Agentless Database Performance Monitoring.

Discover the SQL code hurting your database and save money.

For every cloud and on-premises

Production ready for Aurora, MySQL, Postgres, Maria DB, SQL Server, Oracle.

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Trusted by performance-driven companies

Production ready for the main relational databases

Easily discover your most time consuming queries.

Get straight to solving your apps performance issues. Setting up, tracing and investigating logs and querying data dictionaries every time is not where the race is won. Avoid the risk and complexity, and dedicate your energy to what really matters: building great performing apps

Slow queries distribution during the day.

Checkout which slow commands your app is sending to the database during the day

Normalized view.

Get a normalized view of your databases in a single dashboard and focus only in maximizing performance and availability of your applications.

NAZAR has become a fundamental part of our operations/managed services at Dedalus.

Mauricio Fernandes - CEO at Dedalus

We hired the services of NAZAR aiming to improve the performance of our database. We were pleased with the result, achieving a drastic reduction in load, making it possible to reduce 40% of AWS infrastructure costs.

Reginaldo Stocco - CEO at VHSYS

Performance directly impacts the revenue of an e-commerce. NAZAR helps Eventick keeping their queries to the database always fast and efficient. Unlike web applications that can scale in minutes, the database has to be always with a great performance.

Cirdes Henrique - CTO at Eventick

For 2 months, we were facing a problem of high CPU usage peaks. Three thousand coupons were being issued per second. By using NAZAR, in a few hours we could identify the problematic query and were able to finally fix the problem. The tool simply helps us to identify the critical queries that need to be optimized.

Lionardo Nogueira - CTO at Cuponeria

When we started monitoring the database’s server, we could see in the report that 2 queries were responsible for almost 100% of the database’s resources usage. After optimizing those two commands (with some little changes) the CPU usage fell drastically. Now we have a db.t2.small RDS instance with minimal CPU utilization (around 2%), with the same amount of users and paying less than 8% of what we used to pay.

Vinicius Heimbeck - Founder at Upbeat Games

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