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DataCleaner vs Melissa Data Quality

Both stand on data cleansing software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

DataCleaner

Free plan Open source APILinuxMac+2

DataCleaner combines data profiling with cleansing rules, reference-data checks, and multiple input types. It is free and open source, with the latest listed download release identified as community edition 5.9.0.

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Melissa Data Quality

Free plan AndroidAPIExtension+6

Melissa Data Quality combines contact-data validation with duplicate matching, monitoring and multiple deployment choices. A free plan is listed, but subscription pricing and credit usage should be reviewed against the intended record volumes.

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The facts

DataCleanerMelissa Data Quality
Free planYesYes
Open sourceYesNo
Runs onAPI, Linux, Mac, Self-hosted, WindowsAndroid, API, Extension, iPhone, Linux, Mac, Self-hosted, Web, Windows
Lowest paid planFree or on requestGAAC UNL: $350 a year
Plans published210
MakerNot publishedNot published
Websitedatacleaner.github.iomelissa.com
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DataCleaner: what it does well

  • Profiles patterns and missing values
  • Works with CSV and Excel files
  • Supports relational and NoSQL databases
  • Cleansing rules include custom transformations
  • Desktop versions for Linux, macOS, and Windows

What to know first

  • The listed 5.8.1 release news is dated February 9, 2022
  • Code is licensed under LGPL

Melissa Data Quality: what it does well

  • Address tools cover more than 250 countries
  • Checks phone number authenticity and geolocation
  • Email verification includes domain and syntax checks
  • Subscription options include a standard 99.9% SLA
  • Free plan and trial are listed

What to know first

  • Address Autocompletion is only available with subscriptions
  • Credit model charges 3 credits per US address
  • Credit model charges 10 credits per global address

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