Satori review

Satori is a data access governance platform: it controls who can reach sensitive data and what they can do with it. The product description says it works across cloud, on-premises, and hybrid environments, applying access policies based on identity, role, attributes, and context.

Its main distinction is runtime enforcement. Satori evaluates queries as they happen and can mask fields, filter records, or restrict access without changing the underlying schemas, queries, or applications. That makes it a control layer for existing data environments, rather than a replacement for the databases or applications themselves.

The platform also scans and classifies data to identify sensitive information, supports approval workflows for just-in-time access, and logs access with context for audits and investigations. Those capabilities put Satori in the data security and governance category, not general-purpose analytics or SEO software.

Satori’s strongest case is policy enforcement across a mixed data environment. The product description says policies can use identity, role, attributes, and context, and apply across data stores. That gives teams more control than relying only on static permissions, especially when different users need different access to the same underlying data.

Runtime controls are another practical strength. Satori can mask or redact sensitive fields and enforce row-level security without requiring changes to schemas, queries, or applications, according to the published product details. That could reduce the amount of application-side work needed to apply consistent rules, though the sources do not specify supported data platforms or implementation requirements.

The listed feature set also covers the surrounding governance workflow:

• Data discovery scans and classifies sensitive data to help identify risk.
• Just-in-time access uses approval workflows instead of leaving permissions permanently open.
• Audit logging captures access context for investigations and audits.

Together, these controls make Satori look most relevant for organizations that need centralized access rules and visibility across multiple data stores. The value depends on how well its policies fit the organization’s data environment; the published information does not establish specific integrations or deployment effort.

Price is the main barrier. The pricing information, checked November 7, 2026, lists Small at $1,666.67 per month, billed annually, with a cap of 3 data stores and 50,000 fields. Medium is $4,166.67 per month for 10 stores and 100,000 fields; Large is $8,333.33 for 25 stores and 250,000 fields; and XL is $25,000 for 100 stores and 1,000,000 fields. Monthly billing rates are not published, and the pricing data is marked medium confidence.

Those caps make it important to count both stores and fields before comparing plans. The ELA tier covers more than 100 stores and more than 1,000,000 fields, but its price is not published. The listed pricing shows no free plan; trial availability is not published. No add-ons are listed in the published pricing information.

There is also limited detail here for evaluating fit: supported platforms, setup requirements, and how policy behavior varies by data source are not specified. At these prices, teams should get those answers and a tailored quote before treating the entry tier as a realistic switching cost.

The pricing page lists Small at $1,666.67 per month on annual pricing, covering 3 data stores and 50,000 fields. Medium costs $4,166.67 per month for 10 stores and 100,000 fields; Large is $8,333.33 for 25 stores and 250,000 fields. XL reaches $25,000 per month for 100 stores and 1 million fields. Monthly rates are not published, so there’s no listed month-to-month price to compare.

The jumps are substantial: Small to Medium adds $2,500 monthly, while Large to XL adds $16,666.66. Check both your store count and field count before choosing a tier; exceeding either limit could push you up a plan. Enterprise License Agreement pricing is not published and is for deployments above 100 stores or 1 million fields. No add-ons are listed. Satori has no free plan; a free trial is not listed. The listed figures use annual pricing, so confirm the payment schedule and renewal terms with Satori before signing.

Satori says it evaluates queries in real time and can apply masking, filtering, or access restrictions without changing schemas, queries, or applications. That may reduce the need for application-side changes, but it doesn’t establish how much work it takes to connect data stores, map identities, or recreate existing policies. Those migration details aren’t published in the material available for this review.

Before switching, compare your data-store and field counts with the plan caps, and ask how policies, classifications, and audit records are imported or exported. The published information doesn’t specify export formats, offboarding steps, or whether those records can be transferred to another platform. Replacing runtime masking and row-level controls may also mean rebuilding equivalent controls elsewhere. The tier prices make cost a plausible reason to reconsider Satori as data estates grow, but we don’t have Reddit posts or comments here to verify why users leave. Ask Satori for a migration and exit plan before committing.