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SPECIFICTION
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CleanSmart vs DataMatch Enterprise

CleanSmart

cleansmartlabs.com

DataMatch Enterprise

dataladder.com

Side by side

FigureCleanSmartDataMatch Enterprise
Price from$59/mo—
Free plan——
Free trialYesYes
Open source——
WebYesYes
Windows—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published33
Spec score · Customer Data Quality Software8.2 (#6)8.7 (#2)
Spec score · Data Cleansing Software8.1 (#8)8.7 (#5)
HeadquartersUnited States68 Bridge St Suite 307, Suffield, CT 06078, United States
Intended usersCleanSmart describes its intended users as marketing, sales, and revenue operations staff at small and mid-sized companies.The maker describes its visual interface as intended for business users, IT specialists, data analysts and scientists, and novice users.
SupportThe help center says the team aims to reply within one business day and monitors in-app chat during business hours for urgent active-run issues.The product page lists [email protected] and +1 (888) 779 6578 as contact details.

Plans

CleanSmart

  • Starter$59 a month
  • Pro$179 a month
  • Business$399 a month

CleanSmart pricing →

DataMatch Enterprise

  • DataMatch EnterprisePriced on request
  • DataMatch Enterprise + Address VerificationPriced on request
  • DataMatch Enterprise + APIPriced on request

DataMatch Enterprise pricing →

In their own words

CleanSmart

CleanSmart has no write-up on Specifiction yet; its figures are above.

Visit cleansmartlabs.com

DataMatch Enterprise

DataMatch Enterprise is a code-free toolkit for profiling, cleansing, matching, and deduplicating data from multiple sources. Its profiling tools identify quality problems and help surface where data may need cleansing, standardization, matching, or deduplication. Matching methods include phonetic, numeric, domain-specific, and fuzzy approaches, with adjustable algorithm levels and weights. An address module verifies and corrects mailing addresses, fills missing details, and adds ZIP+4 geocoding information. A REST API makes cleansing and matching functions available to custom projects. The containerized release can run on Linux, on-premises infrastructure, or in the cloud; listed platforms also include web and Windows. Visual entity graphs support review of matched groups from a particular run, rather than persistent identity graphs across batches. The maker describes the interface as intended for business users, IT specialists, data analysts and scientists, and novice users. The product is paid, with pricing on request; a free trial is available, but there is no free plan.

Visit dataladder.com