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Ubiq Dynamic Data Masking
San Diego, California, United States
What it is
Ubiq Dynamic Data Masking protects sensitive data by deciding what an identity receives when it requests a value. Depending on the requesting identity, application, service account, API, or workflow, that value can be returned as cleartext, partially or fully masked, tokenized, format-preserving protected, or encrypted. Sensitive values can remain encrypted, tokenized, or format-preserving at rest while policy determines the runtime result. Ubiq supports both permanently masked copies for development, testing, vendor, and analytics use, and runtime decisions for production access. Integrations are available through SDKs, APIs, SQL UDFs, and database and data warehouse connections; the catalog lists 49+ integrations, including PostgreSQL, MongoDB, Snowflake, Databricks, Power BI, and Tableau. Ubiq says it deploys inside the customer’s environment, does not sit between applications and databases as a masking proxy, and can protect data without schema changes where applicable. Customers can bring their own HSM or KMS to retain key control. Enterprise Edition pricing is usage-based through a private offer; additional AWS infrastructure costs may apply. A 30-day trial is listed, and there is no free plan.
For and against
For
- Applies identity-based outcomes to the same protected value.
- Supports static masked copies and runtime production decisions.
- Connects through SDKs, APIs, SQL UDFs, and integrations.
- Customers can bring their own HSM or KMS.
- Deploys inside the customer’s environment.
Against
- There is no free plan.
- Enterprise Edition pricing is available through a private offer.
- Additional AWS infrastructure costs may apply.
- Schema-independent protection is stated only where applicable.
The verdict
Ubiq offers multiple data-protection outcomes governed by identity and runtime policy, with static and dynamic use cases. Teams should clarify private-offer terms and possible AWS infrastructure costs before proceeding.
Who it suits
Ubiq Dynamic Data Masking suits teams protecting sensitive data across customer support, analytics, databases, development, or AI workflows. It may fit organizations that want identity-based controls and customer-managed key options.
Plans and prices
Ubiq Enterprise Edition
Private offer; usage-based pricing; unit count and terms depend on agreed scope
Read 3 Oct 2026 · aws.amazon.com
On the record
- Architecture
- Ubiq says it does not sit between applications and databases as a masking proxy and supports protection without database schema changes where applicable.ubiqsecurity.com · read 3 Oct 2026
- At-rest protection
- Sensitive values can remain encrypted, tokenized, or format-preserving at rest while policy determines the runtime outcome.ubiqsecurity.com · read 3 Oct 2026
- Customer-managed keys
- Ubiq says customers can bring their own HSM or KMS so key control stays with their team.ubiqsecurity.com · read 3 Oct 2026
- Deployment and data location
- Ubiq says it deploys inside the customer’s environment and applies protection in supported application, API, database, warehouse, analytics, streaming, and AI data paths.ubiqsecurity.com · read 3 Oct 2026
- Identity-based masking
- The same protected value can resolve to a full, partially masked, fully masked, tokenized, or protected value based on the requesting identity, application, service account, API, or workflow.ubiqsecurity.com · read 3 Oct 2026
- Integration catalog
- The catalog lists 49+ integrations, including Okta, Microsoft Entra ID, PostgreSQL, MongoDB, Snowflake, Databricks, Apigee, Kong, Power BI, Tableau, and Qlik.ubiqsecurity.com · read 3 Oct 2026
- Integration methods
- The product integrates through SDKs, APIs, SQL UDFs, and database and data warehouse integrations.ubiqsecurity.com · read 3 Oct 2026
- Pricing
- The AWS Marketplace listing describes usage-based pricing and says the Enterprise Edition is structured through a private offer; additional AWS infrastructure costs may apply.aws.amazon.com · read 3 Oct 2026
- Static and dynamic modes
- Ubiq supports permanently masked copies for development, test, vendor, and analytics use, as well as runtime decisions for production access.ubiqsecurity.com · read 3 Oct 2026
- Support contact
- Ubiq directs users to contact technical support at [email protected].ubiqsecurity.com · read 3 Oct 2026
- What it does
- Ubiq protects sensitive data and decides at runtime whether each identity receives cleartext, masked, tokenized, format-preserving protected, or encrypted data.ubiqsecurity.com · read 3 Oct 2026
- Who it is for
- The product describes use cases for customer support, analytics and BI, databases and warehouses, development and test environments, insider-risk reduction, and AI, RAG, and agents.ubiqsecurity.com · read 3 Oct 2026
The review
Ubiq Dynamic Data Masking protects sensitive data for teams that need access to vary by identity, application, or workflow. It is best suited to organizations working across production systems and nonproduction copies, where one masking rule cannot serve every use case. Its runtime policy and deployment options are compelling, but custom private-offer terms and possible AWS infrastructure costs deserve attention.
