How to sync Firestore data to Snowflake for data analytics
Until recently, connecting Google Cloud Firestore to Snowflake hasn’t been easy. Here’s why (and how) to integrate this powerful pair.
Flow
Why TypeScript for real-time data transformation?
Using TypeScript for transformations allows us to prevent many of the common types of pipeline failures that might otherwise slip through the cracks.
How to create a real-time materialized view in PostgreSQL
In this article, we’ll discuss an example workflow that uses Estuary Flow to create a real-time materialized view in Postgres.
Everything you actually need to know to use Estuary Flow
There are only a few core concepts you need to know to start using Estuary Flow. We explain them with illustrations.
Announcing Estuary’s partnership with Rockset
As we expand our beta program, Estuary is thrilled to announce our partnership with Rockset.
The complete change data capture guide for MySQL
A comprehensive guide to change data capture in MySQL for cross-functional data teams.
The complete change capture guide for PostgreSQL
A comprehensive guide to change data capture in PostgreSQL for cross-functional data teams.
Try it yourself: Continuous materialized views in PostgreSQL
Estuary Flow lets you synchronize data across all the systems you care about, with millisecond latency. What does that actually look like in practice? Here’s a simple — but powerful — example.
The power and implications of data materialization
The simple concept of materialization can tell us a lot about how (and why) data is stored and represented. In this post: logs and tables; data loading and queries; exports, and more.
Real-time MapReduce: Why MapReduce is making a comeback
What if we could adapt MapReduce to real-time data processing? Spoiler: it’s awesome and we’re building a next-gen data platform based on it!