Best 5 streaming ETL tools for cloud data teams
Cloud data teams are not trying to solve a simple data movement problem, but a continuity problem.
In older data environments, ETL pipelines were designed to move data from one system to another on a schedule. A job started, processed a fixed range of records, wrote the output, and then stopped. If something failed, the team reran the job, validated the output, and moved on. The architecture assumed that data moved in discrete windows and that a few hours of delay was acceptable. That assumption doesn’t hold in modern cloud environments.
The best 5 streaming ETL tools for cloud data teams
1. Artie
Artie stands out as the strongest overall fit for cloud data teams that need continuous, CDC-first data movement without taking on the burden of building and maintaining a streaming stack themselves.
The core advantage of Artie is that it is designed around the reality that production data...
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