DataMatch Enterprise
dataladder.com
What it is
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.
Spec sheet
- What it does
- DataMatch Enterprise is a code-free toolkit for importing, profiling, cleansing, matching, deduplicating, merging and exporting data.Read 15 Oct 2026 · dataladder.com
- Purpose
- DataMatch Enterprise is a code-free toolkit for data profiling, cleansing, matching, and deduplication across data sources.Read 30 Sep 2026 · dataladder.com
- Intended users
- The maker describes its visual interface as intended for business users, IT specialists, data analysts and scientists, and novice users.Read 30 Sep 2026 · dataladder.com
- Platforms
- The maker also documents a Windows desktop application; its system requirements page lists Windows operating systems from version 7 onward.Read 30 Sep 2026 · dataladder.com
- Deployment
- The 2026 release ships as a Docker container that runs on Linux, on-premises infrastructure or cloud environments.Read 15 Oct 2026 · dataladder.com
- Security
- The product page describes DataMatch Enterprise as certified for security, quality, compliance, and code integrity, without naming the certifications in its text.Read 30 Sep 2026 · dataladder.com
- Support
- The product page lists [email protected] and +1 (888) 779 6578 as contact details.Read 30 Sep 2026 · dataladder.com
- Headquarters
- 68 Bridge St Suite 307, Suffield, CT 06078, United StatesRead 23 Sep 2026 · dataladder.com
- Founded
- 2006Read 23 Sep 2026 · dataladder.com
- Address verification
- Address verification corrects addresses, adds missing components, supplies ZIP+4 geocoding and supports LACSLink transformations.Read 15 Oct 2026 · dataladder.com
- API languages
- The September 2026 release says any HTTP-capable stack, including Python, Java, Node and Go, can call matching and profiling services.Read 15 Oct 2026 · dataladder.com
- Company facts
- LinkedIn lists Data Ladder LLC as a privately held software-development company founded in 2006, headquartered in Suffield, Connecticut, with 11–50 employees.Read 15 Oct 2026 · linkedin.com
- Company founder and history
- Crunchbase identifies Nathan Krol as founder and CEO and reports a 1997 founding year, conflicting with LinkedIn’s 2006 date.Read 15 Oct 2026 · crunchbase.com
- Compliance claims
- Listed frameworks and reports include HIPAA/HITECH, ISO 27001, ISO 27018, PCI DSS, SOC 1, SOC 2, SOC 3, CSA STAR and EU Model Clauses.Read 15 Oct 2026 · dataladder.com
- Data cleansing
- The product standardizes and transforms data with built-in libraries, pattern recognition and preview of transformed values.Read 15 Oct 2026 · dataladder.com
- Data profiling
- Its profiling module reports completeness, data types, lengths, patterns, nulls, distinct counts, character classes and statistical values.Read 15 Oct 2026 · dataladder.com
- Documentation
- The vendor guide walks through import, profiling, cleansing, matching, results, survivorship, export, scheduling and API usage.Read 15 Oct 2026 · dataladder.com
- Help-center coverage
- The help center lists 15 DataMatch Enterprise common-issue articles, including Oracle connections, pattern-builder limits, registration errors and Excel export slippage.Read 15 Oct 2026 · dataladder.com
- Import integrations
- Documented inputs include text and CSV files, Excel, SQL Server, Oracle, Teradata, Salesforce and other ODBC databases.Read 15 Oct 2026 · dataladder.com
- Independent analyst view
- Bloor Research says DataMatch Enterprise covers profiling, matching, deduplication, cleansing, enrichment and address standardization, while Address Verification is an extra plug-in.Read 15 Oct 2026 · bloorresearch.com
- Industries
- The product page lists healthcare, education, government, retail, finance and insurance, and sales and marketing as industries served.Read 30 Sep 2026 · dataladder.com
- Integration
- The product exposes data cleansing and matching functions through a REST API for integration into custom projects.Read 30 Sep 2026 · dataladder.com
- Integration breadth
- The server datasheet lists connectors including SharePoint, Office 365, Snowflake, Spark, Redis, Redshift, PostgreSQL, MySQL, DB2, Teradata and many others.Read 15 Oct 2026 · dataladder.com
- Legacy platform
- Older system requirements describe a Windows desktop application compatible with Windows 7 onward, including server editions.Read 15 Oct 2026 · dataladder.com
- Licence
- Data Ladder describes its matching technology as proprietary and presents the product as a commercial quoted offering; no open-source licence is stated.Read 15 Oct 2026 · dataladder.com
- Limit: inconsistent matching
- G2 and Gartner feedback reports missed duplicates, incorrect relationships or different results when the same lists are matched again.Read 15 Oct 2026 · g2.com
- Limit: occasional hangs
- A G2 reviewer reports that the system sometimes gets stuck and requires restarting the matching process.Read 15 Oct 2026 · g2.com
