Top 5 Open Source Database Monitoring Tools
Commercial database monitoring tools often promise polished interfaces and dedicated enterprise support. Open-source solutions are increasingly chosen for their transparency, cost-effectiveness, community-driven development, and flexibility.
We researched 5 open-source database monitoring platforms, verifying capability claims against official documentation and release notes, testing setup and query analysis on MySQL and MongoDB workloads, and cross-referencing community adoption data for Netdata, Prometheus + Grafana, Zabbix, pgwatch, and Percona PMM.
Database platform coverage
Tool | GitHub Stars | Oracle | MySQL | Microsoft SQL Server | PostgreSQL |
|---|---|---|---|---|---|
Netdata | 76.5k | ✅ | ✅ | ❌ | ✅ |
Prometheus + Grafana | 60.9k/70.5k | ✅ | ✅ | ✅ | ✅ |
Zabbix | 5.3k | ✅ | ✅ | ✅ | ✅ |
pgwatch2 | 1.8k | ❌ | ❌ | ❌ | ✅ |
Percona PMM | 0.8k | ❌ | ✅ | ❌ | ✅ |
Note: The tools in this list are sorted in descending order by total GitHub stars.
1. Netdata
Netdata collects per-second metrics with minimal overhead and requires almost no configuration to get started. It auto-detects databases and services during installation, making it genuinely fast to deploy compared to most alternatives.
The machine learning features are built into the agent itself: anomaly detection runs at the edge, without sending data to a central server. Netdata Cloud MCP Server adds integration with AI-powered agentic tooling to help teams build more automated observability workflows.
Key features:
- Per-second metrics with 1-second granularity, no sampling
- Zero-configuration auto-detection of databases and services
- On-device anomaly detection and automatic baselining
- Distributed edge architecture with optional centralized storage
- SOC 2 Type 2 certified as of 2026
Supported databases: Microsoft SQL Server, MySQL, PostgreSQL, MongoDB, Redis, Memcached, CockroachDB, Oracle (via ODBC)
2. Prometheus + Grafana
Prometheus handles metrics collection and storage; Grafana handles visualization. Together they have become the default monitoring stack for cloud-native infrastructure, largely because the exporter ecosystem covers almost every database platform in existence.
Key features:
- Exporter ecosystem covering virtually every database platform
- PromQL for time-series aggregation and analysis
- Native Kubernetes integration and service discovery
- Grafana Drilldown (GA): queryless metric and log exploration
- Git Sync: dashboard versioning via GitHub pull requests
- AI Assistant for alert rule analysis (Grafana 12)
Supported databases: Oracle, MySQL, PostgreSQL, MongoDB, Microsoft SQL Server, Cassandra, Redis, Elasticsearch, and any database with an available exporter
3. Zabbix
Zabbix is the most complete out-of-the-box monitoring platform in this list. Unlike Prometheus, it does not require external exporters for major databases; pre-configured templates handle Oracle, MySQL, PostgreSQL, SQL Server, MongoDB, and MariaDB natively. The ODBC interface extends this to almost anything else.
Key features:
- Native database templates for major platforms, no exporters required
- ODBC monitoring for any ODBC-compatible database
- Agent-based and agentless options with proxy architecture for large deployments
- Multi-level alerting with escalations, dependencies, and maintenance windows
- OpenTelemetry integration and APM arriving in v8.0 LTS (Q2 2026)
Supported databases: Oracle, MySQL, PostgreSQL, Microsoft SQL Server, MongoDB, MariaDB, plus ODBC-compatible databases
4. pgwatch2
pgwatch2 is now archived and accepts only bug fixes. The active project is pgwatch v3, maintained at github.com/cybertec-postgresql/pgwatch and documented at pgwat.ch. Teams running pgwatch2 in production should plan a migration.
pgwatch v3 introduced Windows support, parallel sinks (writing metrics to multiple destinations simultaneously), a redesigned documentation site, and updated Grafana v9/v10 compatibility with REST API-based dashboard provisioning. Docker images were also renamed: pgwatch2-postgres is now pgwatch-demo, and pgwatch2-daemon is now pgwatch.
