Case Study: Findigs achieves faster, more cost-effective Postgres-to-Snowflake replication with PeerDB

Findigs replaced Fivetran with PeerDB to break growth shackles

Findigs, a property technology company, was using Fivetran to replicate data from its RDS Postgres database to Snowflake but faced significant challenges. They were unable to sync their largest tables, which contained over a billion rows, because Fivetran's pricing model based on rows moved would have increased their costs fivefold. This created gaps in their data analysis, hindering their customers' ability to get a complete view of their business. Furthermore, they lacked control over replication speed and latency to meet their specific performance requirements.

Findigs replaced Fivetran with PeerDB to overcome these obstacles. PeerDB's predictable pricing, based on provisioned compute rather than data volume, eliminated the risk of exorbitant costs. The vendor's service provided fine-tuned control over performance, allowing Findigs to sync a billion-row table in a day instead of weeks and achieve replication latency of just a few minutes. This solution gave Findigs' customers a full, accurate, and timely view of their business data without the prohibitive expense.

Findigs

Jason Jho

Chief Technology Officer