How Data Warehouse Automation Differs from ETL vs ELT Tools

How Data Warehouse Automation Differs from ETL and ELT Tools

While ETL and ELT solutions can be helpful to data warehousing teams for some data movement scenarios, data automation software provides teams with much broader, far-reaching capabilities and benefits across the entire data warehousing lifecycle.

ELT Tools and Data Warehouse Automation

Review this comparison guide titled Modern Data Warehousing – How Data Warehouse Automation Differs from ETL and ELT Tools to learn:

the origins of ETL and ELT tools
what data warehouse automation is and what it provides data warehousing teams
the key differences between data warehouse automation and ETL/ELT solutions
the 7 scenarios where data warehouse automation provides value beyond ETL/ELT solutions
three key reasons to choose data warehouse automation over ETL/ELT approaches

You’ll also receive a comparison chart that visually shows the starting and stopping points for a variety of tools throughout the data warehousing lifecycle, and see how automation software can unite the entire data warehousing process.

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“It took the architects a day and a half to solve all four use cases. They built two Data Vaults on the host application data, linked the two applications together and documented the whole process. This was impressive by any standard. After that it was an easy process to get all the documents signed.”

Daniel Seymore, Head of BI, Investec South Africa

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"At seven months into the project we can say it really worked out. We have been able to really quickly develop an initial MVP for our first country and that was really good. The automation and the changes we needed to do were rapidly applied. We had to remodel a few things and that was done within a day with the automation in WhereScape."

Carsten Griefnow, Senior BI Manager

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"It’s like having five people with only really two people working on it."

Will Mealing, Head of Data & Analytics at L&G

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