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SPECIFICTION
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DQE One Unify vs MatchCore

DQE One Unify

dqe.tech

MatchCore

matchlogic.io

Side by side

FigureDQE One UnifyMatchCore
Price from—$417/mo
Free plan——
Free trialYesYes
Open source——
WebYesYes
WindowsYesYes
macOS—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published13
Spec score · Data Deduplication Software7.9 (#13)8.2 (#6)
DeploymentThe engine can run on company platforms or AWS, Azure, GCP, and Heroku; a SaaS option hosts curative processing in DQE’s cloud.MatchCore offers desktop, server, and REST API deployment; its desktop option runs locally and keeps data on the user's machine.
Founded20082003
HeadquartersLevallois-Perret, FranceDover, Delaware, United States
PurposeUnify identifies, merges, and prevents duplicate contacts and accounts across customer databases.MatchCore profiles, standardizes, matches, and merges customer, vendor, and product records to create a deduplicated golden record.
SupportDQE describes technical server supervision as 24/7 and functional support as available on working days from 8 a.m. to 6 p.m.The maker says every customer gets a dedicated account manager and product specialist, plus free training sessions.
TrialDQE One offers a free 30-day trial; Salesforce users can install it from AppExchange, while other infrastructure users are asked to contact DQE.The maker advertises a 14-day trial with all features and no credit card requirement.

Plans

DQE One Unify

  • Unify SaaSPrice not published

DQE One Unify pricing →

MatchCore

  • MatchCore Standard Edition$417 a month
  • MatchCore Enterprise Edition$1,667 a month
  • MatchCore Real-time Engine$3,333 a month

MatchCore 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

MatchCore

MatchCore profiles, standardizes, matches, and merges customer, vendor, and product records to create deduplicated golden records. Its profiler examines completeness, null rates, distinct values, entropy, anomalies, and semantic field types. A visual cleansing pipeline supports case conversion, punctuation removal, parsing, regex replacements, and phone or ID number cleansing. The platform says it includes more than 300,000 standardization rules for names, addresses, and phone data. Matching options include exact, phonetic, fuzzy, edit-distance, token-based, and ML-enhanced algorithms, with configurable field weights and confidence thresholds. Survivorship rules can prioritize values by field, source, completeness, or recency. Import options include SQL Server, Oracle, Teradata, MySQL, Salesforce, CSV, Excel, tab-delimited files, JSON, and ODBC. Its Orchestrator schedules daily, weekly, or monthly runs and can react to source updates. Deployment options include desktop, server, and REST API; desktop runs locally and keeps data on the user’s machine. Plans start at $417 a month, billed annually at $5,000 per user license. A 14-day trial is offered without a credit card requirement.

Visit matchlogic.io