Immuta

Basic Information

Immuta Data Security Platform is a comprehensive solution designed to enable secure access to data for analytics and data science, focusing on data governance, privacy compliance, and secure data sharing.

• Model: Data Security Platform
• Version: Immuta v2025.1 (LTS) is a recent Long Term Support release, with patch releases such as v2025.1.8. Other recent major versions include v2024.3 and v2024.2 (LTS).
• Release Date: Immuta v2025.1 was released around October 2025. Immuta v2024.2.19 was released on May 16, 2025. Immuta v2024.3 was released around October 2025.
• Minimum Requirements: Immuta relies on a Kubernetes environment (versions 1.29 to 1.32), a PostgreSQL database (version 15.0 or newer with the pgcrypto extension enabled), and optionally Elasticsearch (v7 API or newer, or AWS OpenSearch Service compatible with Elasticsearch v7 API or newer).
• Supported Operating Systems: Immuta itself runs on Kubernetes within major cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). It integrates with various data platforms hosted on these environments.
• Latest Stable Version: Immuta v2025.1.8 is a recent patch release for the 2025.1 LTS version.
• End of Support Date: For Long Term Support (LTS) releases, the end of support date is one year after the general availability date. For other major releases, it is typically one month after the next release, which is approximately four months after the general availability date.
• End of Life Date: Not explicitly defined as a separate "end of life" date, but aligns with the end of support policy.
• Auto-update Expiration Date: Not explicitly stated, but SaaS deployments benefit from automatic software updates.
• License Type: Subscription-based, non-exclusive, non-sublicensable, non-transferable license. Pricing is custom and depends on factors like data volume, number of users, and desired features.
• Deployment Model: Available as a Software-as-a-Service (SaaS) offering, which is Immuta-hosted, or as a Self-Managed deployment for on-premises or private cloud environments (e.g., VPCs on AWS, Azure, GCP).

Technical Requirements

• RAM: Not specified directly for Immuta itself, but depends on the underlying Kubernetes cluster and database sizing. PostgreSQL and Elasticsearch sizing recommendations are based on the number of registered data sources and users.
• Processor: Not specified directly, dependent on the underlying Kubernetes cluster resources.
• Storage: Requires external PostgreSQL and Elasticsearch for state storage. Sizing recommendations for Elasticsearch/OpenSearch assume approximately 1 million events per day with a 90-day data retention policy.
• Display: Standard web browser for UI access.
• Ports: Not specified, but standard network connectivity for Kubernetes, database, and web access is implied.
• Operating System: Immuta runs on Kubernetes, which can be deployed on various cloud provider operating systems (e.g., Amazon Linux, Ubuntu, Windows Server for AWS; Azure Linux, Windows Server for Azure; Container-optimized OS for GCP).

Analysis of Technical Requirements

Immuta is designed as a cloud-native platform, leveraging containerization and orchestration technologies like Kubernetes. This architecture offloads direct hardware management to the cloud provider or the customer's existing Kubernetes infrastructure. The core requirements revolve around a robust Kubernetes cluster, a scalable PostgreSQL database, and an optional but recommended Elasticsearch/OpenSearch instance for auditing and advanced features. This distributed model allows for significant scalability and resilience, but requires expertise in managing these underlying components for self-managed deployments. The platform's resource consumption scales with the volume of data sources and users.

Support & Compatibility

• Latest Version: Immuta v2025.1.8, a patch release for the 2025.1 LTS.
• OS Support: Immuta integrates with leading cloud data platforms including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). It supports various data platforms such as Amazon Athena, Amazon EMR Spark, Amazon Redshift, Azure Synapse Analytics, Databricks (Unity Catalog and Spark), Google BigQuery, MariaDB, Oracle, PostgreSQL, Snowflake, SQL Server, Starburst (Trino), and Teradata. Supported web browsers include Firefox, Google Chrome, and Microsoft Edge.
• End of Support Date: LTS versions receive bug fixes and security updates for one year after general availability. Other major releases are supported for approximately four months after general availability.
• Localization: Immuta SaaS tenants are deployed into global segments across various cloud provider regions (e.g., Europe, Asia Pacific) to help organizations meet data locality compliance needs.
• Available Drivers: Immuta integrates natively with supported data platforms, pushing policies down to them. It also provides a Command Line Interface (CLI) for management.

