MariaDB Platform Components

MariaDB Platform Components

MariaDB Enterprise Server

MariaDB Enterprise Server is an enhanced, hardened and secured version of MariaDB Community Server created to provide customers with enterprise reliability, stability and long-term support as well as greater operational efficiency when it comes to managing large database deployments for business- and mission-critical applications.

Download datasheetSee what’s new in Enterprise Server 10.5

Enhanced

Improvements to auditing, backups, clustering, federation, replication and storage allow DBAs to fully secure databases and avoid downtime.

Hardened

Further testing and enterprise documentation incorporates fixes and workarounds to bugs and issues found in MariaDB Community Server.

Secured

The default configuration maximizes security and durability to ensure production deployments are safe, and all non-GA plugins are removed.

Enterprise plugins

Xpand
Xpand

Scale out with distributed SQL using fully distributed tables and queries to increase throughput and/or storage capacity.

Enterprise Audit
Enterprise Audit

Collect detailed connection information and create granular audit rules and templates using JSON documents stored in system tables.

Enterprise Backup
Enterprise Backup

Take backups on large databases without blocking writes and interrupting applications, or blocking important schema changes.

Enterprise Cluster
Enterprise Cluster

Deploy secure multi-master clusters with encrypted transaction buffers and default configurations optimized for production.

Enterprise Federation
Enterprise Federation

Consolidate data access by using MariaDB Platform to access tables in other databases using standard ODBC connections.

Hashicorp Vault
Hashicorp Vault

Manage encryption keys outside of the database for maximum security and easier, more sophisticated key management.

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MariaDB MaxScale

MariaDB MaxScale is an advanced database proxy for MariaDB Enterprise Server, providing it with enterprise high availability, scalability, security and integration services while at the same time abstracting away the underlying database infrastructure to simplify application development and database administration.

Download datasheetSee what’s new in MaxScale 2.5

Scalability
Scalability

Intelligent query routing and adaptive load balancing simplify application development and improve query performance.

High availability
High availability

Automatic failover with transaction replay ensures applications are not interrupted, or even aware of, an infrastructure failure.

Integration
Integration

Redis can be used to cache query results to improve performance while Kafka can be used to publish data changes to external systems.

Security
Security

The database firewall, dynamic data masking and query throttling features protect databases from attacks and prevent data breaches.

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ColumnStore

MariaDB ColumnStore extends MariaDB Enterprise Server with distributed, columnar storage and massively parallel processing (MPP), transforming it into a standalone or distributed data warehouse for interactive, ad hoc analytics on billions of rows without the need to create indexes – and with standard SQL.

See what’s new in ColumnStore 1.5

Columnar

Data is stored in a columnar format for fast analytics and with up to 90% compression, reducing disk I/O and size of data on disk.

Distributed

Data can be distributed across multiple database instances and queried in parallel to increase query performance and support massive datasets.

Cloud native

Data can be stored on Amazon S3 compatible object storage, on premises or in the cloud, to benefit from low-cost, unlimited storage.

Modern analytics

Standard SQL
Standard SQL

Analyze billions of rows and hundreds of terabytes of data with standard SQL, including joins with other tables (row or columnar).

Kafka and Spark connectors
Kafka and Spark connectors

Use Kafka and Spark connectors to ingest streaming data and publish machine learning results for interactive, ad hoc analysis.

Direct data loading
Direct data loading

CLI import tools as well as C, Java and Python connectors bypass the SQL layer to load data directly to storage from anywhere.

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Xpand

Xpand is a distributed SQL database capable of scaling to millions of transactions per second with a shared-nothing architecture, on premises or in the cloud. It can be deployed on its own with MaxScale for maximum performance or as MariaDB Enterprise Server storage engine for full compatibility with existing MariaDB/MySQL applications.

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Distributed tables and indexes

Xpand distributes both tables and indexes in order to eliminate scatter/gather queries and maximize query throughput/concurrency.

Distributed transactions

Xpand uses parallel synchronous writes and consensus within distributed transactions in order to guarantee data integrity.

Elastic scaling on demand

Xpand database nodes can be added or removed on demand, allowing it to scale with workloads as they grow or experience temporary spikes.

 

How MariaDB achieves global scale with Xpand. Read the article in InfoWorld.

 

5 minute overview