Unlock Real-Time Insights from Your Mission-Critical Data
MariaDB Enterprise is more than just a world-class transactional database. It’s a complete platform for modern data analytics. Go from transaction to insight faster than ever with powerful, scalable and cost-effective solutions designed for any workload.
In a data-driven world, the ability to analyze information as it’s created is a critical competitive advantage. Yet, many organizations are still hampered by the traditional divide between their transactional (OLTP) and analytical (OLAP) systems. Moving data via slow, complex and error-prone ETL pipelines results in stale data, architectural complexity and missed opportunities. You need a solution that can handle both, seamlessly.
The Right Analytics for Your Workload
MariaDB Enterprise offers powerful solutions to break down the barriers to insight. Whether you need to run ad hoc queries on massive datasets or power the most demanding AI workloads, we provide a flexible and performant engine to meet your needs.
MariaDB ColumnStore
MariaDB ColumnStore is an open source, columnar storage engine designed to add powerful, ad hoc analytics directly to your MariaDB environment. It is ideal for consolidating workloads, enabling fast analysis for internal reporting and business intelligence on large datasets without the complexity of a separate data warehouse.
MariaDB Exa
MariaDB Exa is a best-of-breed, enterprise data warehouse solution, delivered through a partnership with Exasol. It is engineered for the ultimate in analytical performance, connecting mission-critical transactional data to one of the world’s fastest analytics engines for time-critical, customer-facing applications.
| Feature | MariaDB ColumnStore | MariaDB Exa |
|---|---|---|
| Primary Use Case | Fast, ad hoc analytics at scale | Ultimate performance analytics and data warehousing |
| Ideal Workload | Internal reporting, trend analysis, summaries and low-impact analytics | Customer-facing, time-critical, revenue-driving applications |
| Performance | Good for big data and analytics | Vastly better performance (5x-20x), leading TPC-H benchmarks |
| Typical Data Size | 300 GB to 10+ TB | 1 TB to 50+ TB per node |
| SQL Compatibility | High compatibility with MariaDB Server (schemas, data types, syntax) | Has its own SQL dialect (near ISO SQL-compliant); a preparser can bridge differences |
| Architecture | Integrated; can act as a query accelerator for MariaDB Enterprise Server | Connects to MariaDB; a separate, mature, high-performance engine |
| Key Differentiators | Simple installation, hardware sharing and high MariaDB compatibility | High concurrency, self-indexing and UDFs in multiple languages (Python, Lua, etc.) |
| Ecosystem | Wide OS support | Rich integrations: SQL clients (DBeaver), BI tools (Tableau, Power BI) and migration scripts |
| Scalability & HA | Massively parallel processing | In addition to massively parallel processing, failover-tested, standby nodes, automatic data distribution, and built-in data redundancy |
| Licensing Model | Open source | Closed source (requires a license) |
Real-World Analytics Use Cases
MariaDB supports our customers across various industries and delivers reduced costs, increased performance
and better scalability than alternative solutions.
Financial Services
Estimate price point, profitability and risk by processing millions of trading quotes in tens of milliseconds.
Healthcare
Increase query performance across massive datasets by uniting disparate and diverse data from multiple database instances.
Retail
Drive customer loyalty and reduce churn by understanding real-time customer behavior for cross-sell and up-sell opportunities.
Manufacturing
Boost system uptime and reduce maintenance costs by evaluating ERP and IoT data to predict points of component failure.
