DataCleaner vs DataMatch Enterprise
DataCleaner
datacleaner.github.io
DataMatch Enterprise
dataladder.comSide by side
| Figure | DataCleaner | DataMatch Enterprise |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 3 |
| Spec score · Data Cleansing Software | 8.9 (#2) | 8.7 (#5) |
| Data profiling | Its profiling engine identifies patterns, missing values, character sets and other characteristics of data. | Its profiling module reports completeness, data types, lengths, patterns, nulls, distinct counts, character classes and statistical values. |
| Licence | The community edition code is licensed under the GNU Lesser General Public License. | Data Ladder describes its matching technology as proprietary and presents the product as a commercial quoted offering; no open-source licence is stated. |
| Public API | The GitHub repository describes an api module containing public interfaces and annotations for building extensions. | All cleansing, profiling, matching and deduplication functions are exposed through REST endpoints returning match scores and confidence levels. |
| Purpose | DataCleaner is an open source data quality solution with a data profiling engine for discovering and analyzing data quality. | DataMatch Enterprise is a code-free toolkit for data profiling, cleansing, matching, and deduplication across data sources. |
| 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 27 reviews |
| What it does | DataCleaner is a toolkit for profiling, correcting and enriching data, including ad-hoc analysis, recurring cleansing, matching and master-data-management work. | DataMatch Enterprise is a code-free toolkit for importing, profiling, cleansing, matching, deduplicating, merging and exporting data. |
Plans
DataMatch Enterprise
- DataMatch EnterprisePriced on request
- DataMatch Enterprise + Address VerificationPriced on request
- DataMatch Enterprise + APIPriced on request
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.
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.