Case Study: SalesLoft achieves consolidated analytics on sharded Postgres in AWS Redshift with Fivetran

A Fivetran Case Study

Preview of the Salesloft Case Study

SalesLoft - Customer Case Study

Salesloft, a leading sales engagement platform, needed to combine sharded tables from its Citus Data Postgres cluster into AWS Redshift to perform advanced analytics. To avoid building custom replication infrastructure, Salesloft turned to Fivetran and used the Fivetran Postgres connector to replicate each database in the cluster into Redshift.

Fivetran replicated each shard into its own schema, automatically detected and synced new schemas/tables, and enabled Salesloft to recombine shards at query time via UNION-based VIEWs in Redshift. The result was centralized, high-performance analytics without bespoke ETL—reducing engineering overhead, speeding time-to-insight, and simplifying automation with a short Python script and scheduled jobs; Fivetran handled the heavy lifting.


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Salesloft

Mike Sandt

Engineer


Fivetran

192 Case Studies