Data engineering
ETL vs ELT: which data integration pattern fits your stack
ETL transforms data before it lands, ELT transforms it after. The right choice depends on where your queries run and who maintains the pipeline.
7 min read
Data integration blog: guides on sync, ETL and APIs
Practical writing on data integration from the team building production-grade adapters: ETL vs ELT, webhooks vs polling, data mapping rules, and what point-to-point scripts really cost. No filler, plenty of field names.
Guides
What is iPaaS? Integration platform as a service explained
iPaaS is a hosted platform that moves data between your apps so you do not write and babysit point-to-point scripts. Here is how it works and when it pays off.
6 min read
Guides
API adapter: what it is and how it connects your systems
An API adapter sits between two systems and translates one data shape into another. It is the piece of glue code every team rewrites, and the piece we productized.
6 min read
Data engineering
Data mapping best practices: 9 rules for clean syncs
Most sync failures are mapping failures. Nine rules, from picking a stable match key to versioning every change, that keep records landing where they should.
8 min read
Data engineering
Webhooks vs polling: choosing how your systems talk
Webhooks are fast but drop events; polling is reliable but never instant. Production-grade integrations use both. Here is the decision framework.
6 min read
For decision makers
Point to point integration problems: why script sprawl breaks
Every pair of connected systems adds another script someone has to own. At ten systems you are maintaining dozens of fragile links. The math gets ugly fast.
7 min read