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DataCleaner vs tye

DataCleaner

datacleaner.github.io

tye

tye.io

Side by side

FigureDataCleanertye
Price fromFree—
Free planYes—
Free trial——
Open sourceYes—
Web—Yes
WindowsYes—
macOSYes—
LinuxYes—
APIYes—
Self-hostedYes—
Plans published20
Spec score · Data Cleansing Software8.9 (#2)6.7 (#23)
IntegrationsThe project advertises Apache Hadoop, Apache Spark, Pentaho Data Integration and Apache MetaModel integrations.The homepage says tye connects to CRM or ERP systems, but does not name specific integrations there.
What it doesDataCleaner is a toolkit for profiling, correcting and enriching data, including ad-hoc analysis, recurring cleansing, matching and master-data-management work.tye provides guided data cleansing and enrichment for customer data.

Plans

DataCleaner

  • Community editionFree
  • DataCleaner community editionFree

DataCleaner pricing →

tye

No plans published.

tye pricing →

In their own words

DataCleaner

DataCleaner is an open-source data quality application for profiling, validating, and cleansing data. Its profiling engine identifies patterns, missing values, character sets, and other traits in data values. It works with CSV files, Excel spreadsheets, relational databases, and NoSQL databases. Users can create cleansing rules with search and replace, regular expressions, pattern matching, or custom transformations, and use internal or external reference data to check values. DataCleaner supports batch processing, visual workflows, standardization, validation, enrichment, scheduled runs, and desktop deployment on Linux, macOS, and Windows. Named integrations and connectivity options include Apache Hadoop, Apache Spark, Pentaho Data Integration, and Apache MetaModel. Developers can embed it in other applications or build plugins; the project also describes community extensions, integrations, and shared content. The code is licensed under LGPL. The community edition is free at free. The downloads page lists 5.9.0 as the latest release; release news says version 5.8.1 runs on Java 9 through 17 and is dated February 9, 2022.

Visit datacleaner.github.io

tye

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

Visit tye.io