Free Guide

Foundations of Cloud Data Lake Architecture – Apache Spark vs. Upsolver SQLake

Apache Spark promised a bright future for cloud data lakes. Has it lived up to expectations? Read our guide to find out.

Spark is powerful, to be sure, and its flexible real-time compute engine does support complex transformations.  Yet it’s also the reason many data lake projects fall short, or fail outright:

Download our free paper and learn about:

1) Apache Spark pros and cons

2) Other ETL Tools alternatives

3) The Upsolver SQLake Approach

Get the eBook

Thanks for signing up! Read the eBook here:
Open eBook

This guide is for:

  • Data engineering leaders who want to understand how to solve practical security and privacy challenges on cloud data lakes
  • CIOs who want to ensure their organization is compliant and reduce operational risks
  • CTOs who want to discover cloud architecture best practices
sqlake templates vs spark min

Powering data lakes for data-intensive companies


All Templates

Explore our expert-made templates & start with the right one for you.