Database Monitoring without Blind Spots

See Database Performance in Real-Time, Not After It's Too Late

• Per-second query metrics – Catch intermittent slowdowns other tools average away
• Real-time transaction tracking – Monitor active, idle, and waiting transactions as they happen
• Connection pool visibility – Instantly identify connection bottlenecks before they impact users
• Index and table statistics – Track growth, bloat, and usage patterns to prevent performance degradation
• Cache hit ratio analytics – Optimize memory allocation with detailed buffer insights

Troubleshoot Database Issues in Minutes, Not Hours

• Query performance analytics – Identify slow, frequent, and resource-intensive queries automatically
• Lock detection – Pinpoint deadlocks and blocking transactions before they cascade
• Resource correlation – Connect database performance with underlying CPU, memory, and I/O metrics
• Historical comparison – Compare performance before and after schema changes or upgrades
• Anomaly detection – Automatically identify abnormal performance patterns across thousands of metrics

Scale Your Database Monitoring Without Breaking Your Budget

• Zero-configuration setup – Start monitoring databases in minutes with automatic discovery
• Lightweight monitoring – Less than 1% overhead on database servers
• Comprehensive coverage – Monitor from data storage to query execution in a single platform
• Multi-instance visibility – Track hundreds of database servers from one central dashboard
• Long-term metric retention – Store high-resolution data for trend analysis and capacity planning

Scalability & Flexibility for Any Database Infrastructure

Netdata scales effortlessly from single-node databases to large, distributed clusters.

• Monitor databases at any scale – Works with single instances and multi-node clusters
• Flexible deployment options – Supports cloud, on-prem, and hybrid architectures
• Relational databases – PostgreSQL, MySQL, SQL Server, Oracle, MariaDB
• NoSQL databases – MongoDB, Cassandra, DynamoDB, Couchbase, ScyllaDB
• In-memory databases – Redis, Memcached
• Cloud managed services – AWS RDS, Azure SQL, Google Cloud SQL