Key features:
- PostgreSQL-native metrics drawn directly from system catalogs and statistics views
- Multiple storage backends: PostgreSQL, TimescaleDB, Prometheus, JSON file, RPC
- SQL-based custom metric definitions
- Web-based management UI with preset dashboard configurations
- Windows support added in v3
Supported databases: PostgreSQL, including Amazon RDS, Amazon Aurora, Azure Database for PostgreSQL, Google Cloud SQL for PostgreSQL
5. Percona Monitoring and Management (PMM)
PMM is the most database-focused tool in this list. Where Netdata and Prometheus are general-purpose infrastructure monitors that happen to support databases, PMM is built specifically for database performance analysis. The Query Analytics feature gives a breakdown of query execution at a level of detail that the other tools do not match.
Key features:
- Query Analytics (QAN): slow query identification and execution breakdown
- Built on Prometheus and Grafana for metrics storage and visualization
- Advisors and security checks, now fully built-in and free as of v3.5.0
- High Availability Cluster with Raft consensus
- MongoDB replica set and sharded cluster profiling
Supported databases: MySQL, MariaDB, PostgreSQL, MongoDB, Valkey, Redis, Amazon RDS (MySQL/PostgreSQL), Amazon Aurora
Open Source vs. Closed Source database monitoring
The practical difference between the two comes down to what your team can maintain. Open-source tools are cheaper and more flexible, but they require internal expertise. Closed-source tools reduce setup time and come with guaranteed support, but they create vendor dependency and can become expensive at scale.
Where open source has a clear advantage:
- No licensing fees, which matters significantly for large database fleets
- Full source code visibility for security audits and compliance verification
- Freedom to add custom metrics, build exporters for legacy systems, or modify behavior without vendor involvement
- Community-contributed plugins and dashboards for a wide range of platforms
Where closed source still leads:
- Guaranteed SLAs with defined response times for production incidents
- Single-vendor integrated stacks covering APM, logs, and databases without custom wiring
- Easier onboarding for teams without dedicated monitoring expertise
One area where the gap has narrowed in 2026: AI capabilities. Netdata’s on-device anomaly detection and Grafana 12’s AI Assistant for alert analysis mean that AI-powered monitoring is no longer exclusive to commercial platforms.
Hybrid approaches are common in practice. Grafana and Netdata both offer free open-source versions alongside paid cloud tiers. Many teams run Prometheus or Zabbix with a third-party commercial support contract, or use open-source tools in development while keeping a commercial solution in production.
Open source is usually the right choice when budget constraints are significant, deep customization is required, data sovereignty matters, or vendor lock-in is unacceptable, and internal monitoring expertise exists to run the stack.
Closed source tends to win when enterprise SLAs are non-negotiable, there is no internal team to manage the infrastructure, or a single integrated observability platform is required across a complex environment.
FAQs
Open-source database monitoring tools give IT teams real-time visibility into database performance, resource utilization, and query analytics without the high licensing costs of commercial products. They provide customizable dashboards, real-time alerts, and comprehensive monitoring across cloud and on-premises environments, helping teams identify bottlenecks, optimize performance, and maintain smooth operations on a single platform.
While commercial IT infrastructure monitoring tools like Redgate Monitor offer advanced automation and vendor support, open-source monitoring solutions allow greater flexibility, self-hosted deployment, and multi-database support. They integrate with application performance monitoring and log management systems to provide a unified dashboard for servers, databases, and services, ensuring complete visibility and reduced alert fatigue.
To monitor SQL Server performance, open-source options such as Zabbix, Prometheus + Grafana, and DBA Dash provide real-time dashboards for tracking key metrics like query duration, I/O latency, and resource utilization. These tools help address bottlenecks, analyze slow-running queries, and support performance tuning through detailed reports and customizable alerts, delivering a clear view of your database environment without relying on closed-source software.
Database observability provides business teams and IT departments with real-time insights to detect performance issues early, minimize downtime, and improve application performance. By using open-source database observability tools that collect and visualize time-series data, organizations can make data-driven decisions that enhance reliability, reduce customer complaints, and support strategic initiatives across the business.
Further reading
Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.
Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.
He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.
Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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