Comprehensive MySQL NDB Cluster Services
From initial deployment to advanced optimization, we provide end-to-end MySQL NDB Cluster solutions for carrier-grade environments.
- Management node (ndb_mgmd) setup
- Data node (ndbd/ndbmtd) configuration
- SQL node (mysqld with NDB) integration
- config.ini and my.cnf optimization
- Hash-based partition key design
- Node group planning and balancing
- Table schema optimization for NDB
- Online repartitioning and rebalancing
- Automatic node failure detection
- Sub-second failover orchestration
- Node group redundancy planning
- Split-brain prevention strategies
- In-memory vs disk data configuration
- Batch operation optimization
- NDB API and ClusterJ tuning
- Adaptive send and receive thread tuning
- NDB Cluster Replication setup
- Active-active conflict resolution
- Cross-datacenter DR planning
- Epoch-based conflict detection
- ndb_mgm and ndbinfo monitoring
- MySQL Cluster Manager (MCM) setup
- Performance metrics and dashboards
- 24/7 alerting and incident response
Why Choose MySQL NDB Cluster?
MySQL NDB Cluster delivers carrier-grade availability with in-memory performance, automatic sharding, and a shared-nothing architecture designed for zero downtime.
In-Memory Real-Time Performance
All data is stored in-memory across data nodes, delivering sub-millisecond read and write latency. Disk-based data tables are available for larger datasets that don't require in-memory speed.
Shared-Nothing Architecture
No shared disks or storage — each data node owns its partition of the data. This eliminates single points of failure and enables linear horizontal scaling by adding more data nodes.
Automatic Failover (<1 Second)
When a data node fails, the cluster automatically promotes replicas and reroutes traffic in under 1 second. Applications experience no interruption thanks to transparent failover.
Linear Horizontal Scaling
Add data nodes online to increase both capacity and throughput linearly. NDB Cluster supports up to 255 data nodes with automatic data redistribution across the expanded cluster.
NDB Cluster Key Metrics
NDB Cluster vs InnoDB Cluster
Choose the right MySQL clustering solution based on your workload characteristics and availability requirements.
NDB Cluster Architecture Components
Understanding the node types that make up a production MySQL NDB Cluster deployment.
ndb_mgmdManage cluster configuration and orchestrate node startup, shutdown, and failover. Stores and distributes config.ini to all nodes.
- Cluster configuration management
- Node arbitration
- Online config changes
- Backup coordination
ndbd / ndbmtdStore and replicate data in-memory. Handle data partitioning, transaction execution, and checkpointing to disk.
- In-memory data storage
- Synchronous replication
- Local checkpoints (LCP)
- Global checkpoints (GCP)
mysqld (NDB)Standard MySQL servers with the NDB storage engine. Provide SQL interface for applications to access cluster data.
- Standard MySQL protocol
- Query parsing and optimization
- Join pushdown to data nodes
- Connection pooling
NDB API / ClusterJDirect programmatic access to data nodes bypassing SQL overhead. Used for maximum performance in latency-sensitive applications.
- Direct data node access
- C++ NDB API
- Java ClusterJ API
- Node.js ndb adapter
Our NDB Cluster Implementation Process
A proven methodology for deploying production-ready MySQL NDB Cluster with comprehensive testing and validation.
Architecture Planning
Analyze workload patterns, data model requirements, and availability targets. Design node topology, node group layout, and partition key strategy.
Cluster Deployment
Deploy management, data, and SQL nodes. Configure config.ini, memory allocation, data node replicas, and network transporter settings.
Integration & Testing
Migrate data to NDB tables, validate application compatibility, perform failover testing, and benchmark throughput and latency.
Production Go-Live
Cut over to production with monitoring, alerting, backup procedures, and runbooks. Provide training and ongoing 24/7 support.
NDB Cluster Use Cases
Industries and workloads where MySQL NDB Cluster delivers the greatest impact.
Subscriber databases (HLR/HSS), real-time billing and charging, network element management, and session data stores for millions of concurrent users.
Real-time fraud detection, payment authorization, risk scoring, and high-frequency transaction processing with guaranteed data consistency.
Player session state, real-time leaderboards, matchmaking engines, and in-game inventory management with sub-millisecond response times.
High-velocity sensor data ingestion, device state management, real-time analytics on device telemetry, and edge-to-cloud data pipelines.
MySQL NDB Cluster — Frequently Asked Questions
Common questions about MySQL NDB Cluster deployment, architecture, and management.