Deduplication Apps for Dynamics 365: What to Look for on Microsoft Marketplace

If you're evaluating deduplication tools for Dynamics 365, Microsoft Marketplace has options, but they're not built for the same kind of problem. Some are lightweight tools for occasional cleanup. Others handle the full complexity of a real Dynamics 365 environment: custom entities, field-level merge logic, fuzzy matching across large datasets, and prevention at every entry point.

This guide covers what to look for, and what separates a tool you'll still be using in a year from one you'll outgrow in six months.

Why does Dynamics 365's built-in duplicate detection fall short?

Dynamics 365 ships with native duplicate detection rules. For a simple org with standard entities and low data volumes, they cover the basics. Past that, the gaps show up fast.

• Limited custom entity support, with gaps even where it exists. Native detection ships default rules only for Accounts and Contacts. For every other entity, an admin has to build and publish a rule by hand. Even then, those rules don't fire on API inserts, bulk deduplication jobs cap out at 5,000 records, and a user can bypass a duplicate warning entirely by clicking "ignore and save."
• No fuzzy matching. Native rules compare fields exactly or near-exactly. "Acme Inc." and "Acme Incorporated" won't be flagged as duplicates.
• No field-level merge control. When duplicates merge, you have little say over which field values survive, which matters a lot when the records came from different source systems.
• No cross-entity detection. A Lead that already exists as a Contact won't be caught unless you've manually configured a rule for that specific overlap.

Past a few hundred records across multiple entity types, these gaps compound quickly.

The three criteria that actually matter

When you evaluate deduplication tools for Dynamics 365 on Marketplace, three capabilities tend to separate tools built for real environments from ones built for demos.

Fuzzy matching: not just exact field comparisons

Fuzzy matching finds duplicates where the values aren't identical but clearly refer to the same entity:

• Name variants ("Robert" vs. "Bob", "Johnson & Sons" vs. "Johnsons and Sons Ltd.")
• Address variations (abbreviated streets, different postal formats)
• Phone number formats (+31 26 123 4567 vs. 0031261234567)
• Company name inconsistencies across source systems

A tool without fuzzy matching misses a large share of your real duplicates, especially in orgs where data comes from multiple integrations, imports, or manual entry.

Custom merge rules: field-level survivorship logic

Finding duplicates is only half the problem. What happens during the merge matters just as much. When two records merge, one becomes the master, but "keep the most recently updated record" is rarely the right rule for every field:

• Some fields should always pull from the system of record (the ERP, not the CRM)
• Some fields should never be overwritten once populated
• Some fields should keep the most complete value, regardless of which record was updated last

A tool with real custom merge rules lets you configure field-level survivorship per entity and per field, with logic like "keep the value from source system X" or "keep the most recently updated value." That's different from a tool that only lets you pick a master record and accept whatever comes with it.

It's also worth checking whether merge logic runs before the merge executes, so it can block or redirect the outcome, or only after, so it can log what happened but not change it.

Custom entity support: not just Leads, Contacts, and Accounts

Standard entity coverage is the baseline. Most tools handle Contacts, Leads, and Accounts. The real question is what happens with the rest of your data model.

Dynamics 365 environments often include custom entities specific to the business: patient records, project tables, service cases, product catalogs, or partner data. A deduplication tool that only supports standard entities leaves those custom tables to accumulate duplicates with no way to address them.

Check whether you can configure deduplication scenarios independently for each custom entity, and whether you can control prevention behavior, merge rules, and matching logic on a per-entity basis.

Tools worth evaluating on Microsoft Marketplace

Three tools come up consistently when you look at serious deduplication for Dynamics 365: Plauti, DeDupeD by Inogic, and Duplicare by Data8. All three go well beyond native Dynamics 365 detection, and all three cover the three criteria above. They're built for different buyers.

Plauti for Dynamics 365

Plauti is built for complex Dynamics 365 environments, where the data model, entry points, and compliance requirements go beyond what simpler tools handle.

Fuzzy matching: configurable per entity and per field. Exact logic (email, VAT number, ID fields) and fuzzy matching (company name, address, phone) can run in the same scenario, with matching weights adjusted per confidence level.

