# Building an Enterprise Data Warehouse on Heroku: From Complex ETL to Seamless Salesforce Integration

DevFeed: [Building an Enterprise Data Warehouse on Heroku: From Complex ETL to Seamless Salesforce Integration](<https://devfeed.tech/articles/building-an-enterprise-data-warehouse-on-heroku-from-complex-etl-to-seamless-salesforce-integration-26383.md>)

Original publisher: [Read original article](<https://www.heroku.com/blog/building-an-enterprise-data-warehouse-on-heroku/>)

Author: Sudarshan Hiray

Published: 2025-11-05T20:05:38Z

Content type: article

Language: en

Sources: [Heroku](<https://devfeed.tech/sources/heroku.md>)

Topics: [Heroku](<https://devfeed.tech/topics/heroku.md>), [data-architecture](<https://devfeed.tech/topics/data-architecture.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [Monitoring](<https://devfeed.tech/topics/monitoring.md>)

Tags: [analytics](<https://devfeed.tech/tags/analytics.md>), [applications](<https://devfeed.tech/tags/applications.md>), [article](<https://devfeed.tech/tags/article.md>), [building](<https://devfeed.tech/tags/building.md>), [data](<https://devfeed.tech/tags/data.md>), [ecosystems](<https://devfeed.tech/tags/ecosystems.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [etl](<https://devfeed.tech/tags/etl.md>), [heroku](<https://devfeed.tech/tags/heroku.md>), [heroku-postgres](<https://devfeed.tech/tags/heroku-postgres.md>), [integration](<https://devfeed.tech/tags/integration.md>), [platforms](<https://devfeed.tech/tags/platforms.md>), [salesforce](<https://devfeed.tech/tags/salesforce.md>), [services](<https://devfeed.tech/tags/services.md>), [systems](<https://devfeed.tech/tags/systems.md>), [tools](<https://devfeed.tech/tags/tools.md>), [warehouse](<https://devfeed.tech/tags/warehouse.md>)

## AI overview

Heroku describes an enterprise data warehouse architecture that unifies Salesforce and data from multiple application databases for real-time analytics. The approach uses Heroku Connect, Heroku Postgres follower databases, and a unified analytics platform to address API limits, ETL complexity, production database load, and fragmented monitoring.

## Source excerpt

Modern businesses don't just run on Salesforce--they run on entire ecosystems of applications. At Heroku, we operate dozens of services alongside our Salesforce instance such as billing systems, user management platforms, analytics engines, and support tools. Traditional approaches to unifying this data create more problems than they solve. In this article, we'll see how we [...] The post Building an Enterprise Data Warehouse on Heroku: From Complex ETL to Seamless Salesforce Integration appeared first on Heroku.