TEST-READY DATABASES FOR DEVOPS

Docker Oracle and SQL Server Containers

Committed to Oracle or SQL Server in production? Now you can modernize your dev/test data layer to match the CI/CD (continuous integration/continuous delivery) and test automation you've already incorporated into your app layer.

Use your existing database instances, VMs, storage, and authentication infrastructure while modernizing with containers to continuously refresh end-to-end dev and test database environments at scale to match your production environment.

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AGILITY

Database Cloning in Seconds

Achieve faster time-to-market, higher quality, and improved compliance through CI/CD for dev/test and AI/ML experimentation. 

  • Incorporate production or synthetic data required for realistic test cases
  • Preserving statistical distributions of the production data for dev, test, and AI/ML.
  • Complete read/write tests that can run concurrently in isolated sandbox environments.
  • Run on premises or in the public cloud using Oracle, SQL Server, Azure SQL, Amazon RDS, MySQL, and PostgreSQL.
  • Safeguard data privacy through automated data masking and/or synthetic data generation.
Savings
BOTTOM LINE

Cost savings

Realize hard cost savings from reducing VM and storage overhead through database cloning and containerization.

Run dozens of writable SQL Server for Windows instances on a single quad-core server. Reduce VMs and save disk space utilizing zero-copy clones.

Slash database administration "wear and tear" typically associated with dev/test environments through configuration and orchestration using simple docker files, docker command line, REST API, or web application.

Blue DevOps Cost Savings
POWERFUL FEATURES

Here’s all the good stuff

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Oracle and SQL Server Containers

Consolidate many writable database named instances into single server and reduce VM sprawl. Zero copy database cloning saves disk space by only storing differences.

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End-to-end Environments

Coordinate database cloning, containerization, periodic production refresh, access control, masking, and scripts to customize and deliver complete database environments.

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Data Privacy

Maintain privacy and compliance through automated data masking of production data sets or intelligent sampling for synthetic data generation, preserving the statistical distributions of production data.

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Optimized for Microsoft

Windocks includes an independent native Docker port optimized use with Windows, SQL Server, and Azure. Linux support also available for orchestration of Oracle, PostgreSQL, and MySQL.

SITUATION

Novartis technology teams across UK, India, and Spain required access to shared cancer genomics sequencing data. With previous technologies, they had to track installs client-side to ensure they were working with the same test data.

SOLUTION

Novartis utilizes Windocks to automate the deployment of identical, terabyte-scale SQL Server images of test databases for teams across geographies, leveraging Windows authentication for access control and integrating with their own data masking solutions for data privacy.

IMPACT

Continuous delivery of technology improvements and data to clinicians and researchers.  Technology contributed to better research outcomes and compliance with patient data security regulations.

GartnerCoolVendor

"Deploy Windocks to reduce relational DBMS (RDBMS) release cycles and operational costs, and to improve operational efficiency and to deliver a continuous integration strategy."

 

ANALYST REPORT

Get the Bloor report on test data management

Find out how Bloor describes Windocks as "an up-and-coming database virtualisation vendor that it looks like it might be poised to shake up the space."

PRICING AND FEATURES

Automate Test Data Management in Your Environment

Get a demo to evaluate one of our paid plans or download the free community edition.

Standard

$799/mo

Easy way to get started with a single test data set.


  • Size of all databases - up to 1 TB
  • Checkmark Up to 20 concurrent images
  • Checkmark Up to 1 container and unlimited clones
  • 1x1
  • Checkmark Support for SQL Server, PostgreSQL, and MySQL databases
  • Checkmark Use with Web application, Docker, Kubernetes, Helm, REST API
  • Checkmark Azure DevOps, AWS Codepipeline, Rancher, Jenkins, Bamboo, Octopus, and more
  • Checkmark Email support

Enterprise+

By quote

Complete database orchestration solution with optional data privacy and integrations.


  • Feather-core-plus-circle Size of all databases - 5 to 99 TB
  • Feather-core-plus-circle 20/50/100 concurrent images
  • Feather-core-plus-circle 20/50/100 concurrent containers, clones
  • 1x1
  • Feather-core-plus-circle Support for Oracle, SQL, Server, PostgreSQL, and MySQL databases
  • Checkmark Use with Web application, Docker, Kubernetes, Helm, REST API
  • Checkmark Azure DevOps, AWS Codepipeline, Rancher, Jenkins, Bamboo, Octopus, and more
  • Feather-core-plus-circle Email and Zoom support
  • 1x1
  • Snapshot and reproduce changes made to database clones (docker commit database containers)
  • Checkmark Git integration for automatic application of database scripts
  • Checkmark SQL Server Distributed Transactions, Linked servers
  • Checkmark Database orchestration - Orchestrate Git, access control, other services
  • Checkmark User and group level access controls, database audit logs
  • Checkmark Dashboards
  • 1x1
  • Feather-core-plus-circle Scheduled incremental changes from production for always current production data clones
  • Feather-core-plus-circle Production snapshot database timeline, rollback
  • Feather-core-plus-circle Database masking with sensitive data discovery and classification, mask creation and data obfuscation
  • Feather-core-plus-circle Synthetic data generation to preserve statistic data distributions using built-in module (based on SDV), Microsoft AI Synthetic Data Studio (SDS), or using your own custom code
  • Feather-core-plus-circle SQL Server Agent, Reporting (SSRS), Analysis (SSAS) and Integration (SSIS) containers
  • Feather-core-plus-circle Storage system integration, including NetApp, Pure Storage, Cohesity, Actifio, and more
FAQ

Need clarification?

What is Test Data Management?

Test data management is the process of creating and delivering data appropriate for development and testing.

Historically, test data management has been done very manually by database administrators. However, with much of development and test in application development moving to DevOps, Windocks has led in bringing modern DevOps practices to the data side as well.

How does Windocks work with SQL Server?

While automation has been deployed more often in the cloud native environments and even on-premises in the Linux world, many Windocks customers rely on Windows Server to run SQL Server.  Windocks includes an independent, native port of Docker for Windows Server to allow isolated containers of Windows SQL Server instances, while leveraging the ecosystem of using docker files and scripting in conjunction with popular source control and build systems. 

By keeping SQL Servers in Windows, Windocks customers can continue to leverage their familiarity with Windows, Windows authentication for security, as well as their Windows toolchain, including SSRS (SQL Server Reporting Services).

Are there business benefits?

DevOps aims to improve agility and time-to-market through continuous delivery. As such, bringing DevOps into Test Data Management has brought Windocks customers significant top-line business outcomes.

There are also bottom-line benefits in the reduction of traditional virtual machine (VM) sprawl, disk space savings through zero-copy cloning, and licensing costs.

How do I get started?

The Windocks team would be happy to do a free consultation with you to discuss bringing DevOps into your Test Data Management.

You can also request a free evaluation of any of our editions, or download a limited community edition to just start working hands on with the software.

TECHNOLOGY

Highlighted Partners

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Microsoft Partner logo
AWS Partner logo
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