Technology Profile
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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.
Market Share of OwlDQ
- Current Customer The number of companies that currently use OwlDQ
- 9
- Websites Added The number of companies that have started using OwlDQ in the past month.
NA- compared to last month
- Websites Dropped The number of companies that have stopped using OwlDQ in the past month.
NA- compared to last month
Top Competitors and Alternatives of OwlDQ
The top three of OwlDQ’s competitors in the Data Quality category are Segment with 76.99%, Plaid with 15.79%, Collibra Data Quality with 1.93% market share.
Popular Comparisons
Top Competitors and Alternatives of OwlDQ
The top three of OwlDQ’s competitors in the Data Quality category are Segment with 76.99%, Plaid with 15.79%, Collibra Data Quality with 1.93% market share.
Technology Stack Analysis
Compare Tech Stack of OwlDQ and Its Competitors
Get the list of top 5 common technologies used by OwlDQ and its competitors.
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Customers of OwlDQ
Around the world in 2023, over 8 companies have started using OwlDQ as Data Quality tool.
Find which OwlDQ customers are ready to buy from you by using Slintel's buying intent score.
OwlDQ Customers by Industry
The three top industries that use OwlDQ for Data Quality are Agility (1), Application & Cloud Management (1), Application Management (1).
OwlDQ Customers by Employee Count
The majority of OwlDQ’s customers for the data-quality category fall in the company size of 10,000+ employees (4 companies), 1,000 - 4,999 employees (2 companies), 0 - 9 employees (1 companies).
OwlDQ Customers by Geography
The top three geographies of OwlDQ for data-quality are the United States with 6(66.67%), Finland with 1(11.11%), France with 1(11.11%) customers respectively.
Employees of OwlDQ
Download Slintel’s Chrome Extension to get verified contact data of OwlDQ employees.
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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 . Slintel uses advanced data mining and AI algorithms to track customers and 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 (4 companies), 1,000 - 4,999 employees (2 companies), 0 - 9 employees (1 companies). You can view a distribution chart of OwlDQ customers by company size .
What is OwlDQ market share in the data-quality?
OwlDQ has market share of 0.03% in data-quality market. OwlDQ competes with 22 competitor tools in data-quality category. The top alternatives for OwlDQ data-quality tool are Segment with 76.99%, Plaid with 15.79%, Collibra Data Quality with 1.93% market share.
What are the top industries that use OwlDQ?
Top industries that use OwlDQ for data-quality are Agility (1), Application & Cloud Management (1), Application Management (1).
What are the top countries that use OwlDQ?
Around the world in 2023, over 8 companies have started using OwlDQ as data-quality tool. Companies using OwlDQ for data-quality are majorly from United States with 6 customers. 66.67% of OwlDQ customers are from the United States. Other top countries using OwlDQ are Finland and France with 1(11.11%) and 1(11.11%) customers respectively.
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