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A trusted identity provider is a key component to single sign on. AIStor supports both application and user identity through the following integrations.
Active-Active, Multi-Site Replication for Object Storage is a key requirement for mission-critical production environments. MinIO is the only vendor that offers it today. AIStor offers bucket-level granularity and supports both synchronous and near-synchronous replication depending on the architectural choices and rate of change with the data.
In the world of object storage, strong encryption is required just to get a seat at the table. AIStor delivers more with the highest level of encryption alongside extensive optimizations that all but eliminate the overhead typically associated with storage encryption operations.
Protecting data from deletion (accidental or intentional) is a key compliance component that touches every industry. AIStor supports a complete range of functionality including object locking, retention, legal holds, governance, and compliance. AIStor’s bucket and object immutability is Veeam certified and validated by Cohasset Partners for use under SEC Rule 17a-4(f), FINRA Rule 4511, and CFTC Regulation 1.31.
MinIO IAM is built with AWS Identity and Access Management (IAM) compatibility at its core and presents that framework to applications and users no matter the environment - providing the same functionality across varying public clouds, private clouds and the edge. MinIO extends AWS IAM compatibility with support for popular external identity providers such as ActiveDirectory/LDAP, Okta and Keycloak, allowing administrators to offload identity management to their organization’s preferred SSO solution.
As data continues to grow, the ability to co-optimize for access, security and economics becomes a hard requirement, not a nice-to-have. This is the role of lifecycle data management. AIStor offers a unique suite of features to protect data within and across clouds - both public and private.
AIStor's enterprise data lifecycle management tools, including versioning, object locking and the various derivative components, satisfying multiple use cases.
AIStor object versioning ↗ allows the retention of multiple iterations of the same object within a single bucket. When versioning is enabled, operations that would typically overwrite an existing object, such as PUT requests, instead generate a new version of the object, each assigned a unique version ID. This feature is pivotal in preventing accidental overwrites or deletions, essentially offering an "undo" capability for write operations.
MinIO’s Key Management Server (KMS) is a highly available, operationally simple, KMS implementation.
The KMS solves the specific problem of dealing with billions of cryptographic keys that are required for per object encryption.
MinIO's KMS has the ability to deliver predictable behavior, even at the scale of hundreds of thousands of cryptographic operations per node per second while delivering high availability and fault tolerance. It supports multi-tenancy enabling each tenant to be assigned its own enclave which is completely independent and isolated from all other enclaves on the KMS cluster.
AIStor’s built-in Management Console provides a powerful, intuitive web interface for managing large-scale AI data infrastructure, with no separate installation or setup required.
Embedded directly into the MinIO server, the Console works seamlessly across all environments and deployment models.
It delivers comprehensive capabilities for user and data management, security configuration, and operational visibility, while complementing existing tools such as the mc CLI, YAML-based configurations, and operator-driven automation.
AIStor’s Catalog is a high-scale batch framework designed to inventory and analyze petabyte to exabyte-scale namespaces with precision and efficiency.
During each scan, the system filters data in real time and saves only the results that match the defined criteria, making it extremely scalable and resource-efficient.
The output is written in Parquet format, allowing easy integration with standard analytics and query engines. Fully compatible with the Amazon S3 Inventory API, the Catalog delivers the same functionality with enhanced flexibility, richer filtering, and greater performance for enterprise data environments.
AIStor integrates advanced QoS controls directly into the MinIO server to ensure consistent performance and workload fairness across all tenants and applications.
Unlike traditional firewalls that operate at the IP or application layer, AIStor’s S3-aware QoS engine understands object storage semantics to provide fine-grained, policy-based performance isolation.
This integrated capability enables traffic shaping, intelligent request prioritization, and balanced resource utilization, delivering predictable, enterprise-grade performance even under heavy, mixed workloads.
AIStor’s integrated cache delivers intelligent, high-performance acceleration for data-intensive and AI-driven workloads.
Operating as a transparent read-through layer, it automatically serves frequently accessed data from high-speed media while ensuring all writes are durably persisted to disk. The result is consistently low-latency access with full data integrity and no application changes.
The cache works together with Lifecycle Management (ILM) and Quality of Service (QoS) to form a unified performance framework within the AIStor architecture. ILM manages tiered data placement, QoS ensures workload fairness, and the cache accelerates access to active data. Together, they deliver predictable and efficient performance at scale.
AIStor provides a complete observability framework that combines built-in monitoring, external integrations, detailed logging, request tracing, distributed tracing, and advanced profiling.
Metrics: The integrated monitoring console delivers real-time visibility through a live view, while the Prometheus-compatible endpoint enables long-term time series analysis. Organizations can connect AIStor to any Prometheus-compatible monitoring system and visualize trends using tools such as Grafana. Built-in dashboards provide short-term history, while external systems extend observability for continuous, large-scale environments.
Logs: AIStor supports audit, API, and error logs natively. It also integrates seamlessly with third-party log management solutions including Splunk, Elasticsearch, Loki, and other Prometheus-compatible systems, ensuring complete visibility across the data infrastructure.
Trace: Real-time request tracing enables administrators to capture, filter, and analyze S3 API activity as it flows through the system. It provides detailed insights for troubleshooting, performance optimization, and auditing at the request level.
OpenTelemetry: Built-in OpenTelemetry support provides deep visibility into system behavior through distributed tracing and structured logging. Administrators can trace activity across APIs and components to understand performance and dependencies in real time.
Profiling: Advanced profiling APIs enable CPU and network profiling directly within AIStor, offering precise diagnostics and performance tuning for enterprise workloads.
Together, these capabilities provide deep operational insight, helping administrators monitor, analyze, and optimize every layer of their AI-scale storage environment.
S3 compatibility is a hard requirement for cloud-native applications. AIStor is unyielding in its adherence to the API and with tens of thousands of users - both commercial and community - AIStor’s S3 implementation is the most widely tested and implemented alternative to AWS S3 in the world.
One of the earliest adopters of the S3 API (both V2 and V4) and one of the only storage companies to focus exclusively on S3, MinIO’s massive community ensures that no other AWS alternative is more compatible. AIStor is also one of the few companies to support S3 Select.
The promptObject API enables users to “talk” to unstructured objects in the same way one would engage an LLM moving the storage world from a PUT and GET paradigm to a PUT and PROMPT paradigm. Applications can use promptObject through function calling with additional logic. This can be combined with chained functions with multiple objects addressed at the same time.
This means that application developers can exponentially expand the capabilities of their applications without requiring domain-specific knowledge of RAG models or vector databases. This will dramatically simplify AI application development while simultaneously making it more powerful.
Support for S3 over Remote Direct Memory Access (RDMA): enables customers to take full advantage of their high-speed (400GbE, 800GbE, and beyond) Ethernet investments for S3 object access by leveraging RDMA’s low-latency, high-throughput capabilities, and provides performance gains required to keep the compute layer fully utilized while reducing CPU utilization. Open to customers under private preview.
MinIO events send notifications to external services such as Kafka or RabbitMQ for certain object or bucket events. MinIO supports bucket and object-level S3 events similar to the Amazon S3 Event Notifications. With support of both Asynchronous and Synchronous delivery, event notifications are perfect for ETL scenarios.
Using Object Lambda, once the data is in your pipeline, you can scrub sensitive information by transforming the objects as needed for your use case, such as redacting personally identifiable information (PII), enriching data with information from other sources, or converting between formats, just like the AWS S3 Lambda function.