- Limit: performance on fuzzy jobs
- A G2 reviewer says selecting master records can take a long time when fuzzy matching large files.Read 15 Oct 2026 · g2.com
- Limit: setup effort
- Gartner reviewers repeatedly mention that configuration and setup can take substantial time for customized operational needs.Read 15 Oct 2026 · gartner.com
- Matching
- It supports phonetic, numeric, domain-specific, and fuzzy matching, with tunable algorithm levels and weights.Read 30 Sep 2026 · dataladder.com
- Matching algorithms
- Matching supports exact, fuzzy, phonetic and numeric methods with configurable thresholds and field weights.Read 15 Oct 2026 · dataladder.com
- Merge and survivorship
- Rules can select a master record and overwrite or combine field values across matched groups.Read 15 Oct 2026 · dataladder.com
- Minimum hardware
- The legacy requirements list a dual-core processor, 4 GB RAM and 500 MB disk space, with input-data size affecting additional storage.Read 15 Oct 2026 · dataladder.com
- Notable limitation
- Entity graphs are visual review tools for a matched group from a specific run, not persistent identity graphs maintained across batches.Read 30 Sep 2026 · dataladder.com
- Notable news: September 2026
- Data Ladder announced a rebuilt matching engine, REST API, Docker deployment, entity graphs and live search on September 1, 2026.Read 15 Oct 2026 · dataladder.com
- Ownership update
- LinkedIn says Data Ladder is now part of Decision Support Technology.Read 15 Oct 2026 · linkedin.com
- Praise: integration and efficiency
- Gartner reviewers credit matching and system integration with improved operational efficiency and data accuracy.Read 15 Oct 2026 · gartner.com
- Praise: support
- G2 reviewers report helpful technical support, including live tutorials and responsive assistance with licensing and troubleshooting.Read 15 Oct 2026 · g2.com
- Praise: usability and speed
- G2 reviewers repeatedly describe the interface as intuitive or easy to use and say large name-and-address files are processed quickly.Read 15 Oct 2026 · g2.com
- Public API
- All cleansing, profiling, matching and deduplication functions are exposed through REST endpoints returning match scores and confidence levels.Read 15 Oct 2026 · dataladder.com
- Rating on G2
- 4.2 out of 5 from 27 reviewsRead 15 Oct 2026 · g2.com
- Rating on Gartner Peer Insights
- 4.5 out of 5 from 14 ratingsRead 15 Oct 2026 · gartner.com
- Rating on GetApp
- 0 out of 5 from 0 reviewsRead 15 Oct 2026 · getapp.com
- Rating on SoftwareReviews
- 7.8 out of 10 from 10 reviewsRead 15 Oct 2026 · softwarereviews.com
- Rating on TrustRadius
- 7 out of 10 from 1 reviewRead 15 Oct 2026 · trustradius.com
- SDKs
- The previous API was .NET-only; the current release description specifies REST access rather than named language SDKs.Read 15 Oct 2026 · dataladder.com
- Security controls
- The security document describes on-premises deployment, Azure hosting, encryption in transit and at rest, Azure AD role controls and optional multifactor authentication.Read 15 Oct 2026 · dataladder.com
- Support documentation limit
- A G2 reviewer said advanced functions lacked easy-to-find user-manual documentation, although support answered questions.Read 15 Oct 2026 · g2.com
Plans and prices
DataMatch Enterprise Priced on request Enterprise cleansing and fuzzy matching on millions of records · domain-specific name-verification and standardization libraries · free-trial download Read 15 Oct 2026 · dataladder.com
DataMatch Enterprise + Address Verification Priced on request Real-time fuzzy database search · API data retrieval · no-code matching and deduplication Read 15 Oct 2026 · dataladder.com
DataMatch Enterprise + API Priced on request CASS-certified address matching · DPV and LACSLink · address transformations · API integration Read 15 Oct 2026 · dataladder.com
Strong points and limits
Strong points
- Offers phonetic, numeric, domain-specific, and fuzzy matching.
- Address tools verify, correct, and enrich mailing addresses.
- REST API exposes cleansing and matching functions.
- Runs on Linux, on-premises infrastructure, or in the cloud.
- Free trial available.
Limits
- Pricing is available on request.
- No free plan.
- Entity graphs are not persistent across batches.
Who it suits
It suits teams that need to profile and deduplicate data across sources, including business users, IT specialists, analysts, and scientists. Its REST API and deployment options also suit custom projects and on-premises or cloud environments.
Verdict
DataMatch Enterprise combines profiling, matching, address verification, and deduplication with several deployment options. Check whether its run-specific entity graphs fit your review process and request pricing before choosing it.
Where Specifiction places it
- Data Deduplication Software#1 of 278.8
- Customer Data Quality Software#2 of 278.7
- Data Cleansing Software#5 of 318.7
