Oracle Enterprise Data Quality provides a comprehensive data quality management environment, used to understand, improve, protect and govern data quality.
The top three of Oracle Enterprise Data Quality’s competitors in the Data Quality category are Segment with 83.11%, Plaid with 11.47%, Collibra Data Quality with 1.74% market share.
The top three of Oracle Enterprise Data Quality’s competitors in the Data Quality category are Segment with 83.11%, Plaid with 11.47%, Collibra Data Quality with 1.74% market share.
Compare Tech Stack of Oracle Enterprise Data Quality and Its Competitors
Get the list of top 5 common technologies used by Oracle Enterprise Data Quality and its competitors.
Around the world in 2022, over 182 companies have started using Oracle Enterprise Data Quality as Data Quality tool.
Find which Oracle Enterprise Data Quality customers are ready to buy from you by using Slintel's buying intent score.
The three top industries that use Oracle Enterprise Data Quality for Data Quality are Big Data (9), Cloud (9), Financial Services (9).
The majority of Oracle Enterprise Data Quality’s customers for the data-quality category fall in the company size of 10,000+ employees (80 companies), 1,000 - 4,999 employees (29 companies), 20 - 49 employees (19 companies).
The top three geographies of Oracle Enterprise Data Quality for data-quality are the United States with 114(59.69%), India with 12(6.28%), South Africa with 12(6.28%) customers respectively.
Download Slintel’s Chrome Extension to get verified contact data of Oracle Enterprise Data Quality employees.
Find answers to the most often asked questions by users.
Oracle Enterprise Data Quality’s Top competitors in the data-quality category are Segment, Plaid, Collibra Data Quality. You can view a full list of Oracle Enterprise Data Quality competitors Oracle Enterprise Data Quality vs Segment Oracle Enterprise Data Quality vs Plaid Oracle Enterprise Data Quality vs Collibra Data Quality .
. Slintel uses advanced data mining and AI algorithms to track customers and of Oracle Enterprise Data Quality and 40,000 other technologies on the internet.You can also compare Oracle Enterprise Data Quality and its feature with top competitors here :The majority of Oracle Enterprise Data Quality’s customers for the data-quality category fall in the company size of 10,000+ employees (80 companies), 1,000 - 4,999 employees (29 companies), 20 - 49 employees (19 companies). You can view a distribution chart of Oracle Enterprise Data Quality customers by company size
.Oracle Enterprise Data Quality has market share of 0.54% in data-quality market. Oracle Enterprise Data Quality competes with 18 competitor tools in data-quality category. The top alternatives for Oracle Enterprise Data Quality data-quality tool are Segment with 83.11%, Plaid with 11.47%, Collibra Data Quality with 1.74% market share.
Top industries that use Oracle Enterprise Data Quality for data-quality are Big Data (9), Cloud (9), Financial Services (9).
Around the world in 2022, over 182 companies have started using Oracle Enterprise Data Quality as data-quality tool. Companies using Oracle Enterprise Data Quality for data-quality are majorly from United States with 114 customers. 59.69% of Oracle Enterprise Data Quality customers are from the United States. Other top countries using Oracle Enterprise Data Quality are India and South Africa with 12(6.28%) and 12(6.28%) customers respectively.
Close deals faster by understanding your clients well. Know their technology stack, contract renewal date, top decision-makers, hiring trends, and top company news in one place.