DataMatch Enterprise vs OpenDQ
DataMatch Enterprise
dataladder.comOpenDQ
infosolvetech.comSide by side
| Figure | DataMatch Enterprise | OpenDQ |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · Customer Data Quality Software | 8.7 (#2) | 7.8 (#18) |
| Deployment | The 2026 release ships as a Docker container that runs on Linux, on-premises infrastructure or cloud environments. | The maker lists cloud, hybrid, and on-premise deployment options for its MDM platform. |
| Founded | 2006 | 2003 |
| Headquarters | 68 Bridge St Suite 307, Suffield, CT 06078, United States | Princeton, New Jersey, United States |
| Purpose | DataMatch Enterprise is a code-free toolkit for data profiling, cleansing, matching, and deduplication across data sources. | OpenDQ provides enterprise data quality capabilities for structured and unstructured data. |
| Security | The product page describes DataMatch Enterprise as certified for security, quality, compliance, and code integrity, without naming the certifications in its text. | The maker lists role-based security with data-level and domain-level access for its MDM platform. |
Plans
DataMatch Enterprise
- DataMatch EnterprisePriced on request
- DataMatch Enterprise + Address VerificationPriced on request
- DataMatch Enterprise + APIPriced on request
In their own words
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.
OpenDQ
OpenDQ is an open-source product for data quality across structured and unstructured data, listed at zero license cost. Its tools include profiling, standardization, fuzzy matching, deduplication, validation, reporting, and monitoring. The maker says its profiling framework can scale from millions to billions of records. Machine-learning components parse free-form text into components, and enrichment can add demographic, geographic, business, and consumer data. External enrichment is optional and subscription based. The technology page describes Apache Spark-based clusters for compute-intensive processing. The maker also says OpenDQ synchronizes data in real time with over 200 applications and supplies connectors for popular data systems. Platforms include API, self-hosted, and web. For its MDM platform, listed deployment choices are cloud, hybrid, and on-premise, with SOA/REST APIs and role-based data-level and domain-level access. The company describes auditing and data lineage for its securities master solution. Infosolve Technologies says it serves organizations from nonprofits to Fortune 100 companies and was founded in South Brunswick, New Jersey, in 2003; its headquarters are in Princeton, New Jersey.