OwlDQ

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OwlDQ is a Data Quality software which uses machine learning to detect anomalies in data, to generate data quality rules automatically and to reconcile replication errors.

Top Competitors and Alternatives of OwlDQ

The top three of OwlDQ’s competitors in the Data Quality category are Segment with 78.76%, Plaid with 15.27%, Collibra Data Quality with 2.48% market share.

    Top Competitors and Alternatives of OwlDQ

    The top three of OwlDQ’s competitors in the Data Quality category are Segment with 78.76%, Plaid with 15.27%, Collibra Data Quality with 2.48% market share.

    Customers of OwlDQ

    Around the world in 2023, over 11 companies have started using OwlDQ as Data Quality tool.

    Customers Employee Range City Region Country Social Links
    AFLAC Incorporated 10,000+ Columbus Georgia United States
    Mindtree 10,000+ Bengaluru Karnataka India
    EPAM Systems, Inc. 10,000+ Newtown Pennsylvania United States
    Collibra 500 - 999 New York City New York United States
    Eleks 1,000 - 4,999 Lviv Lviv Ukraine
    Regeneron Pharmaceuticals, Inc. 5,000 - 9,999 Tarrytown New York United States
    Global Lending Services 500 - 999 Greenville South Carolina United States
    JP Morgan Chase & Co. 10,000+ New York City New York United States
    Softcom Systems 100 - 249 Princeton New Jersey United States
    SoftHQ 100 - 249 San Diego California United States

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    OwlDQ Customers by Industry

    The three top industries that use OwlDQ for Data Quality are Big Data & Analytics (2), Fintech (2), Mobility (2).

    OwlDQ Customers by Employee Size

    The majority of OwlDQ’s customers for the data-quality category fall in the company size of 10,000+ employees (5 companies), 100 - 249 employees (2 companies), 500 - 999 employees (2 companies).

    OwlDQ Customers by Geography

    The top three geographies of OwlDQ for data-quality are the United States with 9(75.00%), Finland with 1(8.33%), India with 1(8.33%) customers respectively.

    Employees of OwlDQ

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    FAQ

    Find answers to the most often asked questions by users.

    Who are the top OwlDQ competitors?

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

    What is OwlDQ customer distribution based on company size?

    The majority of OwlDQ’s customers for the data-quality category fall in the company size of 10,000+ employees (5 companies), 100 - 249 employees (2 companies), 500 - 999 employees (2 companies). You can view a distribution chart of OwlDQ customers by company size here.

    What is OwlDQ market share in the data-quality?

    OwlDQ has market share of 0.02% in data-quality market. OwlDQ competes with 25 competitor tools in data-quality category. The top alternatives for OwlDQ data-quality tool are Segment with 78.76%, Plaid with 15.27%, Collibra Data Quality with 2.48% market share.

    What are the top industries that use OwlDQ?

    Top industries that use OwlDQ for data-quality are Big Data & Analytics (2), Fintech (2), Mobility (2).

    What are the top countries that use OwlDQ?

    Around the world in 2023, over 11 companies have started using OwlDQ as data-quality tool. Companies using OwlDQ for data-quality are majorly from United States with 9 customers. 75.00% of OwlDQ customers are from the United States. Other top countries using OwlDQ are Finland and India with 1(8.33%) and 1(8.33%) customers respectively.

    Justine Lyon
    Justine Lyon
    Senior VP of Sales, Ally
    At my previous organization we used Zoominfo and LInkedIn Navigator for contact, Bombora for intent and DiscoverOrg for account info. When I joined Ally where we use 6sense, I found it to be as valuable as all the other tools combined!
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