Software architects, DBAs, data engineers, analysts, and product and engineering managers use our solutions for the following purposes:

• Increasing app speed for revenue growth

  Database performance improvement reduces query execution time and leads to more responsive user applications, which, according to research, has a dramatic impact on revenue growth.

• Reducing infrastructure costs

  Increased performance makes it possible to use cheaper hardware for database servers. Furthermore, more effective utilization of database resources has a positive impact on the performance of the application itself, which lowers costs by up to 30%.

• Increasing engineers’ productivity

  Thanks to the automatic assistant, engineers are able to identify the causes behind database malfunctions faster and with a broader range of competencies, allowing the same number of employees to service more projects and making it possible to hire less expensive service specialists.

• Eliminating erroneous business decisions

  Logic error detection in SQL queries reduces the possibility of incorrectly interpreting data used to build hypotheses and make business decisions.

• Preventing data leakage

  Architectural errors in database design can lead to loss or leakage of data, as well as direct loss of money in the form of lost profits or erroneous calculations. In the majority of cases, these errors are not detected in the testing process.

• Detecting security problems

  Unprocessed exceptions when a request is executed; queries that return more data than necessary; excessive queries that can lead to freezeups — such issues are difficult to identify before they arise.

How it works

Easy to get started - about 10 minutes

Get everything under control

• Anytime

  At any time, you can upload SQL queries and updated database schemas in the manual mode in the client area.

• Anywhere

  View the history of detected issues and summary statistics in the client area.

• Immediately

  If additional issues are found after new analyzer rules appear, we will inform you about it.

• Collaboratively

  Share reports with your teammates, partners, or auditors using personal links.

Privacy

• No database connection needed

  We process only the source code of DDL/DML SQL queries without any database connection. You choose what you want to analyze and can share any part of your queries.

• No data needed

  You don’t need to disclose database entries. We process only the source code of DDL/DML SQL queries without database content.

• No need to install proprietary software

  All you need is internal database tools for extracting queries.

• No application source code needed

  We don’t need your application source code, only your SQL queries.

• No public access to source code

  We never publish your SQL query source code in any publicly available sources.

• No public access to issue reports

  We never publish reports on your issues in any publicly available sources.

Platform features

• Statement static code analyzer

  • Warning about architectural approaches affecting performance (query rewrite, index addition, etc.)
  • Code Smell warning
  • List of potential exceptions that may arise during a query call (violations of UNIQUE KEY constraint, FOREIGN KEY constraint, CHECK constraint, TypeCast constraint, etc.)
  • List of affected read/write indices
  • List of affected read/write relations
  • And more...

• Project static code analyzer

  • List of columns never used in any of the project queries
  • Unused default column values (replaced with actual values in all INSERT queries, not used in any of the UPDATE queries)
  • Unused indexes
  • Unused tables, views, materialized views
  • Warning in case of different queries referencing objects with incompatible structure inside JSON columns
  • Read-only/write-only tables
  • And more...