Denodo, a leader in data virtualization, has announced that Gartner® has once again positioned the company as a “leader” in the 2021 Magic Quadrant for data integration tools. for data integration is experiencing a new moment, driven by the requirements of multi-cloud and hybrid data integration, augmented data management and data fabric designs.”
The full and supplemental report of the Magic Quadrant, published on August 25, 2021 and authored by Ehtisham Zaidi , is available here.
What is data virtualization?
The main technology to enable modern data integration and management solutions, has the following main characteristics:
-Quickly connect different data sources, both structured and unstructured. Catalog your entire data ecosystem. Data remains in the original sources and is accessed on demand, without the need to create a copy.
-Create data models that adapt to the needs of those who consume them, even in multiple sources. Hide the complexity of your back-end technologies from end users .
-The virtual model can be consumed and secured using standard SQL and other formats such as REST, SOAP and Odata .
In addition, it offers advantages for companies such as:
- Faster data availability for business users.
- Reduction in data replication as much as you want.
- Ability to replace legacy systems, cloud migrations and multi-cloud deployments with minimal changes and costs.
- Making the most of data so that business initiatives of artificial intelligence and machine learning are successful.
More information:
There is a growing trend to use cloud technologies to achieve greater agility, flexibility and scalability. However, migrating applications and data from the data center to the cloud comes with challenges in terms of downtime, security, regulatory compliance, and latency issues, in the case of hybrid or multi- cloud solutions.
Regardless of whether it is exclusively implemented in a public cloud, private cloud, hybrid cloud or in a multi-cloud environment, Denodo Cloud tries to be the solution to these challenges. This is due to the fact that it creates an abstraction layer and thus achieves transparency and clarity about the location of thousands of data sources.
