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Data lakes vs. data warehouses: A cost comparison by GigaOm

Blog post from Fivetran

Post Details
Company
Date Published
Author
Charles Wang
Word Count
976
Company Posts That Month
13
Language
English
Hacker News Points
-
Post removed?
No
Summary

The GigaOm report compares the cost of moving data into a data lake using the Fivetran Managed Data Lake Service with the cost of moving data into a traditional data warehouse. The primary finding is that a data lake architecture results in substantial cost savings of 77% to 95%. This is due to modern data lakes offering interoperability, governance capabilities, and reduced vendor lock-in compared to traditional data warehouses. The report also highlights the benefits of adopting a modern data lake, including automated governance, schema migration, table maintenance, and query-ready data. Fivetran's Managed Data Lake Service eases adoption by providing a fully managed service that automates data integration, open table format conversion, and data lake management, while offering unparalleled convenience and peace of mind.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Data Pipeline 4 722 245 77 +43%
Real-time 1 6,887 1,132 212 +49%
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