Always-on database analysis
Continuously analyzes database telemetry and workload patterns to surface performance, reliability, and security issues, then ranks what needs attention first.
Releem
ReivindicarReleem is a database advisor for MySQL, MariaDB, and PostgreSQL that analyzes production signals and recommends safe, reviewable fixes.
Overview
Releem is a database advisor for MySQL, MariaDB, and PostgreSQL. It analyzes production database signals around performance, reliability, and security, then turns those signals into recommendations that explain what to fix and why.
The product is designed for teams that need clearer operational decisions rather than another monitoring dashboard. Releem installs through an agent, works without inbound firewall ports, and keeps changes under human approval so teams can move from insight to action safely.
What Releem does
Action-oriented recommendations
Explains each recommendation in practical terms so teams can see what is wrong, why it matters, and what to change.
Multiple optimization paths
Supports configuration tuning, SQL query optimization, schema optimization, and security-related checks from the same advisor workflow.
Human-reviewed changes
Lets teams review recommendations before applying them and supports controlled execution with approval and rollback-oriented workflows.
Operational diagnostics
Shows query analytics, process list visibility, and deadlock detection so teams can investigate operational issues in context.
Post-change verification
Tracks the impact of applied changes so teams can verify whether a recommendation improved latency, I/O, or resource usage.
Where Releem fits
Tune database configuration
Use Releem to spot when workload growth or memory pressure is increasing disk reads and latency, then review a configuration change before applying it.
Optimize SQL queries
Use Releem to analyze slow or high-impact production queries, identify index mismatches or inefficient access patterns, and validate a safer optimization plan.
Clean up schema and indexes
Use Releem to find duplicate, overlapping, or unused indexes that add storage overhead and slow writes, then simplify the schema with reviewable recommendations.
Reduce security exposure
Use Releem to review configuration and permission-related risks, then tighten settings while keeping the change process controlled and visible.
Operate a fleet of databases
Use Releem when you manage several production databases and need a consistent workflow for prioritizing issues across servers instead of investigating each one manually.
Pros and Cons
Pros
- Covers performance, reliability, and security in one workflow.
- Provides concrete recommendations instead of only displaying metrics.
- Supports safe review before changes are applied.
- Includes query analytics and deadlock detection in public plans.
- Offers a free trial and a no-credit-card start on the homepage.
Cons
- The product is not fully autonomous; changes stay under human approval.
- PostgreSQL support is described more conservatively on the pricing page than MySQL and MariaDB support.
- Hosting plans exclude SQL Query Optimization.
FAQ
Does Releem make changes automatically?
Releem is recommendation-first rather than fully autonomous. It analyzes database telemetry, explains what matters, and lets teams review changes before applying them.
Which databases does Releem support?
Releem supports MySQL, MariaDB, and PostgreSQL. The pricing page also notes production-ready support for MySQL, MariaDB, and Percona Server, with PostgreSQL support available for selected validation paths.
Is Releem safe to connect to a production database?
Releem is designed to be safe for production use. The agent is open source, does not require inbound ports, and sends metrics over HTTPS; it does not collect table contents.
How does setup work?
The source describes a quick setup path: install the agent and then get recommendations. The homepage says getting started takes only a few minutes.
Who is Releem for?
Releem is aimed at founders, CTOs, developers, DevOps teams, hosting providers, infrastructure teams, and database teams that run production databases without a dedicated DBA.
Quick Facts
- Category
- Database advisor
- Databases
- MySQL, MariaDB, PostgreSQL
- Delivery model
- Agent-based cloud service
- Primary users
- Developers, DBAs, DevOps teams, infrastructure teams
- Deployment
- Linux, Windows, Docker, Kubernetes, AWS RDS, GCP Cloud SQL, Azure-based deployments
- Pricing
- Free trial available; paid plans on the pricing page