You need to optimize your database performance. What are the most effective tools for the job?

To enhance database performance, utilize efficient tools like database monitoring tools such as Oracle Enterprise Manager, SQL Server Management Studio, and MySQL Enterprise Monitor. These tools enable real-time tracking of database activities, optimizing queries, and managing resources for improved overall system functionality.

If you are working on IBM i or better Db2 for i you only need to download and install IBM i Access Client Solutions. In the SQL Performance Center, you'll find everything that is necessary for analyzing and optimizing SQL Performance. ... but it is the same for Db2 for i as for any other database you should know how optimization works or better what steps the query optimizer performs. There are also other things that affect performance, for example repeatedly executing the same SQL Statement or deleting the ODP (open data path) after each execution or disconnect after each executiong.

There are several database monitoring tools are : SolarWinds Database Performance Analyzer,Datadog,SQL Sentry,New Relic, Prometheus. In this some tools are open source. You have to choose one as per your requirements.

Monitor tools are a good way to improve performance. Additionally another way to find issues, is it really good to search errors on database log and if you know the database mechanism is seeking for the database events.

From my point of views: 1. Make sure your SQL queries are efficient by organizing them well, using the right indexes, and avoiding unnecessary joins or subqueries. 2. Keep your database optimized by creating and managing indexes on columns often used in WHERE clauses and JOIN conditions. 3. Ensure data integrity by normalizing databases, but for operations that involve heavy reading, think about denormalization to decrease the need for JOIN operations. 4. Boost database performance by implementing caching to store commonly accessed data in memory, lowering the overall workload on the database.

pg_stat_statements is a PostgreSQL module that provides a way to track execution statistics of SQL statements. It helps identify which queries are consuming the most resources and assists in optimizing them for better performance.

Unless you are inheriting an existing database, optimization must not be an afterthought, rather it should be a mandatory test case for initial modeling and design. Other than that, yes monitoring, tuning and profiling tools listed are all useful of course.

Certainly the best way to monitor the performance of a database is through its statistics. Each database has its own way of identifying this valuable data, for example MySQL has the OPTIMIZE TABLE command that will improve the way the table is stored, thus improving the results of a search, while Postgree has the ANALYZE command, which collects statistics about the contents of database tables, and stores the results in the pg_statistic system table. It is important to know which commands to look for for each database, these must be optimization, statistics on the use of the database's tables, internal procedures. This improves its performance.

Database profiling tools are critical pieces in building robust scalable databases. These tools can quickly identify bottlenecks & offer invaluable insight into performance degradation. These tools combined with a proactive analysis plan make all the difference in supportability & use of the system

EXPLAIN is my#1 tool. But the output of these tools can by cryptic, but ChatGPT can often help explain the output of EXPLAIN ! EXPLAIN does not help with locking issues - for those, try running the same job on a fresh table or unloaded database instance. EXPLAIN does not help for fragmentation/layout/fillfactor/VACUUM issues - for those, try creating a fresh copy of the table.

1. Query Optimizers (e.g. MySQL EXPLAIN): These tools help analyze and optimize database queries. 2. Monitoring Tools (e.g., Prometheus, Grafana): Monitoring tools track database performance metrics in real-time. 3. Caching Systems (e.g., Redis): Caching systems like Redis store frequently accessed data in memory, reducing the need to fetch it from the database. 4. Regular Database Maintenance. 5. Indexing: Proper indexing is crucial for efficient querying. Indexes speed up the retrieval of data by creating a data structure that allows the database engine to locate and retrieve specific rows quickly. Implementing and combining these tools and practices can enhance database performance, ensuring efficient operations and response times.

MS SQL Server: exec sp_helpindex [table] to view suggested indexes This will provide list of columns that should be considered for index and does not have it currently

Database tunning sometimes gets mingled with query and data optimization. However in my opinion it is different. Database tunning is more on the Database server level configuration and not specific to query or data. Tunning the resources allotted to database server matters. One should be able to allot the resources based on load on the database. To understand the requirement, database monitoring tools gives good insight. Both of them go hand in hand.

In my experience, most of the tools do the basic checks in terms of configuration, resource consumption and basic access paths for queries in the cache by comparing them with standards. But the tools can not talk to the business analysts, can not get data change expections, can not know if the data can be partitioned, can not tell if the job can be parallelized etc.. you should help the tool to check for really good alternatives, sometimes by rewriting the sqls, sometimes by doing small but important design changes (in non-prod dbs first for proof of concept)..

Imagine your database as a race car, powerful but struggling to reach its full potential. Database tuning tools are your expert pit crew, analyzing its performance with laser focus. They pinpoint slow queries, resource bottlenecks, and underutilized indexes – the hidden gremlins slowing you down. But they don't just diagnose; they recommend solutions. Streamline queries, create indexes for faster data retrieval, and fine-tune configurations – each tweak a pit stop improvement. Soon, your database sheds sluggishness, transforming into a finely tuned machine, purring at peak performance. Buckle up and let the tuning tools work their magic, taking your database from pit stop to checkered flag.

The first thing that comes into my mind when thinking database optimisation is proper fields indexing and also looking into any join queries being used in any database packages/functions.

The most important thing is the selection of right database for your project/ solution. It can impact project's performance, scalability and overall success. To choose right database you should focus on structured (RDBMS) or unstructured (NoSql) data, amount of data, growth of data, cost of database, support/ userbase of database. The next part is database design which includes tables, column types, indexes, etc. During usage the query optimization also plays an important role.

Sempre acreditei que antes de pensar em gastar recursos em ferramentas para otimiza??o, é necessário olhar com carinho aos nossos legados. Olhar para o nosso modelo de dados, olhar para as consultas que, no cenário considerado, ir?o precisar de tunning ou refatora??o. Caso ferramentas de ORM estejam implementadas, uma for?a tarefa com o time de desenvolvimento deve ser feita para otimizar essas consultas, além de verificar todas as transa??es gerenciadas pelos legados. Esse esfor?o irá trazer ganhos que ferramentas de otimiza??o ou aumento de recursos jamais ser?o capazes.

Choose database tools based on your needs and budget. For MySQL, Oracle, or SQL Server, free options like pt-query-digest or Explain Plan are cost-effective. If budget allows, SolarWinds DPA or Redgate SQL Monitor offer deeper insights. For tuning, explore free tools like phpMyAdmin or SQL Server Management Studio, or consider paid options like dbForge Query Builder or Idera SQL Optimizer. Need constant monitoring? Free tools like MySQLTuner or pgtune (PostgreSQL) work, or opt for paid solutions like AppDynamics or Datadog. Combine tools for the best results. Research features, compare, and start with free options before committing. With the right tools, your database will perform at its best!

Without a proper data model and without knowing your data, all others are just extending the agony. I would not live in a house having no trust in its structure.