The World’s Most Trusted
Open Source Database,
Now on Google Cloud
MariaDB and Google Cloud, delivering enterprise database performance with the scale, security and AI capabilities of Google’s global infrastructure.
Open Source Freedom.
Enterprise Reliability.
MariaDB Cloud gives you 100% open source freedom without sacrificing the reliability, security and support that enterprise workloads demand. On Google Cloud, you unlock AI-ready infrastructure, global anycast networking and seamless integration with the entire GCP ecosystem.
- Native integration with Cloud Spanner, BigQuery and Dataflow
- Automated snapshots and backups to Google Cloud Storage
- Deep integration with Google Cloud Armor and IAM
- Managed Kubernetes deployment via GKE with auto-scaling
- AI-powered query optimization using Vertex AI
- Native vector search for AI and RAG workloads, no extensions needed
3B+
Downloads: the world’s most popular open source database
30k+
Enterprise customers globally
Virgin Media 02
Telecommunications
FTMO.com
FinTech
Bentley Systems
Engineering Software
Built for Every
Enterprise Workload
From high-frequency transactional systems to petabyte-scale analytics.
OLTP & Transactional Workloads
Handle millions of transactions per second with full ACID compliance, InnoDB optimization and sub-millisecond latency on Google Cloud’s global backbone. Perfect for financial services, e-commerce and SaaS applications.
Analytics & Data Warehousing
Real-time analytics on operational data with MariaDB Exa, a columnar analytics engine that works alongside BigQuery for massive-scale analysis. Query billions of rows without impacting transactional performance.
Cloud-Native Applications
Built for modern microservices and containerized architectures on GKE. Manage schema evolution, scale connections dynamically and integrate with Cloud Run, Pub/Sub and your CI/CD pipelines.
High-Availability Production
Mission-critical setup with MariaDB MaxScale intelligent query routing, automated primary election and cross-region disaster recovery using Google Cloud’s multi-region infrastructure.
Deploy in Minutes,
Not Months
Google Cloud Marketplace removes procurement friction. From first click to production in three steps.
Find on GCP Marketplace
Search for MariaDB Enterprise Server or MariaDB Cloud in Google Cloud Marketplace. Start free, no commitment required.
One-Click Deploy
Select your instance type, region, and HA configuration. Deploy in under 5 minutes.
Connect & Scale
Update your connection strings, configure MaxScale and scale horizontally as demand grows.
Enterprise-Grade
By Default
Everything you need to run mission-critical databases in production on Google Cloud.
Continuous backups to Cloud Storage with point-in-time recovery to protect your data from any incident.
Active-active replication across GCP regions for disaster recovery and low-latency global reads.
End-to-end encryption, Cloud IAM integration, VPC Service Controls and SOC 2, GDPR, HIPAA compliance.
Deep integration with Google Cloud Monitoring and Cloud Logging for full observability and alerting.
Rolling upgrades and configuration changes without any service interruption, powered by MaxScale.
Direct access to MariaDB engineering experts with enterprise SLAs and dedicated Google Cloud support engineers. AI-powered developer and DBA copilot agents are available to accelerate schema design, query tuning and incident response.
How FTMO Achieved
10× Performance on GCP
A global fintech leader eliminates database bottlenecks and scales to new markets with MariaDB Cloud on Google Cloud.
“ We achieved improved uptime, performance, resilience, and scalability. We also uncovered bottlenecks that helped us improve performance of our systems by 10x, making expansion to new, large markets possible. “
– Andrej Paučo, Head of Infrastructure, FTMO
THE CHALLENGE
- Slow queries and unpredictable scaling at peak trading hours
- Outages directly impacting trader trust and revenue
- 1–2 week delay before new trader cohorts could be onboarded
- Heavy manual operational overhead slowing product innovation
THE SOLUTION
- MariaDB Cloud deployed via Google Cloud Marketplace
- Running on Google Kubernetes Engine (GKE) with autoscaling
- Multi-zone redundancy for continuous availability
- Expert schema tuning and workload optimization support
THE OUTCOME
- New trader cohorts launch immediately, zero waiting period
- Expansion into new large markets now possible
- Lower costs through autoscaling vs. over-provisioning
- Building real-time analytics pipelines on MariaDB Cloud
10x
Performance improvement
3x
Faster during peak hours
5x
More concurrent sessions
99.99%
Uptime SLA achieved
Common Questions about
MariaDB on Google Cloud
Yes. This is one of MariaDB’s strongest differentiators. MariaDB’s Exa columnar engine enables true HTAP (Hybrid Transactional/Analytical Processing) within a single database instance. Your OLTP workloads run on InnoDB as normal, while Exa handles analytical queries on the same data using columnar compression optimized for aggregations and full-table scans. On Google Cloud specifically, this means you can reduce reliance on a separate BigQuery pipeline for operational analytics: real-time dashboards query Exa while your application writes transactions to InnoDB, with no ETL lag, no data duplication and no extra GCP services to manage.
MariaDB Cloud on Google Cloud provides enterprise-grade support that competes directly with Oracle and Microsoft: 24/7 access to MariaDB engineering staff (not just a support tier), a 99.99% uptime SLA backed by MaxScale’s sub-10-second automatic failover and guaranteed response times tied to severity. Where Oracle and SQL Server charge substantial per-CPU licensing fees on top of infrastructure, MariaDB Cloud bundles engineering support into a single Marketplace subscription with no separate license cost. For migrations from Oracle or SQL Server, MariaDB’s team provides hands-on schema assessment, compatibility tooling and cutover planning, a level of engagement commercial vendors typically reserve for their largest accounts.
MariaDB Cloud on Google Cloud is purpose-built for the modern AI stack. The pgvector-compatible Vector Store in MariaDB 11.7 lets you store and query high-dimensional embeddings directly in your operational database, enabling retrieval-augmented generation (RAG) without a separate vector database. This integrates naturally with Vertex AI: your application can write embeddings to MariaDB, perform ANN (approximate nearest-neighbor) similarity searches at query time and feed results directly into Gemini or other Vertex AI models. For ML feature stores, Exa’s real-time columnar access means your training pipelines can read fresh features from the same database your application writes to, eliminating the stale-data problem common in batch-based feature pipelines.
MariaDB provides a structured Oracle migration path specifically for Google Cloud deployments. The process starts with a schema assessment that maps Oracle data types, identifies PL/SQL stored procedures with MariaDB-compatible equivalents and flags any compatibility gaps upfront. Data migration uses Google Database Migration Service alongside MariaDB’s CDC-based replication to stream changes live during cutover, keeping downtime to minutes rather than hours. MariaDB’s CONNECT storage engine can also federate queries against your existing Oracle instance during a parallel-run validation period, so you can verify data integrity before cutting traffic. Teams migrating from Oracle typically see 60–75% total cost savings by eliminating per-CPU Oracle licensing fees.
Ready to Run MariaDB
on Google Cloud?
Join thousands of enterprises running mission-critical workloads on MariaDB and Google Cloud.
Start free and scale as your workload grows.