AI Database Advisor for MySQL, MariaDB & PostgreSQL
MySQL performance tuning tool with AI and controlled automation
Improve query performance and resource efficiency across cloud and self-managed MySQL with workload-based query and index optimization, plus configuration tuning enhanced by machine learning. Apply configuration and schema changes through controlled automation.
Create an account, connect your database with the Releem Agent, and apply recommendations. See how it works
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See what Releem helps you improve
Explore configuration, query, index and schema improvements for your workload
Configuration tuning
- Queries slow down as disk reads increase.Releem uses machine learning to recommend MySQL settings based on your configuration and workload. Review the recommendations, apply the changes, and compare performance before and after.
- Performance goal: Improve query response times and reduce disk reads.
Query and index optimization
- A frequently executed query scans a large table.Releem identifies these queries, analyzes existing indexes, then recommends indexing improvements with clear explanations and SQL statements. Compare execution time and server load after applying it.
- Performance goal: Faster queries with less unnecessary database work.
Schema optimization
- Overlapping indexes add storage and write overhead.Releem identifies overlapping indexes that may be unnecessary, with an explanation for each removal recommendation. Confirm the index is not needed across your workload before removing it. Compare write performance and storage use afterward.
- Performance goal: Reduce unnecessary index overhead and simplify the schema.
Security and configuration safety
- Releem checks your database for potential security risks. Review the findings and recommended actions to improve your database security.
From workload insights to performance improvements
Releem is an AI database advisor that helps improve MySQL performance through workload-based query and index optimization, configuration tuning and controlled automation for supported changes.
1. Analyzes your MySQL workload
Releem collects query activity, database settings and resource metrics to understand how your database runs.
Releem collects query activity, database settings and resource metrics to understand how your database runs.
2. Identifies performance tuning opportunities
Review slow or frequently executed queries and configuration findings that may affect database performance.
Review slow or frequently executed queries and configuration findings that may affect database performance.
3. Helps prioritize what to address
Use workload observations and findings to choose what to address first.
Use workload observations and findings to choose what to address first.
4. Recommends query, index and configuration changes
Review proposed query, index and configuration changes with explanations.
Review proposed query, index and configuration changes with explanations.
5. Helps apply supported changes
Apply configuration and schema changes through controlled automation, with application options depending on your deployment.
Apply configuration and schema changes through controlled automation, with application options depending on your deployment.
6. Helps you measure the impact
Compare query performance, resource use and effective settings after a change.
Compare query performance, resource use and effective settings after a change.
Performance tuning
for your database and environment
Releem supports MySQL, MariaDB and PostgreSQL. You can tune all three with the same tool. Our primary focus is MySQL,
with support for MariaDB and PostgreSQL too.
Run Releem with managed databases or self-managed deployments, including Amazon RDS, Amazon Aurora, Google Cloud SQL, Azure, Linux, Windows, Docker and Kubernetes.
- MySQLMySQL is the primary database supported by Releem. Improve performance with query, index and configuration recommendations.
- MariaDBMariaDB is supported with the same tuning capabilities as MySQL across all MariaDB versions.
- PostgreSQLTune PostgreSQL using the same Releem interface, with recommendations for PostgreSQL-specific settings, including autovacuum.
How to start tuning MySQL performance
Releem makes MySQL performance tuning simple. Get started in three steps, receive workload-based recommendations and use controlled automation to apply supported changes.
1. Create an account
Sign up for Releem to get started.
2. Connect your database
Install the Releem Agent with a simple
one-step setup.
one-step setup.
3. Review and apply
Review recommendations, automate supported changes
and get new suggestions as your workload changes.
and get new suggestions as your workload changes.
Built for teams running production databases
- Engineering TeamsKnow what to fix first without needing a dedicated DBA.
- Infrastructure TeamsTurn database signals into clear operational actions and reduce repetitive investigation.
- Database TeamsAutomate repetitive analysis and operate databases more efficiently at scale.
