Are AWS RDS Extended Support charges eating into your budget?
Need to upgrade your database, but unsure if it’s safe?
Lacking the data engineering resources needed for a smooth migration?

Our risk mitigation assessment tool can help. By analyzing your database traffic, we quickly identify and prioritize incorrect, invalid and slow-performing queries in your new database upgrade. We also detect deprecated SQL syntax, new reserved words, and offer advice on queries with version-specific configurations that should be reviewed. By addressing these critical issues, you can upgrade with higher confidence.

Upgrade Your Production Database with Confidence

Key Features:

  • Supports MySQL, MariaDB, Percona Server, and PostgreSQL databases operating on-premise, self-hosted, or managed on AWS/GCP.
  • Runs independently from existing testing infrastructures, ideal for operations teams.
  • Eliminates the need for a complex application stack or dedicated end-to-end testing environments.
  • Captures 100% of data access patterns for thorough data access validation.
  • Validates performance and responsiveness during different typical production workloads.
  • Quickly identifies and addresses anomalies after new product releases using established baselines.
  • Allows testing of various infrastructure and software configurations with a clear understanding of their overall impact.
  • Ensures test environment fidelity and coverage by comparing production workloads.

Example Reporting

SQL Errors

Catch statements that produce SQL errors in the next version. Is your WordPress installation ready for MySQL 8.0?

 16 Error(s)
  SQL: "SELECT YEAR(post_date) AS `year`, MONTH(post_date) AS `month`, count(ID) as posts FROM wp_posts  WHERE post_type = 'post' AND post_status = 'publish' GROUP BY YEAR(post_date), MONTH(post_date) ORDER BY post_date DESC;"
  Error 1055 (42000): Expression #1 of ORDER BY clause is not in GROUP BY clause and contains nonaggregated column 'wp_blog.wp_posts.post_date' which is not functionally dependent on columns in GROUP BY clause; this is incompatible with sql_mode=only_full_group_by
  SQL: SELECT ST_GeomFromWKB(Point(0, 0));
  ERROR 3037 (22023): Invalid GIS data provided to function st_geomfromwkb.

  SQL: SELECT * FROM mysql.character_sets;
  ERROR 3554 (HY000) at line 70: Access to data dictionary table 'mysql.character_sets' is rejected.

Ideal for MySQL 5.7 EOL Uprades

Are you stuck with the AWS RDS MySQL 5.7 EOL (*) and the additional expense of AWS Extended Support.

  • Our agent deploys directly in your AWS account. You have total control over your security.
  • No application queries, PII or business data leaves your AWS Account.
  • Visualize critical impacts with a single panel dashboard.

(*) AWS RDS MySQL 5.7 EOL started on March 1st. AWS RDS PostgreSQL 11 EOL started on April 1st. Don't keep paying for the Extended Support.

Get a special offer for this time-critical situation. Purchase your first month subscription and get a second month FREE.

Use Cases

Database Product Migrations

Risk Mitigation Upgrades

Support major and minor database upgrades and database migrations including End of Life (EOL) events.

Identify and prioritize incorrect, invalid and slow-performing queries.

New Product Releases

New Release Validation

Validate new internal and external products data access patterns for any changes. Identify all modified SQL statements before the product release.

Identify and prioritize incorrect, invalid and slow-performing queries.

Code Coverage for SQL

SQL Test Coverage

How robust are your unit, integration and end-to-end testing processes?

Be able to see query profiles run in production that are not run in testing.

Major Database Upgrade Use Cases

Our pricing plan made simple

All types of businesses can support managing your data access patterns for your internal or purchased applications.


Best option for small startup companies with one product and use a Test and Production environment setup.

$300 /mo
  • Test/Production BaseLines
  • 10 Experiments
  • User Accounts: 1 user
  • Query Volume: < 10,000 per hour
  • Data Retention: 30 days
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Supporting growing business applications with multiple environments and multiple testing processes.

$600 /mo
  • Multiple BaseLines
  • 40 Experiments
  • User Accounts: 5 users
  • Query Volume: < 500,000 per hour
  • Data Retention: 3 months
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For large scale enterprise with multiple applications, use multiple environments and may have multiple data products.

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  • Unlimited BaseLines
  • Unlimited Experiments
  • User Accounts: Unlimited
  • Query Volume: Unlimited
  • Data Retention: 12 months
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