Analysis of Overall Support & Compatibility Status

Immuta demonstrates strong compatibility with a wide array of modern cloud data platforms and services, which is crucial for its role as a data security and access control layer. Its support for major cloud providers (AWS, Azure, GCP) and numerous data warehouses/lakes ensures broad applicability. The release lifecycle, with annual LTS versions, provides predictability for enterprise deployments. While the UI supports standard web browsers, specific localization for the user interface is not detailed, but data locality is addressed through global SaaS segments. The platform's integration-centric approach means it leverages existing data platform capabilities rather than requiring proprietary drivers for data access.

Security Status

• Security Features: Sensitive data discovery and classification, dynamic query classification, vulnerability risk assessment, dynamic data masking, attribute-based access controls (ABAC), policy as code, unified audit logging, data activity monitoring, and privacy-enhancing technologies (PETs). It enforces policies at the data layer and follows the NIST Zero Trust framework.
• Known Vulnerabilities: Immuta regularly addresses vulnerabilities, with release notes detailing patched CVEs (e.g., CVE-2024-37890, CVE-2024-39338, CVE-2025-1302, CVE-2024-57065, CVE-2025-25200).
• Blacklist Status: Not explicitly referred to as a "blacklist," but Immuta's policy enforcement capabilities allow for granular control and restriction of access based on defined rules and attributes.
• Certifications: Immuta has achieved ISO 27001, ISO 27701, and SOC 2 Type 2 certifications, validating its commitment to information security and privacy management.
• Encryption Support: Supports encryption of sensitive information, such as REST catalog passwords. Data encryption is a key component of its data security offerings.
• Authentication Methods: Supports industry-standard IAM protocols including AD/LDAP, SAML 2.0, and OpenID Connect 1.0.
• General Recommendations: Immuta emphasizes continuous monitoring, proactive policy updates, and the use of its platform for Data Security Posture Management (DSPM).

Analysis on the Overall Security Rating

Immuta demonstrates a robust security posture, backed by multiple industry certifications (ISO 27001, ISO 27701, SOC 2 Type 2) and a comprehensive suite of security features. Its core strength lies in dynamic, fine-grained access control, sensitive data discovery, and continuous monitoring, which are critical for modern cloud data environments. The platform's ability to enforce policies at the data layer, integrate with various identity providers, and regularly address vulnerabilities through updates indicates a strong commitment to security. The focus on "policy as code" and attribute-based access control (ABAC) enhances scalability and reduces human error in managing data access.

Performance & Benchmarks

• Benchmark Scores: Not explicitly provided in standard benchmark formats (e.g., SPEC, TPC).
• Real-world Performance Metrics: Immuta claims to help organizations achieve 100x faster data access and reduce the number of required policies by 93x. It aims to speed up data access, decrease policy management complexity, and improve cloud ROI.
• Power Consumption: Not applicable as a software platform; power consumption depends on the underlying cloud infrastructure.
• Carbon Footprint: Not applicable as a software platform; carbon footprint depends on the underlying cloud infrastructure.
• Comparison with Similar Assets: User reviews on G2 compare Immuta favorably against competitors like K2View and Okera. Immuta excels in data discovery (9.7/10), multi-platform support (9.3/10), metadata management (9.0/10), data analytics (9.3/10), compliance (9.0/10), data protection (9.7/10), dynamic data masking (9.5/10), and user access management (9.4/10). It is also noted for its ease of use (8.5/10) and quality of support (9.0/10). Some comparisons suggest competitors might have higher scores in ease of setup or database management in specific contexts.

Analysis of the Overall Performance Status

Immuta's performance is primarily measured by its efficiency in data access governance and policy enforcement rather than raw computational speed. The platform's claims of significantly faster data access and drastically reduced policy count highlight its operational efficiency and scalability benefits for large, complex data environments. User feedback generally supports these claims, praising its ability to streamline data access flows and manage data securely at scale. While direct hardware-level benchmarks are not relevant, the platform's architectural design, which pushes policies down to native data platforms, minimizes performance overhead. Its strong ratings in data discovery, masking, and compliance management in competitive analyses further underscore its effective performance in its specialized domain.