Custom merge rules: field-level survivorship is set per entity and per field, defining which value wins based on criteria like latest update, source system, or a fixed master. Key fields can be protected from being overwritten. Merge logic runs inside the process before it completes, so it can change the outcome rather than just log it.

Custom entity support: any standard or custom entity gets its own independent configuration, scenarios, prevention hooks, and merge rules, so the tool adapts to the data model instead of the other way around.

Beyond those three, Plauti also covers:

• Cross-entity detection: find Leads that already exist as Contacts or Accounts, and handle them automatically or route them for review before they're created.
• Prevention at every entry point: real-time checks on record creation and edits, including Quick Create forms, API inserts, and imports, all screened against the same configured scenarios.
• Bulk jobs for large volumes: batch processing handles millions of records without affecting Dynamics 365 performance.
• Audit trail: every merge, deactivation, and deletion is logged with who, when, and what changed, useful for compliance and downstream investigation.

Plauti is active in more than 17,000 CRM environments and is used by organizations including Roche, Sony, Stanford University, and Johnson & Johnson. A 14-day trial is available on Microsoft Marketplace, with no credit card required.

Best fit: organizations with complex data models, regulated industries, large data volumes, or multi-environment Dynamics 365 setups.

DeDupeD by Inogic

DeDupeD is a no-code deduplication tool for Dynamics 365 and Dataverse, built for teams that need to get running quickly without developer involvement. It covers fuzzy matching, custom entities, and merge rules, positioned at the ease-of-use end of the market.

Fuzzy matching: DeDupeD supports five matching methods per rule: Exact, First N Characters, Last N Characters, Contains, and Fuzzy. Fuzzy logic covers phonetic similarity, partial matches, and format variations across names, phone numbers, and addresses.

Custom merge rules: field-level merge preferences are configurable, with options to sum numbers, append text, or join option sets. Master record selection is rule-driven, and bulk merging is available for cleaning existing data at scale.

Custom entity support: both standard and custom entities are supported, with scenarios and prevention settings configurable per entity.

DeDupeD also supports scheduled deduplication jobs (daily, weekly, monthly), real-time prevention on both client and server side, and an audit trail covering who merged what and when. It's compatible with Dynamics 365 v9.1 and above, including online and on-premises deployment. A 15-day free trial is available on Marketplace.

Best fit: smaller to mid-sized teams that want effective deduplication without configuration complexity or developer resources.

Duplicare by Data8

Duplicare is a long-established deduplication tool for Dynamics 365, recognized with the Queen's Award for Enterprise and Innovation. It covers the core requirements and adds capabilities the other two don't emphasize, most notably built-in address standardization and phone number formatting alongside duplicate detection.

Fuzzy matching: Duplicare uses phonetic matching, address matching, domain matching, and company name matching. Rules are built using an interface modeled on Dynamics 365's Advanced Find, which lowers the learning curve for existing D365 users.

Custom merge rules: predefined merge rules drive quick merge flows, and field-level survivorship is configurable. Multi-record merge (more than two records at once) is supported, as is bulk batch processing for existing duplicates.

Custom entity support: deduplication and merging are available on both standard and custom entities.

One consideration for regulated industries: Duplicare runs its analysis on external cloud infrastructure rather than natively within Dynamics 365. If you're in financial services, healthcare, or the public sector, where data residency and processing matter, that's worth evaluating carefully.

Pricing, where publicly listed, runs 15,000-25,000 British pounds per year. A 30-day free trial is available on Marketplace, with some batch processing limitations during the trial period.

Best fit: organizations already embedded in the Data8 ecosystem, or those who prioritize address standardization and phone formatting alongside deduplication.

What to ask during any evaluation

These questions surface the gaps quickly, regardless of which tools make your shortlist:

• Does it support custom entities? Ask for a demo on a custom entity, not just Contacts.
• What does fuzzy matching actually look like in the UI? Ask to see it catch a real variant from your own data.
• Does merge logic run before or after the merge executes? That determines whether custom logic can change the outcome or only observe it.
• How does it handle records coming in via API or imports? Prevention that only works in the UI misses a real entry point in integrated orgs.
• What's in the audit log, and where does it live? Compliance teams will ask.
• Can configuration move between environments? If you run sandbox or UAT environments, inconsistent duplicate behavior across them is a real operational problem.