search legion

Head-to-head · Data governance

Collate vs Precisely Data Integrity Suite

Collate leaves paid prices unpublished; Precisely lists a $50 monthly entry plan, but overage costs remain unclear.

Collate

6.0/10
VS

Precisely Data Integrity Suite

6.5/10

We may earn a commission if you buy through links on this page. It never changes a score or a ranking. How we make money

Short answer

It's a split decision.

Choose Collate for a metadata-first program focused on cataloging, governance and data discovery. Its listed Free Tier covers five users, 500 assets, unlimited connectors, and weekly refresh; paid tier prices are not published. Choose Precisely when data integration, validation, enrichment, location intelligence, or master data management matters more than a metadata-first catalog. Its pricing lists a 30-day trial and Basic at $50 monthly, but credit overage costs are not published.

01Side by side

CollatePrecisely Data Integrity Suite
Starting pricePaid prices not publishedBasic: $50/month; overage costs unpublished
Free optionFree Tier: 5 users, 500 assetsNo free plan; 30-day trial, 2,500 credits
Best forMetadata cataloging, governance, and data discoveryBroader data integrity, enrichment, and master data
Core strengthCatalog, lineage, governance, and Collate AIIntegration, quality, enrichment, and location intelligence
Learning curveEase-of-use review score: 6/10Ease-of-use review score: 5/10
Integrations and dataUnlimited connectors; asset caps vary by tierConnects data from any source; credit-based plans
Team and seat costs5–50 users by tier; unlimited option unpricedSeat caps unlisted; overage costs unpublished
SupportReview support score: 5/10Review support score: 5/10

Choose Collate if

  • Choose Collate if metadata discovery and governance are your priority.
  • Choose Collate if five free users and 500 assets fit.
  • Choose Collate if unlimited connectors matter more than published prices.

Choose Precisely Data Integrity Suite if

  • Choose Precisely Data Integrity Suite if you need a 30-day trial.
  • Choose Precisely Data Integrity Suite if $50/month Basic fits your usage.
  • Choose Precisely Data Integrity Suite for enrichment or master data management.

02Pricing compared

Precisely lists a 30-day free trial with 2,500 credits, then Basic at $50 per month for a minimum of 5,000 credits. Taxes are extra, and overage costs are not published. Professional is $900 per month with an annual commitment and a 100,000-credit minimum; overages still apply at an unpublished cost. Enterprise pricing is custom for more than 100,000 credits, and risk-related activities may add fees.

Collate lists a Free Tier for five users and 500 assets, with unlimited connectors and weekly refresh, but no paid prices. Premium covers 25 users and 5,000 assets with eight-hour refresh; Enterprise lists 50 users and 10,000 assets with hourly refresh. Both paid prices are unpublished. That makes Precisely easier to budget at entry level, but neither vendor gives a complete cost picture: Precisely leaves overages unclear, while Collate leaves paid pricing opaque.

03Features and depth

Collate is the more metadata-first option. Its catalog covers databases, dashboards, pipelines, storage, data lakes and machine-learning models, with upstream, downstream and column-level lineage. It also lists profiling, no-code quality tests, alerts, incident management, glossaries, access policies, PII classification, ownership, tags and certifications. Collate AI supports metadata descriptions and natural-language interactions; APIs and custom metadata entities allow extensions.

Precisely covers a broader set of data-management jobs: integration across sources, profiling and validation, governance and lineage, location intelligence, master data management, and data enrichment with pre-linked datasets. Its stated MDM function is to establish a golden record and sync it across systems. Its homepage also presents AI Studio with ready-made apps, agents and skills.

There is overlap in quality and governance, but the buying distinction is scope. Choose Collate when cataloging and metadata governance lead the project. Choose Precisely when integration, enrichment, location data or master records are central. The published descriptions do not establish that either replaces the other across every capability.

04Ease of use and learning curve

Neither product’s published information explains setup time, training requirements or implementation effort, so we would not treat either as a proven easier rollout. The reviews score Collate’s ease of use at 6 and Precisely’s at 5, but those scores do not explain what users found difficult.

The practical friction points are clearer. Collate’s free tier is capped at five users and 500 assets, while its paid prices are unpublished; teams need to clarify tier fit and cost before committing. Precisely publishes credit minimums, but overage costs are not listed, and Professional requires an annual commitment. Its many product areas may also mean a wider evaluation, depending on what a team plans to use. Ask both vendors to scope implementation and full costs, including limits and overages, before switching.

Questions people ask

What is the difference between data integrity and data consistency?

The published product descriptions do not give formal definitions. In practical terms, integrity concerns whether data is valid and reliable; consistency concerns whether values agree across systems or records. Precisely lists profiling and record validation, while Collate lists profiling and no-code quality tests, but neither description defines consistency.

What are the 7 C's of data quality?

Neither product description nor pricing information provided here lists a seven-C data-quality framework. We would not attribute a particular list to Collate or Precisely. Their materials instead describe concrete quality functions: Collate lists profiling and no-code tests, while Precisely lists profiling and record validation.

What does data integrity mean?

The published materials do not provide a formal definition. In this comparison, the relevant functions are checking whether data is reliable: Precisely lists profiling and validating records, while Collate lists automated profiling and no-code tests. Those capabilities address data quality, but neither description claims a single, exhaustive definition of integrity.

What two methods help to ensure data integrity?

Profiling and validation are two methods named in the published product information: Precisely lists both for records, and Collate lists profiling plus no-code quality tests. They can help teams identify data problems, but the materials do not specify a complete integrity process or guarantee that these steps alone are sufficient.