Validatar Cloud is designed for organizations looking for a fully-managed, automated QA platform for their data. Our robust, multi-tenant architecture, designed for scale, ensures that your data QA solution is always ready for what you need.
Automate QA for data in Snowflake. Perfect for individuals getting started with QA.
$200 / mo
billed annually, or $250 monthly
Build confidence with a data QA hub & automate at scale across all your data platforms.
$2,000 / mo
billed annually
Nurture a mature QA culture with comprehensive automation & robust data governance.
Contact Sales
Schedule a 30 min call to discuss pricing options
Validatar Server is designed for organizations looking for an automated data QA platform deployed in their own environment. It can be easily installed and managed behind a firewall, giving full control of all data & system access.
Build confidence with a data QA hub & automate at scale across all your data platforms.
Contact Sales
Schedule a 30 min call to discuss pricing options
Nurture a mature QA culture with end-to-end automation & robust data governance.
Contact Sales
Schedule a 30 min call to discuss pricing options
Data Quality Monitoring
With a few clicks, you can configure comprehensive monitoring of any of your data assets. Get alerts about potential issues with the data you care about most without having to write a test. Included in all editions.
Snowflake Account Monitoring
The Snowflake Quick Start helps you monitor and administer your Snowflake account with over 100 profiles and tests. Catch issues before they turn into a big bill at the end of the month. Available as Add-On for purchase.
WhereScape RED Monitoring
The WhereScape RED Quick Start helps you monitor all aspects of your dev lifecycle and ELT processes with over 120 tests for your WhereScape metadata repository. Available as Add-On for purchase.
Tableau Server / Online Test Pack
The Tableau Server Test Pack allows you to monitor all your published content on Tableau Server or Tableau Online. You can also directly test the data being displayed in Tableau dashboards and reports. Available for free from the Validatar Marketplace.
A Creator license is for users who manage data sources, update metadata, create & update tests. Often these are assigned to data engineers, QA team members, and data stewards.
A Viewer license is for read-only users who use Validatar to find data, view profiles, ask questions, and see data quality results. This could be anyone in the organization that interacts with the data.
Validatar can connect to almost any data source. It connects to structured database data sources through the use of database drivers and SQL statements. If you have an ODBC driver for your data source, we can connect to it.
Validatar can also connect to non-database sources using Python. We provide a structure for securely executing Python queries to bring back data and metadata to Validatar. This way you can connect to APIs, file systems, and many more types of semi-structured or un-structured data from Validatar.
Validatar can also connect to data in separate clouds or behind your firewall. Our Validatar Data Agent allows you to install a lightweight local service inside your system and it will check if Validatar has any queries to be processed. This enables Validatar to process data from local systems even though Validatar doesn't have access to connect directly into your environment.
We are adding support for more types of data sources and drivers with every release. Please contact sales if you have any questions, and learn how Validatar can connect to your data.
The Validatar platform runs a variety of QA processes, including refreshing metadata, profiling, tests, reports, etc. These processes can be triggered by Validatar jobs and schedules, or CLI & API calls.
Depending on which edition you are using, Validatar will run a certain number of these processes in parallel at any given time. If you need to run more concurrent processes than are included with your Validatar edition, please contact sales.
“84% of CEO’s are concerned about the quality of data they are basing their decisions on.”
- Forbes
“Poor data quality costs organizations an average of $15M per year.”
- Gartner
“Up to 30% of potential revenue is lost by organizations due to poor data quality.”
- OVUM RESEARCH
"Effective Business Intelligence Starts With High Quality Data"
- Simran Jindal