DataCleaner
7.4#3 in data preparation softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitDataCleaner vs Datactics
What both publish
| Fact | DataCleaner | Datactics |
|---|---|---|
| Data profiling | Its profiling engine identifies patterns, missing values, character sets and other characteristics of data. | The platform profiles incoming datasets to expose completeness, distributions and other quality problems. |
| Integrations | The project advertises Apache Hadoop, Apache Spark, Pentaho Data Integration and Apache MetaModel integrations. | Published integrations include Alation and Solidatus for catalogue and lineage, plus Snowflake, Databricks, AWS, Azure, Power BI and Tableau connectivity. |
| Notable news | The project news page records Human Inference's acquisition by EDM on February 11, 2019, while stating that the DataCleaner community remained open-source focused. | Datactics launched its Augmented Data Quality solution on 14 November 2023 with profiling, cleaning, matching, remediation and machine-learning features. |
| Purpose | DataCleaner is an open source data quality solution with a data profiling engine for discovering and analyzing data quality. | Datactics provides data profiling, rule building, automation, and AI-augmented data matching software. |
| Rating on G2 | 0.0 out of 5 from 0 reviews; G2 says there are too few reviews to provide buying insight. | 4.2 out of 5 from 3 reviews |
DataCleaner plans
- Community editionFree
- DataCleaner community editionFree
Datactics plans
- Datactics platformPriced on request
- Datactics platform / custom deploymentPriced on request
Pick DataCleaner if…
DataCleaner suits people who need to profile and clean data from files or databases, including developers who want to embed it or build plugins. It is available for Linux, macOS, and Windows.
Pick Datactics if…
Datactics suits business users, data quality administrators, and data engineers, including teams in regulated industries. Its hosting options may fit organizations with cloud, on-premise, or air-gapped requirements.