Enov8 enhances its Platforms with Data Orchestration
Sydney – 11 March 2022 – Enov8 today announced that it has enhanced its Test Environment & Test Data offerings by providing a “Data Orchestration Appliance” based on Containerization and Data Cloning (also known as ‘Data Virtualization’) technology.
Niall Crawford, Enov8 Chief Information Officer, said “This new capability allows developers to bring the more complex data aspect, i.e. the management of their Databases, into line with their existing DevOps and CICD best practice. Simply put, we are making data deployment easy.”
Code Name vME (short for “virtualise ME”) & symbolised by the sheep (quick nod to Dolly), the new appliance will address the most common DevTest data management issues. Including:
- Time to Deploy Data & Environments varies from Days to Weeks.
- Application data often demand large & costly storage footprints.
- Stale (or Old) “Point-in-Time” Data impacts Quality endeavors.
- Bottlenecks, through over reliance on specialist DBA/Data SMEs for service.
- No ability to retest, that is data snapshot & roll-back, is not an option.
Leveraging standard containerization and data agnostic ‘snapshot & cloning’ technology, vME will allow you to easily orchestrate all major databases, including: Couchbase, IBM DB2, MariaDB, Microsoft SQL Server, MongoDB, MySQL, Oracle & Postgres.
The new appliance is anticipated to bring major benefits to the DevOps & DataOps community. Including:
- x100 Accelerated Data Deployment. That is, vME allows you to deploy databases in seconds.
- x10 Reduced Storage Requirements. vME databases are tiny (in MBs not TBs).
- Promotes Data DevOps as code. Codifiable & DevOps-able through easy-to-use CLI & APIs.
- Better Test Environment housekeeping. Easily provision & decommission unused environments.
- Improved productivity. Spin up standalone databases to support individual or team activities.
Getting Access to vME
As part of the early adopter scheme, the vME solution will be made available to Enov8’s existing Environments & Data clients. In addition, vME will be provided as a standalone ‘appliance’ from May onwards. If you’re interested in learning more, or becoming an early adopter, then contact us at enquiries@enov8.com.
About Enov8
The IT & Test Environments & Data Company. Helping companies accelerate delivery and be “agile at scale” through insights & orchestration of your IT & Test Environments, Data & Releases.
Our products include:
Enov8 Environment Manager – A platform that centrally governs all your systems and components across the Software Development Life Cycle. Capabilities include modelling of environments, configuration management, event & release coordination, system contention management, change & incident support, orchestration through automation & central dashboarding.
Enov8 Enterprise Release Manager – A platform that centrally governs all releases and deployments. Capabilities include Release Scoping, Project Registration, Master Scheduling, Project Tracking, Environment & System Contention Management, Implementation & Deployment Coordination, Deployment Version Tracking, Post Implementation Reviews and “Real Time” Executive Reporting.
Enov8 Data Compliance Manager – A DataOps platform that focuses on Data Compliance and Test Data Management. Key capabilities include automated “PMV” (Profiling, Masking and Validation), Data Mining and a DataOps (DevOps) library for central management and orchestration of all your data operations.
Press Releases
Why Generate Everything? Generate Only What’s Missing
There's a quiet assumption baked into a lot of synthetic data strategies: if you need test data, you generate it. All of it, from scratch, every time. It feels like the modern, AI-powered answer to test data. But it's often the slow, expensive answer to a problem...
MongoDB Data Masking: Benefits, Challenges, and Best Practices
MongoDB powers many modern applications, from customer-facing platforms to analytics systems and cloud-native services. As organizations store increasing amounts of customer, employee, financial, and operational data within MongoDB, they must protect that information...
Test Data Management for Salesforce: A Practical Guide
Salesforce environments contain some of an organization's most valuable information, including customer records, sales opportunities, support cases, financial information, and business process data. While teams need realistic data for development, testing, training,...
What is a QA Environment? A Beginners Guide
Software development is a complex process that involves multiple stages and teams working together to create high-quality software products. One critical aspect of software development is testing, which helps ensure that the software functions correctly and meets the...
What Is Privacy by Design? 7 Principles, Benefits, and GDPR
Millions of dollars are spent each year on data security and privacy initiatives, yet organizations continue to face breaches, unauthorized access, and growing compliance challenges. Rather than treating privacy as an afterthought, many organizations are turning to...
Best DataOps Tools: 8 Platforms Worth Evaluating in 2026
Choosing a DataOps tool has never been harder. The market now includes everything from pipeline orchestration platforms and observability tools to governance solutions and test data management software. While all of these products support DataOps initiatives, they...
What is Data Fabrication? A Testing-Focused Explanation
In today's post, we'll answer what looks like a simple question: what is data fabrication? That's such an unimposing question, but it contains a lot for us to unpack. Isn't data fabrication a bad thing? The answer is actually no, not in this context. And...
Snowflake Data Masking Explained: A Complete Guide
Most companies don’t realize how many copies of sensitive data they’ve created until it becomes a problem. A single Snowflake environment can contain customer, financial, employee, and analytics data all at once. And once that data gets copied into development or...
What Is an AI Control Tower? A Complete Enterprise Guide
As enterprise AI environments continue to grow, many organizations are looking for better ways to manage visibility, governance, workflows, and operational coordination across increasingly complex systems. That’s where AI control towers come in. In this post, we’ll...
MariaDB Data Masking: Methods, Challenges, and Best Practices
Organizations need realistic data for testing and development, but using raw production data in non-production MariaDB environments can create serious security and compliance risks. MariaDB data masking helps solve this by replacing sensitive information with...