Organizations today require versatile solutions for diverse workloads. MariaDB Enterprise Platform delivers a comprehensive, multimodal database, seamlessly integrating transactional (OLTP), analytical (OLAP), mixed (HTAP), AI-driven vector search, and semi-structured (JSON) data processing to eliminate silos, accelerate development, and enhance data insights.
By supporting multiple workloads, MariaDB Enterprise Platform allows you to enjoy greater schema flexibility and faster development. By consolidating diverse data needs into a single, robust platform, MariaDB Enterprise Platform enables you to streamline operations, reduce complexity, and unlock the full potential of your data assets.
Supported Database Workload Types
Transactional Workloads (OLTP)
MariaDB Enterprise Platform is the leading production-grade open source database solution for transactional workloads at any scale, from replicated or clustered deployments for read scaling and high availability. Oracle Database compatibility simplifies migration while temporal tables and JSON functions, along with Node.js, Python and reactive Java connectors make modern application development easier and faster than ever.
Enterprise-grade reliability
Ensure business continuity and protect your mission-critical data with high availability features, including zero-interruption failover and online disaster recovery.
Easy development
Simplify application development by providing a user-friendly layer so that developers don’t have to worry about the complexities of the database infrastructure, including failures and topology changes.
Modern SQL
Leverage JSON functions, temporal tables, window functions, common table expressions (CTEs) and user-defined aggregate functions for modern SQL development.
Analytical Workloads (OLAP)
MariaDB Enterprise Platform’s ColumnStore storage engine delivers high performance analytics and data warehouse capabilities enabling interactive, ad hoc queries on hundreds of billions of rows without manual indexing – all with standard SQL and SQL joins. With its cloud-native storage architecture, MariaDB Enterprise Platform provides flexible storage options, including the option to use S3 compatible object storage for cost savings and unlimited scalability.
Large-scale analytics
Analyze massive amounts of data in new, unforeseen ways without having to create an index for every potential query.
Real-time visualization
Create interactive data visualizations and customizable or dynamic reports for real-time exploration of massive datasets.
Data marts for Hadoop
Import data from Hadoop data lakes to create fresh data marts on a regular basis for iterative analysis using standard BI/reporting tools.
Mixed Workloads
MariaDB Enterprise Platform supports hybrid transactional and analytical processing (HTAP) through its smart transactions capabilities, combining row-based and columnar storage for optimal performance. This allows developers to integrate real-time analytics and historical data into applications to deliver fast transactions and insightful analytics, and thus create more insightful customer experiences.
Self-service analytics
Empower your SaaS customers with self-service analytics, enabling them to analyze their own data and gain valuable insights.
Real-time insights
Enable your customers with real-time insights derived from the latest data, allowing them to make informed decisions without waiting for batch updates.
Historical data access
Eliminate the need for a separate data warehouse by providing customers and application developers with direct access to historical data within the same database platform.
Artificial Intelligence and Machine Learning Workloads
By integrating vector embedded search directly into its database engine, MariaDB Enterprise Platform streamlines your data stack, eliminating the need for separate vector databases and reducing complexity. This approach delivers enhanced performance, allowing for fast and efficient similarity searches within a trusted environment.. The seamless integration of vector and traditional SQL operations unlocks powerful new querying possibilities, enabling you to build more sophisticated AI-driven applications.
Simplified data stack
Eliminate the need for separate vector databases, reducing complexity and overhead. This consolidation simplifies data pipelines, reduces latency, and minimizes the risk of data inconsistencies. By integrating vector search within the core database, organizations can leverage their existing infrastructure and expertise, resulting in a more unified and manageable data environment.
Enhanced performance
Experience fast and efficient vector search capabilities within a trusted database environment. This integration optimizes data retrieval and processing, enabling real-time similarity searches and accelerating AI-driven applications. By minimizing data transfer and eliminating the need for external database calls, MariaDB Enterprise Platform delivers superior performance compared to traditional multi-database setups.
Seamless integration
Combine vector embedding search with traditional SQL operations for powerful querying capabilities. This seamless integration unlocks new possibilities for data analysis and application development. Developers can leverage the full power of SQL to perform complex queries that combine structured data with vector embeddings.
Cost-effective
Reduce infrastructure costs and complexity by leveraging your existing MariaDB setup. By eliminating the need for separate vector databases, organizations can avoid the additional hardware, software, and maintenance expenses associated with managing multiple data systems. This approach not only simplifies data architecture but also ensures that AI applications benefit from the reliability and security of a proven enterprise-grade database, resulting in a more cost-efficient solution.
Semi-Structured Data Workloads
MariaDB Enterprise Platform excels at handling semi-structured workloads, particularly those involving JSON data. With its comprehensive set of JSON functions, MariaDB enables efficient processing, querying and manipulation of JSON documents. These functions allow you to extract specific data, modify structures and seamlessly integrate JSON data with traditional relational data. This capability empowers you to build flexible and scalable applications that leverage the power of semi-structured data within an enterprise-grade database environment.
Improved data management
Effectively manage and query both relational and semi-structured data within a single, unified database. This eliminates the need for separate data stores, reducing complexity and ensuring data consistency. By centralizing data management, organizations can streamline operations, improve data governance, and gain a holistic view of their information assets.
Scalability for modern applications
Build scalable applications that can handle growing volumes of semi-structured data, adapting to evolving needs. MariaDB Enterprise Platform’s architecture allows for efficient storage and retrieval of JSON documents, ensuring optimal performance even as data volumes increase. This scalability empowers developers to create applications that can seamlessly adapt to changing business requirements.
Simplified development
MariaDB’s JSON functions streamline working with semi-structured data, making development easier and faster. The rich set of functions simplifies common JSON operations, such as extracting specific data elements, modifying document structures, and performing complex queries. This reduces development time and effort, enabling developers to focus on building innovative applications.
Flexible data handling
Handle a variety of data structures within your database, from traditional relational data to flexible JSON documents. MariaDB Enterprise Platform’s ability to seamlessly integrate JSON data with relational data provides unparalleled flexibility. This allows organizations to adapt to diverse data requirements and build applications that can handle a wide range of data formats.
Efficient JSON processing
Enable fast and efficient processing of JSON documents, improving application performance. MariaDB Enterprise Platform’s optimized JSON processing capabilities ensure rapid data retrieval and manipulation. This translates to improved application responsiveness and a better user experience, particularly for applications that rely heavily on JSON data.
