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MariaDB AX is a columnar database for modern, on-demand analytics, using distributed storage and massively parallel processing (MPP) to execute interactive, ad hoc queries on 100s of terabytes of near-real-time data, with standard SQL and without creating indexes (ever). That’s not all. MariaDB AX scales on commodity hardware, on premises or in the cloud, eliminating the need to spend budget on proprietary data warehouses and appliances.
Data analysts always have access to near-real-time data when it’s streamed from Apache Kafka to MariaDB AX, automatically and continuously – bypassing the SQL layer for faster data ingestion.
Data scientists can publish machine learning results from Spark to MariaDB AX, on demand, so they are available for ad hoc, interactive analysis without delay, and with standard SQL.
Developers can build applications, services and scripts to import data into MariaDB AX as soon as it arrives, eliminating the need to transfer CSV files and wait for the next scheduled ETL job.
MariaDB AX lets you scale analytic workloads when they’ve outgrown traditional databases like Oracle Database and MySQL.
MariaDB AX allows you to analyze data in unforeseen ways without having to create query-optimized schemas and indexes.
MariaDB AX can import streaming data from Apache Kafka and MariaDB TX so you’re always analyzing current data, not week-old data.
The only open source database with Oracle Database compatibility (i.e., PL/SQL), temporal tables and transparent data encryption.
A storage engine optimized for analytical workloads – the data is distributed for scalability and stored by column for performance.
The worlds’ most advanced database proxy: intelligent routing, automatic failover, dynamic data masking and a powerful database firewall.
A streaming data adapter for automatically and continuously consuming Apache Kafka messages and writing them directly to storage.
A bulk data adapter for publishing machine learning results from Apache Spark for ad hoc, interactive analysis with standard SQL.
C, Java and Python bulk data adapters for writing data directly to storage (bypassing the SQL layer) from remote applications, services and scripts.
MariaDB AX scales out to 100s of billions of rows and uses massively parallel processing to analyze the data in a matter of seconds.
MariaDB AX stores data by column rather than row to provide greater compression, schema flexibility and performance.
MariaDB AX has Apache Kafka and Spark connectors for ingesting streaming data and publishing machine learning results.
MariaDB AX, unlike Hadoop and NoSQL databases, supports standard SQL, including JOINs and user-defined aggregate functions.
MariaDB AX includes bulk data adapters for direct, high-throughput imports from C, Java and Python apps, services and scripts.
MariaDB AX is an enterprise open source database, and runs on bare metal, virtual machines or containers, SSDs or HDDs.
In addition to world-class, 24×7 technical support, MariaDB subscriptions include consultative support to provide customers with recommendations and advice based on decades of experience. If that’s enough, a dedicated team of remote DBAs, enterprise architects and migration managers is available to ensure customers succeed – whether it’s migrating from a legacy data warehouse or integrating with Apache Spark, Apache Kafka and Apache Hadoop.