Case Study: Jumbotail achieves lossless, fully automated data pipelines (500M+ events/month) with Hevo Data

A Hevo Data Case Study

Preview of the Jumbotail Case Study

How Jumbotail Integrates its eCommerce Applications Data Using Hevo

Jumbotail, a Bangalore-based B2B food and grocery platform, needed a new way to keep Amazon Redshift as its single source of truth after Alooma stopped supporting Redshift following a vendor acquisition. After evaluating options, Jumbotail selected Hevo Data’s no-code data pipeline platform to replace Alooma and continue syncing data from SaaS tools and databases into Redshift.

Hevo Data implemented automated, fault-tolerant pipelines plus transformations, auto-mapping and webhook integrations to replicate data seamlessly into Redshift. The result: Jumbotail processes over 500 million events per month with lossless, 100% accurate aggregation and no data drops, completed migration in roughly two weeks, and eliminated ongoing maintenance overhead.


Open case study document...

Jumbotail

Nikhil Bhatnagar

Software Engineer


Hevo Data

54 Case Studies