Overview
Ubiq can return cleartext, masked, tokenized, format-preserving protected, or encrypted data depending on the requester and policy. This makes it a strong fit when support staff, analysts, services, and applications need different views of the same underlying value. Teams seeking a single, permanently anonymized export rather than identity-aware production access may not need its broader approach.
Protection can remain in place at rest, with policy deciding what a requester receives at runtime. Ubiq also supports permanently masked copies for development, testing, vendors, and analytics. That combination addresses both ongoing access control and safer secondary datasets, rather than treating masking as only a one-time database export.
Key features
Integration options include SDKs, APIs, SQL UDFs, and database and warehouse integrations. The catalog names more than 49 integrations, including Okta, Microsoft Entra ID, PostgreSQL, MongoDB, Snowflake, Databricks, Apigee, Kong, Power BI, Tableau, and Qlik. That breadth can help teams connect identity systems, data stores, and analytics tools, though the practical fit depends on their particular supported paths.
Ubiq says it does not operate as a proxy between applications and databases, and can protect data without schema changes where applicable. It also says it deploys within the customer’s environment and can protect supported application, API, database, warehouse, analytics, streaming, and AI data paths. Customers can bring their own HSM or KMS, keeping key control with their team. These choices will matter most to organizations with deployment and key-management requirements; support remains dependent on the relevant integrations and paths.
Activity monitoring, access governance, audit reporting, data masking, and threat detection are included in the product’s stated capabilities. Together, they make Ubiq more than a masking utility for teams that need to govern and review sensitive-data access.
Pricing
Ubiq is paid software with a 30-day trial and no free plan. The AWS Marketplace describes usage-based pricing, while the Enterprise Edition is arranged through a private offer. Its price, unit count, and terms depend on agreed scope, and additional AWS infrastructure costs may apply. Buyers should confirm both the offer and infrastructure costs before committing.
- Ubiq Enterprise Edition: Custom pricing through a private offer, with usage-based pricing and scope-dependent terms. It is the relevant option for organizations evaluating Ubiq’s enterprise capabilities; the absence of a published rate makes advance budget comparison harder.
Platforms
Ubiq lists Android, iOS, Linux, macOS, Windows, API, web, and self-hosted support, with hybrid deployment. Its broad platform footprint may suit mixed environments, but platform presence alone does not establish that every integration or data path is supported.
Who it's for
Ubiq is aimed at organizations protecting customer-support workflows, databases and warehouses, analytics and BI, development and test environments, and AI, RAG, and agent workflows. It is also positioned for insider-risk reduction. Teams that need identity-dependent outcomes across several data uses have the clearest reason to consider it; buyers with a narrow need for open-source anonymization or a no-cost tool should compare simpler alternatives.
Pros and cons
- Pro: Multiple runtime outcomes let teams tailor the same protected value to different identities and workflows.
- Pro: Static masked copies and runtime decisions cover both nonproduction data sharing and production access.
- Pro: SDK, API, SQL UDF, and broad integration options can connect protection with existing data and identity systems.
- Pro: Customer-managed HSM or KMS support keeps key control with the customer.
- Con: Enterprise pricing is a private, usage-based offer, so buyers cannot compare a standard published price.
- Con: AWS infrastructure costs may be additional, complicating the total-cost estimate.
Alternatives
Choose MySQL instead if a freemium database with a free Community Edition is the priority. Choose DataVeil if a free Community License for databases up to 10GB better suits the masking need. DSGuard is another freemium, self-hosted option with a free Community Edition.
Greenmask is a free open-source utility for logical database dumping, anonymization, synthetic data generation, and restoration. Oracle Cloud Infrastructure Secret Management is a free option centered on secret management. Trellix Data Loss Prevention is a paid alternative for enterprise DLP across endpoints, email, web, networks, and data storage, with on-premises or SaaS management. AI Tech Secure Database Security is another paid option. DATASKOPE offers custom pricing.
Browse more options in Database Security Software.
Verdict
Ubiq is a strong choice for organizations that need identity- and policy-dependent protection across production access and masked nonproduction data. Its range of runtime outcomes, deployment approach, and integration methods are the main reasons to choose it. Look elsewhere if predictable published pricing or a free plan is essential, and confirm private-offer scope and any AWS infrastructure charges before proceeding.