Financial services · Databricks
YipitData Fivetran: Delivering trusted insights using alternative data
Public case study · not a Metric Oak engagement
- SaaS data sources ingested into Databricks via Fivetran
- 10+
- Amazon Redshift clusters eliminated
- 50+
- Company growth since implementing Databricks
- 10x
What happened
The story in brief
The same alternative-data research firm needed to ingest many SaaS data sources reliably as it grew quickly. Combining Fivetran ingestion with Databricks let it scale analytics alongside rapid company growth.
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Data platform engineering
Databricks, Snowflake and Fabric built to production standards. Senior engineers, fixed scope, measured results.
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Related insights
Frequently asked questions
What results did YipitData Fivetran report?
YipitData Fivetran reported 10+ SaaS data sources ingested into Databricks via Fivetran; 50+ Amazon Redshift clusters eliminated; 10x company growth since implementing Databricks, according to its customer story published by Databricks.
Which platform and technologies did YipitData Fivetran use?
YipitData Fivetran used Databricks on AWS, including Fivetran, Airflow.
How do these results compare with other financial services programs?
See our financial services benchmark for median cost reductions and speed-ups across published results in the industry.
Source
Customer story published by Databricks: Delivering trusted insights using alternative data (opens databricks.com in a new tab) on databricks.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.
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