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DataBuck

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DataBuck is a data quality platform that uses AI to automatically detect data anomalies and ensure accuracy in large data sets for better business dec...Read more

Data Quality
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Market Share of DataBuck

Current Customer(s)

5

Market Share (Est.)

0.00%

Ranking

#29

Top Competitors and Alternatives of DataBuck

The top three of DataBuck’s competitors in the Data Quality category are Plaid with 76.57%, Segment with 20.26%, Collibra Data Quality with 1.12% market share.

TechnologyDomainsMarket Share (Est.)Versus page
Plaid12629476.57%DataBuck vs Plaid
Segment3341620.26%DataBuck vs Segment
Collibra Data Quality18551.12%DataBuck vs Collibra Data Quality
Talend Open Studio for Data Quality9980.61%DataBuck vs Talend Open Studio for Data Quality
ETQ Reliance3280.20%DataBuck vs ETQ Reliance
Precisely2370.14%DataBuck vs Precisely
Precisely Data Integrity2360.14%DataBuck vs Precisely Data Integrity
Oracle Enterprise Data Quality1830.11%DataBuck vs Oracle Enterprise Data Quality
Cloudingo1750.11%DataBuck vs Cloudingo
DubBot1570.10%DataBuck vs DubBot
GlobalVision1330.08%DataBuck vs GlobalVision
Anomalo1330.08%DataBuck vs Anomalo
Data.com Contacts1160.07%DataBuck vs Data.com Contacts
Verint Automated Quality Management1020.06%DataBuck vs Verint Automated Quality Management
Bigeye1020.06%DataBuck vs Bigeye
IBM InfoSphere QualityStage1000.06%DataBuck vs IBM InfoSphere QualityStage
Microsoft Data Quality Services930.06%DataBuck vs Microsoft Data Quality Services
OwlDQ510.03%DataBuck vs OwlDQ
4medica460.03%DataBuck vs 4medica
4medica460.03%DataBuck vs 4medica
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Popular Comparisons

Top Competitors and Alternatives of DataBuck

The top three of DataBuck’s competitors in the Data Quality category are Plaid with 76.57%, Segment with 20.26%, Collibra Data Quality with 1.12% market share.

DataBuck vs Plaid

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DataBuck vs Segment

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DataBuck vs Collibra Data Quality

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DataBuck vs Talend Open Studio for Data Quality

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DataBuck vs ETQ Reliance

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DataBuck vs Precisely

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DataBuck vs Precisely Data Integrity

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DataBuck vs Oracle Enterprise Data Quality

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Customers of DataBuck

Around the world in 2026, over 5 companies have started using DataBuck as Data Quality tool.

CustomersEmployee RangeCityRegionCountrySocial Links
Absa10,000+JohannesburgGautengSouth Africa
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Verizon10,000+New York CityNew YorkUnited States
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Cisco10,000+San JoseCaliforniaUnited States
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Ideas To Impacts250 - 499PuneMaharashtraIndia
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FirstEigen100 - 249NapervilleIllinoisUnited States
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DataBuck Customers by Products and Services

The top three products and services offering customers that use DataBuck for Data Quality are Insurance (2), Big Data Reconciliation (1), Internet Services (1).

Customers

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DataBuck Customers by Employee Size

The majority of DataBuck's customers for the data-quality category fall in the company size of 10,000+ employees (3 companies), 100 - 249 employees (1 companies), 250 - 499 employees (1 companies).

Employee Size

DataBuck Customers by Geography

The top three geographies of DataBuck for data-quality are the United States with 3(60.00%), India with 1(20.00%), South Africa with 1(20.00%) customers respectively.

Customers

Employees of DataBuck

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Data Quality

FAQ

Find answers to the most often asked questions by users.

Who are the top DataBuck competitors?

DataBuck’s Top competitors in the data-quality category are Plaid, Segment, Collibra Data Quality. You can view a full list of DataBuck competitors here. 6sense uses advanced data mining and AI algorithms to track customers and competitors of DataBuck and 40,000 other technologies on the internet. You can also compare DataBuck and its feature with top competitors here : DataBuck vs Plaid DataBuck vs Segment DataBuck vs Collibra Data Quality.

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What is DataBuck customer distribution based on company size?

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What is DataBuck market share in the data-quality?

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What are the top countries that use DataBuck?

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What are the top industries that use DataBuck?

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