Overview

The product groups suspected duplicate records, scores them, and either merges them under configured rules or routes them for review. That makes it more suited to ongoing data hygiene than a one-off cleanup: teams can tune decisions by object and divide work between automation and people. The tradeoff is administrative judgment—matching thresholds and merge rules need to reflect the quality and risk of the CRM data.

Key features

Matching and merge control

Teams can set exact or fuzzy fields, field weights, score thresholds, synonym lists, and frequent-word exclusions for each object. Master-record and field rules determine which record survives and which values transfer. This is valuable where duplicate patterns differ across objects, but it places responsibility on administrators to configure rules that avoid both missed matches and damaging false positives. Optional AI suggestions support manual merges rather than replacing that control.

Automation with a review path

Scheduled jobs can automatically merge groups above a selected score and leave lower-scoring groups for review. That division gives teams a way to reduce routine cleanup without treating every possible match as safe. Both automatic merging and review workflows are supported, alongside duplicate prevention.

Objects, scale, and recovery

Detection covers standard and custom objects, including comparisons between two object types, and Plauti says jobs can handle millions of records. Restore can recover merged records on supported objects, but changing a record to a different object type is final. Teams whose cleanup workflow relies on object conversion should treat that as a material risk.

Salesforce integration and operations

For Salesforce, integration options include Apex API, REST API, Flow Actions, Apex plugins, and Plauti CLI tools. Plauti says core capabilities run within the CRM, with Plauti Cloud or Desktop available for large data processing. Merges respect existing object permissions and sharing rules, while audit logs capture who merged what and when. Plauti cites ISO 27001 certification as part of its security commitment and says support requests are picked up within one working day.

Pricing

Plauti uses a freemium model. The Salesforce free version costs 0.00 USD per free and is available through AppExchange, but full-edition features require a trial or custom pricing. The 14-day trial gives teams a short window to assess the fully powered version before committing.

The paid Plauti Deduplicate plan has custom pricing based on record volume; Plauti quotes custom packages, and Clean is priced by records plus credits. That model makes the free edition a sensible starting point for Salesforce teams validating fit, but it leaves larger deployments needing a volume-specific quote before budgeting. The free version is specifically a Salesforce offer, so Dynamics 365 teams should not assume the same entry tier applies.

Platforms

Plauti lists API, self-hosted, and web platform support. Salesforce teams get the named Apex, REST, Flow, plugin, and CLI integration paths. The product is also presented for Dynamics 365 teams, though the detailed integration options above are Salesforce-specific.

Who it's for

Choose Plauti when a Salesforce or Dynamics 365 team needs object-specific matching, a blend of scheduled merging and human review, and controls that work with existing CRM permissions. It is a stronger fit for teams willing to tune rules and confirm volume-based costs than for buyers seeking a simple, fixed-price cleanup utility. Salesforce users can start with the free edition; teams handling irreversible object-type conversions should plan around the restore limitation.

Pros and cons

Pro: Per-object matching controls and merge rules let teams adapt decisions to different CRM data rather than rely on a single global rule.
Pro: High-score automation and lower-score review provide a practical balance between cleanup throughput and human oversight.
Pro: Salesforce API, Flow, plugin, and CLI options give teams multiple routes to fit deduplication into established processes.
Con: Paid pricing depends on record volume and custom quoting, so buyers need a quote to judge full-scale cost.
Con: Restore does not undo a conversion to another object type, making that merge path final.
Con: The free version is for Salesforce, limiting its usefulness as a no-cost starting point for teams evaluating the product for Dynamics 365.

Alternatives

Data Deduplication Software and Data Cleansing Software are category lists for teams comparing a broader set of options.

Tilores is worth considering for teams seeking a free local mode with up to 100,000 records per deployment and no account or licence key.
DQE One Unify is an option for buyers who want curative processing hosted in DQE’s cloud and are comfortable with a paid SaaS plan.
Reltio Multidomain Master Data Management is another paid API and web option for teams seeking multidomain MDM.
Cloudingo may suit Salesforce teams preferring published annual per-org pricing, starting at 2500.00 USD per year for Standard, which includes one user account and standard objects.
D&B Hoovers is a paid API option with Essentials plans priced around company and contact credits, for teams whose needs align with that credit-based model.
DataGroomr is an alternative with a published Micro plan at 399.00 USD per year for fewer than 10,000 records and email support.
DataMatch Enterprise is an alternative for buyers considering enterprise-grade cleansing and fuzzy matching on millions of records.
Zingg is a free, open-source option for teams that can use a Linux or self-hosted batch workflow.

Verdict

Plauti Deduplicate is a strong choice for CRM teams—especially Salesforce users—that need adjustable matching, scheduled merges, and a review path within existing processes. Its configurable rules and integration options are the main reasons to choose it; volume-based custom pricing and the finality of object-type conversions are the reasons to look elsewhere or proceed only with a clear cost and recovery plan.

	Datactics	Plauti Deduplicate
Free plan	No	Yes
Free trial	No	Yes
Paid from	—	Free
Open source	No	No
Platforms	api, self-hosted, Web	api, self-hosted, Web
Standardization rules	Yes	—
Data validation	Yes	—
Data enrichment	Yes	—
Processing mode	both	—
Free plan	—	Yes

Datactics vs Plauti Deduplicate

Datactics

Plauti Deduplicate