Windocks releases first DevOps data repo for Oracle, SQL Server, Postgre and MySQL, for Docker, Kubernetes and database instances on Linux, Windows and cloud

Providing for data what Docker provides for applications

July 12, 2021, Bellevue, WA. Windocks today announced the release of version 6.0, the first secure, cloud native DevOps data repo. The release extends Windocks Microsoft Windows SQL Server data virtualization and container technology to Oracle, SQL Server, PostgreSQL, MySQL, and NoSQL environments on Windows and Linux, to provide a distributed cross platform data repository with unified management plane and API service. The Windocks DevOps data repo delivers agile, secure data:

• Versioned, multi-database and multi-terabyte environments are delivered in seconds, with minimal storage. Databases can now be efficiently included in DevOps processes.
• Self-service and automated pipelines deliver data to Docker containers, Kubernetes, and equally for conventional database instances, for an enterprise-friendly solution.
• Standard Linux and Windows servers host the repo and work with any enterprise or cloud storage, on any on premise infrastructure or cloud.
• Security is built in. Data masking, data quality, synthetic data, encryption, and role and policy based access are built into the data image, with a complete audit log.
• An open platform with industry standard APIs, the repo is supported by a rich ecosystem of ISVs and cloud services.

“Data teams are now free to crash the DevOps party, with versioned, fast data,” said Ramesh Parameswaran, CEO of Windocks. “I invite people to evaluate the Windocks DevOps data repo with a free, supported pilot, and discover why 9 out of 10 evaluators become customers!”

The DevOps data repo software is available to customers for a free, supported evaluation from Windocks directly in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on Amazon Web Services, Inc. (AWS).

“Amazon Relational Database Service (Amazon RDS) customers can now add data to continuous integration and deployment (CI/CD)”, said Jeff Carter, Vice President of Relational Databases at AWS. “Customers benefit with better production quality, faster release times, and reduced mean time to recovery by using fast production data clones in their DevOps pipelines.”

“Windocks delivers the on demand development and test environments we need,” said Mark Eichinger, CEO of FreightTracer, a Windocks customer. “A VM with 20 isolated containers is efficient, cutting our infrastructure costs in half, while speeding delivery of feature releases.”

The Windocks DevOps data repo enables customers and partners to assemble best-of-breed solutions for DevOps data support by combining the Windocks DevOps data repo with industry leading solutions for data masking, data quality, and synthetic test data from companies like Curiosity Software.

Huw Price, CEO of Curiosity Software, shared “Windocks is a game-changer for organizations serious about DevOps. Windocks removes the time and cost associated with making physical data copies, cloning data in seconds from a simple UI or restful API call.”

David Friedland, Senior VP, IRI. “Enterprise adoption of public clouds is leading to modern approaches to test data management and DevOps. Partnering with Windocks gives IRI competitive advantage, as our combined solutions deliver unbeatable value.”

Rajesh Parthasarathy, CEO of Mentis. “Growth in DevOps leads directly to growing demand for DataSecOps solutions. We share Windocks’ vision for secure, on demand data within the enterprise.”

About Windocks

Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, Migros-Gruppe, American Family Insurance, and other enterprises rely on Windocks for versioned, secure, on demand data for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on premise or cloud, for data delivery to Docker containers, Kubernetes, and conventional database instances.