Data Dynamics
Partners

MinIO

As a MinIO partner, Data Dynamics supports S3-compatible object storage adoption for enterprise data and AI workloads.

MinIO AIStor object storage

MinIO AIStor provides object storage through S3-compatible APIs. Store documents, images, logs, analytical datasets and model artifacts on infrastructure you manage, and connect them to processing engines, AI pipelines and business applications. Data Dynamics helps define the configuration, delivery and operating support appropriate to your environment.

  • Object access through S3-compatible APIs
  • A shared storage foundation for analytics, AI and applications
  • Erasure coding, versioning and object locking
  • Protection and recovery planning with replication and retention

Shared object storage for data and AI

Store files, documents, images and analytical data through S3-compatible APIs, then use them with your engines and applications.

MinIO foundation: data stored in AIStor via the S3 API is used independently by analytics engines and AI/applications.
S3 access, storage nodes, security integrations, analytical metadata and consuming engines. Node and drive counts illustrate a topology, not a sizing recommendation.Select the illustration to enlarge it. Read the numbered explanations below.

  1. Store data

    Store business files, documents, images, logs and analytical datasets as objects.

  2. MinIO AIStor

    Organize object storage access and operations around S3-compatible APIs and buckets.

  3. Connect analytics

    Validate supported connectors and table formats for engines such as Spark and Trino.

  4. Enable AI and applications

    Store training data, model artifacts and retrieval source documents for AI pipelines and business applications.

S3 compatibility does not mean identical behavior across every service and API. Validate required APIs, authentication and network paths in a PoC.

Official documentation

Key use cases

Data lakes and lakehouses

Store analytical files and open-table-format data files, connected to compatible catalogs and query engines.

S3 APISpark · TrinoIceberg

AI data foundation

Store training datasets, source documents, images and model artifacts for AI processing and retrieval pipelines.

Training dataModel artifactsDocuments · Images

Retention and backup storage

Integrate supported backup tools and configure versioning and retention. Validate recoverability with actual procedures.

VersioningObject LockRecovery validation

Four complementary layers of data protection

Device failures, accidental changes, retention requirements and site failures call for different controls.

Four complementary layers of data protection — Erasure coding · Versioning · Object lock · Replication
Compare erasure-code shards and quorum, object versions, lock modes and site replication. Counts illustrate one configuration, not recommended sizing or guaranteed fault tolerance.Select the illustration to enlarge it. Read the numbered explanations below.

  1. Erasure coding

    Distribute data and parity shards to tolerate device failures. Tolerance depends on the deployment configuration.

  2. Versioning

    Preserve object versions in enabled buckets and recover the version you need.

  3. Object lock

    Restrict object-version deletion and modification according to retention periods and lock modes.

  4. Replication

    Replicate to separate clusters or sites, and verify recovery objectives and procedures.

Replication does not replace independent backups or recovery drills. Design RPO/RTO, delete propagation, retention, access control and recovery validation together.

Official documentation

Plan around your actual workload

Define scope using data requirements and operating conditions, not a feature checklist alone.

Workload and capacity

Review object sizes and counts, read/write mix, throughput, growth and retention.

Protection and recovery

Separate the roles of failure domains, parity, versioning, locks, replication and independent backups.

Integration validation

Validate S3 API compatibility, authentication, encryption, networking and recovery procedures in a PoC.

MinIO adoption support from Data Dynamics

Adoption planning

Work with a MinIO partner to clarify product and procurement requirements.

  • Workload and capacity assessment
  • Product, subscription and support scope
  • Configuration and cost review

Deployment and integration

Define deployment scope around your infrastructure and data-tool integration requirements.

  • Storage and network planning
  • S3 client and processing-engine integration
  • Identity, access and encryption review

Operations and knowledge transfer

Validate protection policies and procedures, and support your internal operating capability.

  • Monitoring and capacity planning
  • Retention, replication and recovery validation
  • Operator training scope
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