DBmarlin vs Percona Monitoring and Management

DBmarlin monitors database performance and tracks changes to help teams identify where SQL execution time goes. It captures SQL statement text and wait states, and automatically detects changes to schema objects, database parameters and explain plans. Its AI Co-pilot provides database tuning insights and advice. DBmarlin is available self-hosted or in the cloud, with Linux, Windows and web platforms listed. The free Starter licence covers one database instance, unlimited users and no time limit. Premium is listed at £999/year per licence and includes priority support; monthly pricing is unavailable, and prices exclude tax. Supported databases include MySQL, PostgreSQL, MariaDB, CockroachDB, SAP HANA, SQL Server, IBM Db2, Oracle, SAP ASE, Informix, MongoDB and Snowflake. Listed integrations include Datadog, Grafana, Harness, Instana, Jenkins, Liquibase, New Relic and Splunk Observability Cloud. Licensing counts active instances, databases or nodes depending on the technology. SAP HANA pricing is marked beta, with pricing to be confirmed. The download page requests a first name, last name and work email to access downloads.

Percona Monitoring and Management (PMM) is a free, open source tool for monitoring, managing, and observing databases and the servers they use. It covers MySQL, PostgreSQL, MongoDB, and deployments across on-premises, cloud, and hybrid environments. Dashboards, configuration insight, and Query Analytics support monitoring; Query Analytics ranks queries by load and provides anomaly investigation, explain plans, and customizable dashboards. Percona Advisors scan MySQL, MongoDB, and PostgreSQL databases for security gaps, misconfigurations, and performance problems, then offer recommendations. PMM includes backup and restore for MongoDB and MySQL, with scheduled or on-demand backups and point-in-time recovery. Percona Alerting is described as supporting more than 15 notification channels. Deployment options include Docker, Podman, a virtual appliance, Kubernetes or OpenShift via Helm, and an AWS Marketplace instance. PMM Server has a browser-accessible interface; its documented Docker setup recommends at least 2 CPU cores, 4 GB RAM, and 100 GB disk, and requires x86-64-v2 CPU support. PMM Client connections to the server use TLS over HTTPS.