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Databases · head to head

Immuta vs Marqo

Immuta logo

Immuta

Databases

Attribute-based access control and masking applied inside Snowflake, Databricks and BigQuery

From
On request
Rated
-
Full reviewWebsite
Marqo logo

Marqo

Databases

AI-native product discovery platform for ecommerce

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Immuta contracts commonly start around one hundred to two hundred thousand US dollars a year for mid-market deployments and exceed five hundred thousand at enterprise scale, which excludes most data teams without a regulatory mandate.; Marqo pricing not publicly available, enterprise sales-only model
  • They diverge on capability: Immuta covers Attribute-based policy, Marqo covers Semantic search.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Immuta and Marqo actually diverge.

Attributes where Immuta and Marqo differ
AttributeImmutaMarqo
Pricing modelquotecontact-sales
PlatformsWeb, API, CloudWeb API, SaaS
FoundedUnknown2022

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated), category (Databases).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Immuta

  • Attribute-based policy
  • Native enforcement
  • Dynamic masking
  • Row-level filtering
  • Purpose-based access
  • Sensitive data tagging
  • Audit logging
  • Multi-platform

Only in Marqo

  • Semantic search
  • Multimodal image search
  • AI model training
  • Automated merchandising
  • Multi-surface integration
  • Commerce platform integrations
  • API access

What people use each for

The jobs each tool is most often brought in to do.

Immuta

  • A bank whose Snowflake estate has grown to tens of thousands of roles that no one can review before an auditnot Marqo
  • A healthcare analytics team that must let researchers query patient data with identifiers masked unless a specific purpose is recordednot Marqo
  • A multinational applying different residency and access rules per jurisdiction to the same tables without duplicating datasetsnot Marqo
  • An organisation running both Snowflake and Databricks that wants one policy set rather than two divergent implementationsnot Marqo

Marqo

  • Improve search revenue for fashion and beauty retailersnot Immuta
  • Implement multimodal image and product searchnot Immuta
  • Increase checkout conversion through better product discoverynot Immuta
  • Create personalized product recommendationsnot Immuta
  • Reduce customer support inquiries with relevant search resultsnot Immuta

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Immuta

  • Contracts commonly start around one hundred to two hundred thousand US dollars a year for mid-market deployments and exceed five hundred thousand at enterprise scale, which excludes most data teams without a regulatory mandate.
  • Policy is only as good as the data classification underneath it, so an organisation with poorly tagged columns will spend months on classification before Immuta enforces anything useful.
  • Native enforcement means capability varies by platform, and a feature available on Snowflake may be absent or behave differently on BigQuery, which undermines the promise of one policy set everywhere.
  • Adding an access governance layer creates a new dependency in the path to data: a misconfigured policy silently returns fewer rows rather than erroring, and analysts can act on incomplete results without noticing.
  • It governs cloud data platforms, so personal data in operational databases, files and SaaS applications sits outside its scope and needs separate controls, meaning Immuta is rarely the whole answer.

Marqo

  • Pricing not publicly available, enterprise sales-only model
  • Requires custom implementation and integration work
  • Limited to ecommerce use cases compared to general search
  • Model training requires sufficient customer behavior data

Pricing, plan by plan

Immuta

On request
  • Immuta Platform$undefined/year
    • Attribute-based policy authoring
    • Native enforcement in supported data platforms
    • Dynamic masking and row-level security

Marqo

On request

No published plan breakdown. See the Marqo review.

Which should you pick?

Choose Immuta if

  • You need attribute-based policy.
  • You work on Web, API, Cloud.
  • You also want native enforcement.
Immuta review

Choose Marqo if

  • You need semantic search.
  • You work on Web API, SaaS.
  • You also want multimodal image search.
Marqo review

Questions people ask

Is Immuta or Marqo better?
Neither clearly leads. Immuta starts at On request and Marqo at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Immuta or Marqo?
Immuta starts at On request and Marqo at On request.
Does Immuta or Marqo run on more platforms?
Immuta runs on Web, API, Cloud. Marqo runs on Web API, SaaS.
What is Immuta best used for?
Immuta is most often used for a bank whose snowflake estate has grown to tens of thousands of roles that no one can review before an audit, a healthcare analytics team that must let researchers query patient data with identifiers masked unless a specific purpose is recorded, a multinational applying different residency and access rules per jurisdiction to the same tables without duplicating datasets, an organisation running both snowflake and databricks that wants one policy set rather than two divergent implementations. Of those, a bank whose snowflake estate has grown to tens of thousands of roles that no one can review before an audit and a healthcare analytics team that must let researchers query patient data with identifiers masked unless a specific purpose is recorded are not what Marqo is typically brought in for.
What can Immuta do that Marqo cannot?
Immuta covers Attribute-based policy, Native enforcement, Dynamic masking, Row-level filtering. Marqo covers Semantic search, Multimodal image search, AI model training, Automated merchandising.

Answered from the vendors’ own pages

Immuta: Does Immuta sit in the query path?

No. It compiles policies into the data platform's own native controls, so queries run at normal speed through your existing tools.

Marqo: How do Marqo models get trained?

Marqo trains dedicated AI models on each retailer's product catalog and customer behavior data including clicks, purchases, and browsing patterns. This ensures models are optimized for the specific retailer's products and customers.

Source
Immuta: What does it cost?

Not published. Market data suggests roughly 100,000 to 200,000 US dollars a year for mid-market deployments and considerably more at enterprise scale.

Marqo: What results can retailers expect from Marqo?

Enterprise retailers using Marqo report 10-23% increases in search revenue and conversion rates, with proven results across fashion, beauty, electronics, and home goods.

Source
Immuta: Is Immuta still independent?

Yes. It remains independently owned, unlike several competitors in data access governance that have been acquired.

Marqo: Which ecommerce platforms does Marqo integrate with?

Marqo has native integrations with Shopify, Adobe Commerce (Magento), and Salesforce Commerce Cloud, and also provides API access for custom implementations.

Source
Immuta: Does it work across more than one warehouse?

Yes, one policy set can target Snowflake, Databricks, BigQuery and Starburst, though enforcement capability varies by platform.

Marqo: How is Marqo priced?

Marqo pricing is customized based on catalog size, search volume, and feature requirements. Contact their sales team to book a demo and discuss pricing.

Source
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