Heroku Connect is a powerful tool for integrating Salesforce data with custom Heroku apps. Discover how an ETL can help make Heroku Connect even better.

The faster you can ETL data from MongoDB, the better it is for your business processes and business intelligence systems. Here's how to simplify the MongoDB ETL process.

Integrate.io can be used to offload ETL from Redshift, saving resources and allowing Redshift to do what it does best: real-time querying.

Integrate.io's wide variety of sources provides rich data for Chartio, making them a perfect pair. In part one of a two-part series, learn how to configure Integrate.io for use with...

Introduction Snowflake has become the default analytical warehouse for modern data teams because it separates storage from compute, scales reliably, and supports high concurrency analytics workloads. At the same time,...

Table of Contents Apache Spark vs. Amazon Redshift: What Are They? Apache Spark vs. Amazon Redshift: Data Architecture Apache Spark vs Amazon Redshift: Data Engineering Conclusion: Apache Spark vs. Amazon...

Learn the difference between data ingestion and ETL, including their distinct use cases and priorities, in this comprehensive article.

Using Parquet format when writing to a data lake can greatly reduce latency and hardware usage. Here's how to do it.

Does it feel like your data stack is missing something? Add ETL technology to easily take data from OLTP databases to OLAP data warehouses to improve your business intelligence.