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Top 6 Data Virtualization Software
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Top 6 Data Virtualization Software

Top 6 Data Virtualization Software
4 (80%) 12 ratings

Most organizations run a number of data management systems such as SQL, Oracle, and other servers to help in the consolidation of data. However, these systems rare work well with each other. Thus, the organization faces challenges in integration and storage of large data. To provide a solution to the queries and challenges posed by a huge amount of data, Data Virtualization software provides real-time and reliable information quickly, which in turn assist in impacting the major business decision. