Discover every

Understand every

Document every

Data Asset

Data dictionary. Data catalog. Business Glossary. Unlock your full data potential.

about

40%

Results of a recent study of over 23,000 data professionals found that data scientists spend about 40% of their time gathering and cleaning data

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Datalogz can cut the data discovery and understanding process from days to seconds

25%

Ninety percent of business leaders cite data literacy as key to company success, but only 25% of workers feel confident working with data at a company

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Datalogz gives user the confidence needed to increase adoption and usage to drive actionable insights

73%

Up to 73% of Company Data Goes Unused for Analytics

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Datalogz unlocks this data to make it discoverable and usable

$22m

For an organization of 1,000 workers that are dependent on data, the inability to find and understand the right data at the right time costs that organization $22m a year

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Datalogz collects and manages metadata to eliminate this time lost

analysis

Is Datalogz right for you?

Where do you primarily have data stored?

1 / 3

project

Time Increasing ++

Project progress

Time Saving

Time goes to 10 min

Project success

Finally unlock your data’s full potential

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how it works

Meet the most robust metadata pipeline available on the market

Explore Product

Easily integrate with almost any data tech stack:

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experts

Leading tech companies rely on tools like Datalogz

Data without context is often meaningless and can lead to ill-informed and costly decisions.

Chris C Williams

Airbnb

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If data discovery is time-consuming, it significantly increases the time it takes to produce insights, which means either it might take longer to make a decision informed by those insights, or worse, we won’t have enough data and insights to inform a decision.

Andrew Maher

Spotify

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Discovering data sources, getting their complete lineage (i.e., how those data sources are produced and consumed), consuming them irrespective of their formats, locations and tools, and managing their entire lifecycles consistently has become a real problem.

Sriram Krishnan

Twitter

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At this scale and pace of growth, a robust system for discovering all datasets and their relevant metadata is not just nice to have: it is absolutely integral to making data useful at Uber.

Luyao Li

Uber

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Run your data team like the big tech companies, instantly and without the cost

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faq

Frequently Asked Questions

Why does my team need a data catalog?
What makes Datalogz better than other data catalogs?
How can Datalogz help as my team migrates to the cloud?
How can Datalogz help as my company grows?

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