Data Warehouse Comparison Matrix

Data Warehousing Tool Comparison Chart | WhereScape

Data warehousing teams traditionally have used a wide variety of data warehousing tools as they work through the stages of the data warehousing lifecycle to deliver warehousing projects. With every stage, a new software or data warehousing tool was required. Data warehouse automation software provides teams with much broader, far-reaching capabilities and benefits and unites the entire data warehousing lifecycle within one solution.

Use this comparison chart to quickly see the starting and stopping points for a variety of tools throughout the data warehousing lifecycle, and how data warehouse automation software can unite the entire data warehousing process.

Interested in more specifically understanding how data warehouse automation differs from ETL/ELT tools? Take a look at our comparison guide titled Modern Data Warehousing: How Data Warehouse Automation differs from ETL and ELT Tools.

 

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Deploy on Microsoft Azure and integrate with Microsoft applications.

Seamlessly work with Amazon Web Services (AWS).

Leverage a complete range of Google infrastructure and data solutions.

Ingest data from multiple sources and deliver more business insights.

DataBricks

Deliver a wider variety of real-time data for Al, ML and data science.

“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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