1TB production to 50GB test data for two QA users, in 10 minutes, MySQL
I have a large production database and need only partial, secured data for two QA users Source production database is large; 1TB that includes 100
Database Administrators are extremely busy with creating physical database copies, refreshing and copying data between production,
test environments, DevOps processes and more.
Choosing the right provision method, configuring source and
target database, accurately forecast storage requirements, and eventually testing properly is a lengthy complex processes.
Developers and testers experiencing long wait cycles, due to significant time of creating and refreshing physical copies and increased storage costs.
Our DataOps suite is an innovative, self-service platform for streamlined database copy, refreshes and builds that simplifies and accelerates DevOps pipelines, test data management and cloud adoptions.
Speed up your go-to-market and application with fast, secured provisioning. Reduce wait-time for any type of test data to minutes.
Our unique TDM capabilities are tailored specifically for DevOps, R&D, and QA teams, supports leading databases and CI/CD tools. it provides its users with full self-service control both at source and target while accelerating execution and reducing source down time. QA teams can now access their test data, without contacting IT support.
Turns complex database
copy processes into
a one-click workflow
Mask private and sensitive
data in test environments
Automatically generate
synthetic data, in minutes
Provision zero-storage
data copies, in minutes
Connect our API to CI/CD
automation tools
Secured and truly hassle-free environment refresh, through data masking engine, preventing sensitive data from reaching unprotected databases. IT managers can simply define the fields containing sensitive data, which are scrambled on the fly during refresh. The masking algorithms include tokens, values-replace, ID generation (credit card numbers, SCN), random values generation, deletion of sensitive data, etc.
Synthetic test data does not use data from your production database, but produces artificial data based on the data scheme for that database. The synthetic data is generated automatically in record time, to the tune of billions of records per hour, faster than any solution. Most generation rules are chosen automatically, and you can fine tune some or create additional rules.
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