Description
MariaDB AI Platform is designed to power generative AI applications with its high-performance vector search and seamless LLM integration. Built on the trusted MariaDB database, it offers a simplified enterprise platform that eliminates the need for fragmented toolchains. This platform allows developers to build production-grade AI applications quickly by providing native connectivity and performance. With a serverless architecture, MariaDB Cloud scales compute and storage instantly to meet the unpredictable demands of AI workloads, ensuring cost efficiency by charging only for used resources.
The platform's unified approach reduces risks associated with data movement between services, maintaining data security within the database environment. By processing workloads inside the database, MariaDB minimizes network latency, resulting in faster queries and more responsive AI applications. The integration of AI and analytics capabilities directly into the database lowers the total cost of ownership and provides a predictable financial path for growing AI initiatives.
MariaDB AI Platform includes features like vector embedded search, AI RAG for rapid application generation, and AI agents that interact with the database using natural language. It supports AI framework integrations, making it a powerful backend for generative AI applications. The platform is compatible with leading frameworks like LangChain, Spring AI, and LlamaIndex, facilitating the development of sophisticated AI applications.
MariaDB Cloud offers flexible pricing plans with serverless and dedicated cluster options, supporting deployment across AWS, Azure, and Google Cloud. It provides high availability, automated failover, and real-time observability, ensuring mission-critical applications remain operational. With its robust security features and compliance with standards like ISO 27001 and SOC 2 Type II, MariaDB AI Platform is a reliable choice for enterprises looking to innovate in AI.
MariaDB AI Platform's Core Features
High-performance vector search
Seamless LLM integration
Serverless architecture
Native AI and analytics capabilities
AI RAG for rapid application generation
AI agents with natural language interaction
Support for leading AI frameworks
Real-time observability and monitoring
Automated high availability and failover
Flexible pricing plans
Deployment across AWS, Azure, and Google Cloud
Robust security and compliance
Reduced total cost of ownership
Unified data platform
Instant scaling of compute and storage
How to use MariaDB AI Platform?
Configure: Set up your database environment
Use: Develop AI applications with integrated tools
Optimise: Scale resources based on demand
Monitor: Use real-time observability features
MariaDB AI Platform's Use Cases
- Generative AI Applications
- Data Security
- Cost Efficiency
- AI Framework Integration
- Real-time Monitoring





