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.
The top three of OwlDQ’s competitors in the Data Quality category are Segment with 82.04%Plaid with 11.67%Microsoft Data Quality Services with 1.83% market share.
The top three of OwlDQ’s competitors in the Data Quality category are Segment with 82.04%Plaid with 11.67%Microsoft Data Quality Services with 1.83% market share.
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Around the world in 2022, over 14 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.
The three top industries that use OwlDQ for Data Quality are Agility (1)Alexa/Google Home Integration (1)Alternative Assets (1).
The majority of OwlDQ’s customers for the data-quality category fall in the company size of 10,000+ employees (5 companies)20 - 49 employees (3 companies)0 - 9 employees (2 companies).
The top three geographies of OwlDQ for data-quality are the United States with 14(87.50%)India with 2(12.50%) customers respectively.
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OwlDQ’s Top competitors in the data-quality category are SegmentPlaidMicrosoft Data Quality Services. 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 Microsoft Data Quality Services .
The majority of OwlDQ’s customers for the data-quality category fall in the company size of 10,000+ employees (5 companies)20 - 49 employees (3 companies)0 - 9 employees (2 companies). You can view a distribution chart of OwlDQ customers by company size .
OwlDQ has market share of 0.14% in data-quality market. OwlDQ competes with 15 competitor tools in data-quality category. The top alternatives for OwlDQ data-quality tool are Segment with 82.04%Plaid with 11.67%Microsoft Data Quality Services with 1.83%market share.
Top industries that use OwlDQ for data-quality are Agility (1)Alexa/Google Home Integration (1)Alternative Assets (1).
Around the world in 2022, over 14 companies have started using OwlDQ as data-quality tool. Companies using OwlDQ for data-quality are majorly from United States with 14 customers. 87.50% of OwlDQ customers are from the United States. Other top countries using OwlDQ are India with 2(12.50%) customers respectively.
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