MatchCore
MatchCore: A deep data matching platform for governed golden records, with enterprise-level pricing. Ranked #12 of 27 in Data Deduplication Software by our editors (8.2/10); pricing: 14-day trial; best for enterprise matching with governed survivorship.
At a glance
- Editor score8.2 / 10
- Pricing14-day trial
- Best forEnterprise matching with governed survivorship
- Free planNo
- Paid from$417/user/mo
- Fuzzy matchingYes
- Founded2003 · Dover, Delaware, United States
- Facts checked20 Sep 2026
Where it wins
- Combines deterministic, fuzzy, phonetic, token-based and ML-enhanced matching
- Supports merge review, field-level survivorship and golden-record generation
- Offers REST APIs and automated scheduled or source-triggered workflows
Where it doesn't
- Standard Edition starts at $417 per user per month, billed annually
- Enterprise capabilities rise to $1,667 per user per month, billed annually
- The listed integration is Salesforce, limiting the named ecosystem coverage
Our verdict on MatchCore
MatchCore is a data matching and entity resolution platform for organizations consolidating customer, vendor, product, patient, or other records. It supports databases, CRMs, files and legacy systems, with desktop, server and API deployment options. Its workflow covers profiling, cleansing, standardization, configurable record comparison, review and golden-record creation, making it suited to teams that need governed deduplication rather than a simple duplicate finder.
The feature depth is its main distinction. MatchCore profiles completeness, anomalies, semantic patterns and statistics, then provides a visual cleansing and standardization pipeline. Matching can use exact, phonetic, fuzzy, edit-distance, token-based and ML-enhanced methods, with configurable field weights, confidence thresholds and cross-column matching. Teams can review merges, apply field-level survivorship rules, export golden records and automate recurring work through scheduled or source-triggered workflows. The RESTful API covers profiling, cleansing, matching, deduplication and merges, while duplicate prevention is included in the product specification.
Pricing places MatchCore toward organizations with substantial data governance needs. Standard Edition costs $417 per user per month when billed annually and includes profiling, cleansing, standardization, standard file and database connectors, plus deterministic and fuzzy matching with transparent scoring. Enterprise Edition costs $1,667 per user per month billed annually and adds unlimited records, containerized deployment, multi-user environments, enterprise authentication and SSO. Real-time Engine costs $3,333 per user per month billed annually and adds a real-time matching API, live search and no per-call or per-record fees. A 14-day free trial is available. MatchCore fits enterprise teams prioritizing controlled survivorship and automation; smaller teams or buyers seeking lower-cost, broader prebuilt integrations may prefer a narrower tool.
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MatchCore pricing
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MatchCore fact sheet
| Free plan | No |
|---|---|
| Paid from | $417/user/mo |
| Fuzzy matching | Yes |
| Automatic merging | Yes |
| Duplicate prevention | Yes |
| CRM integrations | 1 |
| API access | Yes |
| Merge review workflow | Both |
| Free trial | 14 days · no card needed |
| Deployment | Self-hosted, Desktop |
| Compliance & security | GDPR, 2FA |
| Support | Email, Phone, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 1 integrations: Salesforce |
| Pricing | 14-day trial (source) |
| Website | matchlogic.io |
| Facts checked | 20 Sep 2026 |
MatchCore integrations
MatchCore lists 1 integrations on its own site.
- Salesforce
Alternatives to MatchCore
- DataMatch EnterpriseA broad data-quality platform for complex CRM, ERP, and master-data programs.9.4
- Data8 DuplicareA focused deduplication solution for Dynamics 365 and Dataverse data quality.9.3
- TiloresA developer-focused platform for real-time matching, unification, and duplicate prevention.9.2
See all MatchCore alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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