Data Virtualization tools are being deployed by companies that want to light a fire under their Data Discovery projects. With more modern, distributed analytics solutions becoming the new norm, companies crave the ability to obtain one single view of the totality of their data without having to do anything to it. As an added benefit, users are able to make real-time changes to data sets without disrupting the data as it physically sits, allowing them to virtually integrate disparate data sources quickly.
In Gartner’s recent Market Guide for Data Virtualization, the technology research giant goes into detail describing what kind of an impact Data Virtualization will have on the enterprise in the years to come. Virtualization tools offer data and analytics professionals a Data Integration strategy to limit data silos and address new analytical opportunities through enhancements in data access. As a strategic planning assumption, Gartner projects that by 2020, 35 percent of enterprise organizations will implement Data Virtualization in some form as a more forward-thinking option for Data Integration.
Whether its inclusion in the most recent Gartner Magic Quadrant, the release of an interesting new tool, or the securing of a new round of funding, these are the top 4 Data Virtualization providers we are keeping our eye on for 2017 and beyond:
Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies. These are automatically (or manually) chosen based on source constraints, application need and network awareness. Denodo data services scale horizontally and vertically to meet most analytical and application needs.
2. Red Hat
Red Hat JBoss Data Virtualization is a data supply and integration solution that sits in front of multiple data sources and allows them to be treated as a single source, delivering the needed data in the required form at the exact moment an application or user requests it. It performs on both Windows and Linux platforms, reducing adoption complexities. It offers top virtualization benchmarks for performance and scalability on both platforms.
3. Rocket Software
Rocket Data Virtualization solutions make it easy to (virtually) integrate data from multiple, disconnected sources into a new single, logical data source that can be accessed in real-time by your applications (BI, analytics, cloud, or mobile), without regard to location or format. Valuable information can be shared across the enterprise, giving users insight into evolving customer expectations, competitive threats, and emerging market opportunities.
4. Stone Bond Technologies
Stone Bond Technologies’ Enterprise Enabler is a virtualization platform that unifies information silos for visibility across multiple data source in real-time. This allows users to analyze business data as it is occurring to maximize the use of assets, minimize costs, and improve business processes. It is a highly scalable, single platform for configuring, testing, deploying, and monitoring Data Integration for a point solution or throughout the enterprise.
Latest posts by Timothy King (see all)
- Alation Nabs $23 Million to Extend Data Catalog Software - July 19, 2017
- What’s the Difference Between Information and Data? - July 18, 2017
- Data Streaming Enables Real-Time Decision Making - July 17, 2017