are and How They Work
Olivia Iannone · February 28, 2025
The problem with credit-based pricing for data platforms
Olivia Iannone · March 5, 2026
How to create a real-time materialized view in PostgreSQL
Olivia Iannone · March 6, 2026
Everything you actually need to know to use Estuary
Olivia Iannone · March 5, 2026
Four software engineering best practices to improve your data pipelines
Olivia Iannone · March 28, 2023
How to prevent your data warehouse from becoming a data swamp
Olivia Iannone · February 28, 2025
Why ELT won’t Fix Your Data Problems
David Yaffe · March 5, 2026
Announcing Estuary's partnership with Rockset
Olivia Iannone · March 5, 2026
DataOps for business: A comprehensive introduction
Olivia Iannone · March 3, 2025
Why you don’t actually need a reverse ETL platform
Olivia Iannone · February 28, 2025
Data for all: Why data democratization matters at every scale
Olivia Iannone · March 5, 2026
Understanding the modern data stack, and why open-source matters
Olivia Iannone · March 5, 2026
MySQL Change Data Capture (CDC): Complete Guide
Jeffrey Richman · January 30, 2026
Complete Guide to PostgreSQL Change Data Capture (CDC): Best Methods
Olivia Iannone · March 5, 2026
3 reasons to rethink your approach to change data capture
Jeffrey Richman · February 20, 2026
Change Data Capture (CDC): How It Works, CDC Methods and Delivery Semantics
Olivia Iannone · March 5, 2026
How new pipeline tools are changing data engineering in the 2020s
Olivia Iannone · March 5, 2026
Try it yourself: Continuous materialized views in PostgreSQL
Olivia Iannone · March 5, 2026
This article won’t tell you how to build a data mesh
Olivia Iannone · March 5, 2026
The power and implications of data materialization
Olivia Iannone · March 5, 2026
Connector stories: Snowflake and BigQuery
David Yaffe, Johnny Graettinger · March 5, 2026
The Estuary story and guiding principles
Olivia Iannone · March 5, 2026
Database vs data warehouse vs data lake: Key differences and usage
Olivia Iannone · March 5, 2026
Three data scaling pitfalls and how to avoid them
Olivia Iannone · March 5, 2026
Connector stories: Apache Kakfa
Olivia Iannone · February 1, 2024
Introducing Estuary’s open-source connector repository
Olivia Iannone · March 5, 2026
The costs of data integration explained, and how to minimize them
Olivia Iannone · March 5, 2026
Re-evaluating Kafka: Issues and Alternatives For Real-time
Olivia Iannone · March 5, 2026
5 Example Use-Cases For Real-time Data Processing
Jeffrey Richman · March 5, 2026