Additional Resources
Comprehensive setup guides, API references, and technical tutorials to help you build and integrate faster.
Product updates, industry insights, and practical tips written directly by our teams.
Download MariaDB products and tools for development and production
MariaDB Community Server is a fully featured open source relational database providing modern SQL capabilities, instant schema changes, JSON support, and robust Oracle Database compatibility. It includes:
# One-line curl:
curl -LsS https://r.mariadb.com/downloads/mariadb_repo_setup | sudo bash -s -- --mariadb-server-version=12.3
# Multi-line
curl -LsSO https://r.mariadb.com/downloads/mariadb_repo_setup
chmod +x mariadb_repo_setup
sudo ./mariadb_repo_setup --mariadb-server-version=12.3
MariaDB Kubernetes Operator is a declarative automation tool for provisioning and managing MariaDB Server and MaxScale database proxy deployments natively within Kubernetes. It eliminates the need for manual scripting by utilizing declarative configurations to establish robust high availability (HA/DR) and disaster recovery architectures.
MariaDB MCP Server is a community-supported integration tool that bridges MariaDB databases with generative AI applications via native Model Context Protocol (MCP) support. It combines traditional SQL operations with advanced database vector search to enable seamless retrieval-augmented generation (RAG) workflows featuring explicit OpenAI and HuggingFace integration.
MariaDB Migration Tool is an automated database transition utility designed to evaluate, plan, and execute secure migrations from existing MySQL environments to MariaDB. It features scriptable YAML workflows, automated risk assessments, and four flexible cutover pathways—including near-zero downtime replication to preserve high availability (HA/DR) during the transition.
MariaDB AI RAG is an integrated database vector search and retrieval-augmented generation workflow embedded directly within the MariaDB core. It streamlines the entire process from data ingestion and embedding to advanced search and re-ranking, featuring explicit OpenAI and HuggingFace integration.
Get started with a 30-day AI RAG trial.
MariaDB MaxScale is an advanced database proxy and intelligent routing layer that sits seamlessly between your applications and your backend database infrastructure. It operates as a dynamic load balancer that provides automated failover for robust high availability (HA/DR), transparent read/write splitting, and enhanced database security without requiring any application code changes.
Get started with a 30-day MaxScale trial.
MariaDB Enterprise Server is a rigorously tested, highly secure relational database designed for production environments. It delivers enterprise-grade security, JSON support, and Oracle Database compatibility, all pre-configured for immediate operational efficiency. It includes:
MariaDB MaxScale is an advanced database proxy and intelligent query router that serves as a core infrastructure component of the MariaDB Enterprise Platform. It delivers automatic failover for robust high availability (HA/DR) and dynamic workload-based routing to seamlessly support hybrid transactional/analytical processing (HTAP).
Looking to evaluate MaxScale? Download the free evaluation build under Trials.
MariaDB Advanced Cluster is a high-availability solution built on the Raft consensus algorithm that utilizes a single-leader replication model to coordinate and resolve cluster-wide conflicts. It significantly reduces write latency by requiring only a majority of nodes to acknowledge a commit, establishing highly efficient high availability (HA/DR) and automated fault tolerance for globally distributed applications.
MariaDB Enterprise AI RAG is an integrated database vector search and retrieval-augmented generation workflow embedded directly within the MariaDB Enterprise Server core. It streamlines the entire process from data ingestion and embedding to advanced search and re-ranking, and seamlessly pairs with the MariaDB Enterprise MCP Server to empower AI agents with explicit OpenAI and HuggingFace integration.
MariaDB Enterprise Manager is a comprehensive observability and management solution designed to monitor and administer your entire relational database fleet from a single, centralized interface. It provides advanced, topology-aware monitoring and a robust suite of visual tools for query development and schema management to proactively maintain optimal performance and high availability (HA/DR).
MariaDB Enterprise Kubernetes Operator is a declarative automation tool for provisioning and managing MariaDB Enterprise Server, MariaDB Enterprise Cluster, and MariaDB MaxScale database proxy deployments natively within Kubernetes. It eliminates the need for manual scripting by leveraging declarative configurations to establish secure, robust high availability (HA/DR) and disaster recovery architectures for mission-critical relational databases.
MariaDB Enterprise MCP Server is a secure integration tool that bridges enterprise MariaDB databases with generative AI applications via native Model Context Protocol (MCP) support. It combines traditional SQL operations with advanced database vector search to enable seamless retrieval-augmented generation (RAG) workflows featuring explicit OpenAI and HuggingFace integration.
MariaDB Cloud is a fully managed database-as-a-service (DBaaS) that delivers the complete capabilities of MariaDB Server natively across Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. It empowers organizations with the choice between provisioned environments for consistent workloads and true serverless architectures for on-demand elastic scaling, featuring built-in AI integrations and automated multi-region high availability (HA/DR).
MariaDB Connector/C is an LGPL-licensed native client library designed to seamlessly connect C and C++ applications directly to MariaDB databases. It features asynchronous, non-blocking APIs, robust bulk operation support, and comprehensive encryption options via TLS/SSL for secure data transit.
MariaDB Connector/J is an LGPL-licensed, Type 4 JDBC driver that provides seamless, high-performance connectivity between Java applications and MariaDB databases. It features explicit compatibility with Java 8, 11, 17, and 21, and includes built-in connection pooling alongside robust TLS/SSL encrypted connections for secure deployments.
MariaDB Connector/ODBC is an LGPL-licensed, standard ODBC 3.5 driver designed to facilitate seamless cross-platform integration between generic ODBC-compliant applications and MariaDB. It ensures high-performance data access and secure data transmission through comprehensive support for encrypted connections via TLS/SSL.
MariaDB Connector/Python is an LGPL 2.1-licensed, native database driver fully compliant with the Python DB API 2.0 specification for connecting Python applications to MariaDB. Written natively in C to maximize performance, it excels at executing high-speed bulk inserts, updates, and deletes for data-intensive processing workloads.
MariaDB Connector/Node.js is an LGPL-licensed module specifically engineered to connect modern Node.js applications to MariaDB databases. It delivers exceptional throughput by providing both promise and callback APIs for asynchronous, non-blocking data access, alongside advanced query pipelining to reduce network latency.
MariaDB Connector/C++ is an LGPL-licensed, object-oriented client library designed to natively connect C++ applications to MariaDB databases. It provides a robust set of advanced database functions and guarantees secure data transmission through integrated TLS/SSL encrypted connections.
MariaDB Connector/R2DBC is an Apache 2.0-licensed, 100% Java database driver designed specifically to support reactive programming paradigms on top of MariaDB. It fully complies with R2DBC specifications and offers broad compatibility with Java 8+ environments to enable highly scalable, non-blocking asynchronous data access.
Comprehensive setup guides, API references, and technical tutorials to help you build and integrate faster.
Product updates, industry insights, and practical tips written directly by our teams.