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SPECIFICTION
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OpenDQ

infosolvetech.com

Free plan WebAPISelf-hosted
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Spec score 7.8 #18 of 27 in Customer Data Quality Software

What it is

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.

Spec sheet

Purpose
OpenDQ provides enterprise data quality capabilities for structured and unstructured data.Read 7 Oct 2026 · infosolvetech.com
Deployment
The maker lists cloud, hybrid, and on-premise deployment options for its MDM platform.Read 7 Oct 2026 · infosolvetech.com
API
The maker lists SOA/REST APIs for integration with other applications and processes.Read 7 Oct 2026 · infosolvetech.com
Integrations
The maker says OpenDQ synchronizes data in real time with over 200 applications and provides connectors for popular data systems.Read 7 Oct 2026 · infosolvetech.com
Security
The maker lists role-based security with data-level and domain-level access for its MDM platform.Read 7 Oct 2026 · infosolvetech.com
Headquarters
Princeton, New Jersey, United StatesRead 23 Sep 2026 · infosolvetech.com
Founded
2003Read 23 Sep 2026 · infosolvetech.com
Audit
The maker describes comprehensive auditing and data lineage tracking for its securities master solution.Read 7 Oct 2026 · infosolvetech.com
Company history
Infosolve Technologies says it was founded in South Brunswick, New Jersey, in 2003.Read 7 Oct 2026 · infosolvetech.com
Data parsing
OpenDQ uses machine learning components to parse free-form text into components.Read 7 Oct 2026 · infosolvetech.com
Data quality tools
Its listed tools include profiling, standardization, fuzzy matching, deduplication, validation, reporting, and monitoring.Read 7 Oct 2026 · infosolvetech.com
Enrichment
The maker describes enrichment with demographic, geographic, business, and consumer data, with optional subscription-based external enrichment.Read 7 Oct 2026 · infosolvetech.com
Scale
The maker says its profiling framework scales from millions to billions of records.Read 7 Oct 2026 · infosolvetech.com
Support and contact
The company lists phone contact numbers and an email link on its website.Read 7 Oct 2026 · infosolvetech.com
Technology
The technology page lists Apache Spark-based clusters for compute-intensive processing.Read 7 Oct 2026 · infosolvetech.com
Who it serves
The company says it serves businesses ranging from nonprofit organizations to Fortune 100 companies.Read 7 Oct 2026 · infosolvetech.com

Plans and prices

OpenDQ Data Quality Free Zero license cost; optional external data enrichment and enhancement are subscription based Read 7 Oct 2026 · infosolvetech.com

Every OpenDQ plan and price →

Strong points and limits

Strong points

  • Zero license cost; optional external enrichment is subscription based.
  • Supports profiling, deduplication, validation, and monitoring.
  • Maker says profiling scales from millions to billions of records.
  • Real-time synchronization with over 200 applications is listed.

Limits

  • External data enrichment and enhancement may require a subscription.
  • Listed MDM deployment options may require cloud, hybrid, or on-premise setup.

Who it suits

OpenDQ suits organizations working with structured or unstructured data that need profiling, matching, validation, or monitoring. Its deployment and integration options are described for enterprise data and MDM use cases.

Verdict

OpenDQ covers a broad set of data-quality tasks and offers API, self-hosted, and web access. Consider the separate subscription cost for external enrichment and the deployment options described for its MDM platform.

Where Specifiction places it

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