Simple, predictable pricing
Releem Starter: $49 per database server per month, billed monthly. Annual billing: $39 per database server per month.
View plans and billing details.
Releem Starter: $49 per database server per month, billed monthly. Annual billing: $39 per database server per month.
View plans and billing details.
What users say about Releem
“Releem is a great lovely product for your online business.”
Dee . - 5/5 on G2
“Releem is a great lovely product for your online business.”
Dee . - 5/5 on G2
Frequently asked questions
Choose a MySQL performance tuning tool that supports your database version and deployment, analyzes your actual workload, and explains what to change. Look for query, index and configuration recommendations, control over applying changes, and before-and-after performance comparisons. Releem combines these capabilities in one workflow, with controlled automation for configuration and schema changes. Test it on your workload to assess performance improvements and the time needed to achieve them.
Yes. Releem identifies slow or frequently executed MySQL queries and recommends query or index improvements. It also analyzes your database configuration to recommend settings that can improve performance and resource efficiency. Review the recommendations, apply the changes, then compare query execution time and CPU usage. Results depend on your workload and the cause of the slowdown.
Releem uses machine learning to recommend MySQL settings based on your configuration and workload, drawing on performance data from different database workloads. Review the suggested settings, apply the changes, then compare performance on your database.
Read about configuration tuning
Read about configuration tuning
Releem can apply configuration changes and approved schema changes, such as creating indexes. You choose which changes to apply and whether to enable automation. Automatic schema changes are off by default. Scheduled configuration tuning can apply future recommendations automatically. Changes to SQL in your application code remain part of your development workflow. Available options depend on your database and deployment.
Releem supports MySQL, MariaDB, PostgreSQL and Percona Server for MySQL. Deployment options include Amazon RDS, Amazon Aurora, Google Cloud SQL, Azure Database for MySQL, Linux, Windows, Docker and Kubernetes. See the supported versions and installation guides for details.
Your monitoring tool may already provide alerts, query analysis and recommendations. Releem adds a focused workflow for query, index and configuration tuning, with controlled automation for supported changes and observations to help evaluate results. Use it alongside your monitoring tools to reduce the manual work between identifying a performance problem and applying an improvement.
AI agents help investigate database issues, but continuous production tuning requires fresh workload context, ongoing data collection and control over changes. Releem maintains that context and makes it available to AI agents, while providing tuning recommendations and controlled automation.
Releem tracks performance for each applied configuration and optimized query, so you can compare results before and after a change. Review query execution time, CPU usage and server load to see whether performance improved.
Install the Releem Agent using the guide for your database and deployment. Required permissions depend on the features you enable. Query optimization, applying configuration or schema changes requires additional permissions. Review the installation guides before connecting your database.
Yes. Queries, traffic, data, schemas and application code change over time. Releem continues analyzing your workload and recommending improvements to queries, indexes and configuration as your database evolves.
Use on-demand query recommendations during development and workload observations to investigate performance issues after deployments. Releem also helps you review security findings and investigate deadlocks, extending its value beyond the initial performance tune-up. Review new recommendations, apply supported changes through controlled automation and compare the results.
Use on-demand query recommendations during development and workload observations to investigate performance issues after deployments. Releem also helps you review security findings and investigate deadlocks, extending its value beyond the initial performance tune-up. Review new recommendations, apply supported changes through controlled automation and compare the results.
MySQLTuner provides useful configuration checks, but you still need to run it against each server, interpret the output, decide which settings to change, apply them and verify the results. Repeating that work takes more time as you manage more servers.
Releem brings workload history, query and index recommendations, configuration tuning and controlled automation for supported changes into one ongoing workflow. You can review findings across connected servers and evaluate changes without repeatedly gathering the same context manually. Compare Releem and MySQLTuner.
Releem brings workload history, query and index recommendations, configuration tuning and controlled automation for supported changes into one ongoing workflow. You can review findings across connected servers and evaluate changes without repeatedly gathering the same context manually. Compare Releem and MySQLTuner.
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