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What is Quality Data Worth?

 

Explore Validatar Editions & Launch Your Data Quality Journey

  • Validatar Cloud
  • Validatar Server

Validatar Cloud

Validatar Cloud is designed for organizations looking for a fully-managed data quality automation platform. Our robust, multi-tenant architecture, designed for scale, ensures that your data quality solution is always ready for what you need.

Pro

Automate data quality in Snowflake. Perfect for individuals & small teams getting started with data quality.

$200 / mo

billed annually, or $250 monthly

Start Free Trial

  • 1 Creator
  • 1 Data Source
  • 6 Projects
  • 1 Concurrent DQ Process

Is Pro Right for You?
  • Your data is already in Snowflake
  • You are manually testing data & need an automated data testing platform
  • You only have a few data sources to test
  • You are just getting started with data quality
Most Popular

Team

Build confidence with a data quality hub & automate at scale across all your data platforms.

$2,000 / mo

billed annually

Start Free Trial

  • 20 Creators + 100 Viewers
  • 20 Data Sources
  • Unlimited Projects
  • 4 Concurrent DQ Processes

Is Team Right For You?
  • You are migrating data to the cloud & want to ensure data is correct
  • You need automated testing data across many platforms
  • Your organization needs visibility into data quality
  • You need to integrate automated data tests into your data pipelines

Enterprise

Nurture a mature data quality culture with comprehensive automation & robust data governance.

Contact Sales

Schedule a 30 min call to discuss pricing options

Start Free Trial

  • 50 Creators + 500 Viewers
  • Unlimited Data Sources
  • Unlimited Projects
  • 16 Concurrent DQ Processes

Is Enterprise Right for You?
  • You need to automate every aspect of data quality monitoring, testing, & reporting
  • Your organization needs to test data at scale & continuously
  • You need robust, integrated data governance & data quality
  • You must comply with data quality audits & regulations

Validatar Server

Validatar Server is designed for organizations looking for a data quality automation platform deployed in their own environment. It can be easily installed and managed behind a firewall, giving full control of all data & system access.

Team

Build confidence with a data quality hub & automate at scale across all your data platforms.

$2,000 / mo

billed annually. Contact Sales to learn more

Start Free Trial

  • 20 Creators + 100 Viewers
  • 20 Data Sources
  • Unlimited Projects
  • 4 Concurrent DQ Processes

Is Team Right for You?
  • You are migrating data to the cloud & want to ensure data is correct
  • You need automated testing data across many platforms
  • Your organization needs visibility into data quality
  • You need to integrate automated data tests into your data pipelines
Most Popular

Enterprise

Nurture a mature data quality culture with end-to-end automation & robust data governance.

Contact Sales

Schedule a 30 min call to discuss pricing options

Start Free Trial

  • 50 Creators + 500 Viewers
  • Unlimited Data Sources
  • Unlimited Projects
  • 16 Concurrent DQ Processes

Is Enterprise Right for You?
  • You need to automate every aspect of data quality monitoring, testing, & reporting
  • Your organization needs to test data at scale & continuously
  • You need robust, integrated data governance & data quality
  • You must comply with data quality audits & regulations

Frequently Asked Questions

What is the difference between a Creator and a Viewer?

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.

Can I add more Creators or Viewers?
Yes, each edition (Pro, Team, Enterprise) includes a certain number of users in the base plan. If you need more Creators or Viewers, contact Sales for pricing. 
How do I manage Dev, Test, and Prod environments?
Most customers use projects in Validatar to separate Dev, Test, and Prod workloads. If this is not enough for your needs, we can work with you to craft a custom Enterprise solution with multiple instances of Validatar Cloud or Validatar Server.
What is a data source in Validatar?
In Validatar, each connection is called a "data source." A data source is defined by a connection string and credentials that allow for secure access to a certain set of data.
Can Validatar connect to different kinds of data sources?

Validatar connects to structured data sources through a variety of drivers. Currently, all of our interactions with data sources are through SQL. If you have an ODBC driver for your data source, we can connect to it.

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.

What if I need to connect to more data sources than are included?
Each edition (Pro, Team, Enterprise) includes a certain number of data sources (connections) in the base plan. If you need more data sources, contact Sales for pricing.
Do you offer training & implementation services for Validatar?
Yes, we offer product training to learn how to use Validatar, as well as Quick Start Packages to help you get started with data quality automation immediately. Contact Sales for more information.
What is a Concurrent DQ Process?

The Validatar platform runs a variety of data quality 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

Have more questions? We would love to hear from you!

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