User Reviews & Feedback

User reviews and feedback for Immuta are generally positive, highlighting several key strengths and addressing some areas for improvement.

Strengths:

• Robust Data Access Framework: Users appreciate Immuta's ability to implement a robust data access framework in an easy-to-use way, managing data securely and at scale.
• User-Friendly Interface: The platform is often described as having a user-friendly interface and intuitive menus, making it easy to manage.
• Integration Capabilities: Immuta integrates easily with various data platforms, such as Snowflake, and is highly useful for managing user access to datasets.
• Policy Management: The "policy as code" approach and the ability to apply global policies based on tags are highly valued, significantly reducing the number of policies needed and simplifying governance. The built-in feature column detection and auto-tagging are also praised for automatically applying governance to thousands of columns.
• Dynamic Data Masking and Discovery: Immuta excels in data discovery and dynamic data masking, allowing for flexible data protection strategies and quick identification/classification of sensitive data.
• Compliance: The platform is highly regarded for its compliance features, particularly for regulations like GDPR and CCPA.
• Quality of Support: Many reviewers praise the responsiveness and helpfulness of Immuta's support team.

Weaknesses:

• Pricing: Some users mention that the cost can be a concern, suggesting that pricing could be more flexible or geographically based.
• Setup Complexity (Self-Managed): The configuration and setup of the Helm chart for self-managed deployments can have "tricky bits and gaps," indicating a steeper learning curve for initial configuration compared to SaaS.
• Product Direction: One review noted some concerns about the product's future updates, though this is not a widespread sentiment.

Recommended Use Cases:

Immuta is highly recommended for organizations dealing with large volumes of data in cloud environments, especially those with strict data governance, privacy, and compliance requirements (e.g., GDPR, CCPA, HIPAA). It is ideal for implementing robust data access frameworks, streamlining data access flows and approvals, and managing sensitive information across various data centers and platforms. It is particularly beneficial for data teams looking to automate data discovery, classification, policy enforcement, and monitoring to accelerate data science and analytics initiatives while mitigating risk.

Summary

The Immuta Data Security Platform is a leading solution for enterprise data access control and governance, designed to enable safe and compliant data utilization in cloud-native environments. It provides a comprehensive suite of capabilities including sensitive data discovery and classification, dynamic policy enforcement, and continuous data activity monitoring.

Key Strengths: Immuta's primary strengths lie in its ability to automate fine-grained access control across diverse data platforms, significantly reducing the manual effort and complexity associated with data governance. Its "policy as code" approach, coupled with attribute-based access controls and dynamic data masking, allows organizations to define policies once and apply them consistently across thousands of data assets. The platform's strong integration with major cloud providers (AWS, Azure, GCP) and a wide array of data warehouses/lakes ensures broad compatibility. Immuta's commitment to security is validated by its ISO 27001, ISO 27701, and SOC 2 Type 2 certifications, and its regular addressing of vulnerabilities. Users consistently praise its intuitive interface, robust support, and effectiveness in meeting compliance objectives.

Weaknesses: While highly effective, some users note that Immuta's pricing model can be a consideration, and the initial setup for self-managed deployments, particularly with Helm charts, may present some complexity.

Recommendations: Immuta is an excellent choice for enterprises seeking to accelerate data-driven initiatives while maintaining stringent data security and privacy. It is particularly well-suited for organizations operating in regulated industries or managing large, distributed datasets across multiple cloud platforms. For optimal deployment, organizations should consider their existing cloud infrastructure and internal expertise in Kubernetes and database management, especially for self-managed options. Engaging with Immuta's support and professional services can help mitigate initial setup challenges and maximize the platform's benefits. The platform's continuous development, including new features like Immuta Discover for automated tagging and classification, ensures it remains at the forefront of data security.

The information provided is based on publicly available data and may vary depending on specific device configurations. For up-to-date information, please consult official manufacturer resources.