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DQE One Unify vs Infosys Data Workbench

DQE One Unify

dqe.tech

Infosys Data Workbench

infosys.com

Side by side

FigureDQE One UnifyInfosys Data Workbench
Price from——
Free plan——
Free trialYes—
Open source——
WebYesYes
WindowsYesYes
Linux—Yes
APIYes—
Self-hostedYes—
Plans published10
Spec score · Data Cleansing Software7.9 (#10)7.2 (#22)
DeploymentThe engine can run on company platforms or AWS, Azure, GCP, and Heroku; a SaaS option hosts curative processing in DQE’s cloud.The brochure describes a web-based interface, cloud-ready deployment, and automated installation scripts for multiple platforms.
ProcessingDuplicate supports batch processing, and Unify also supports real-time processing.Its AI-powered core supports large-scale data quality operations, and its Apache Spark core supports high-speed analysis at scale.
PurposeUnify identifies, merges, and prevents duplicate contacts and accounts across customer databases.Infosys Data Workbench (iDW) is a scalable data quality solution with lightweight analytical master data management capabilities.
SecurityDQE says it is ISO 27001-certified and processes data in certified datacenters that have undergone security audits.The brochure lists LDAP authentication, single sign-on, and role-based authorization as enabled security capabilities.

Plans

DQE One Unify

  • Unify SaaSPrice not published

DQE One Unify pricing →

Infosys Data Workbench

No plans published.

Infosys Data Workbench pricing →

In their own words

DQE One Unify

DQE One Unify identifies, merges, and helps prevent duplicate contacts and accounts across customer databases. Duplicate handles existing records in bulk, while Look-Up checks for an existing contact before a new record is created. Processing can be batch or real time, and the engine can run on company platforms or AWS, Azure, GCP, and Heroku. A SaaS option hosts curative processing in DQE’s cloud. For deployments in a customer’s environment, DQE says information is processed there and does not leave the customer’s IT system. The Data Stewardship interface is available in Salesforce through AppExchange, and API access is supported. A free 30-day trial is available, with limits of 200,000 database records, the first 20 duplicate groups in visualization, and the first 20 records for standardization. DQE describes the product for technical, sales, and marketing departments, including projects involving tens of millions of records. Pricing is on request.

Visit dqe.tech

Infosys Data Workbench

Infosys Data Workbench (iDW) combines large-scale data quality operations with lightweight analytical master data management. Its AI-powered core supports data-quality processing, while an Apache Spark core supports high-speed analysis at scale. Users can profile data with machine-learning models, review interactive reports, and validate complex business rules. Cleansing and standardization tools include machine-learning-based enrichment, outlier detection, clustering, and filtering. Master-data functions cover de-duplication, linking, grouping, golden-record generation, and identity resolution.

The product works with JDBC-compliant databases and files, including fixed-width, delimited, and Excel formats. Deployment options include standalone or cluster execution, a web interface, and cloud-ready installation; the listed environments include Windows, Linux/Unix, Azure, and AWS. Jobs can run once or recur, with results in dashboards or downloadable PDF and Excel reports. Infosys lists LDAP authentication, single sign-on, and role-based authorization. Pricing is on request, and Infosys directs interested organizations to its request-for-services form.

Visit infosys.com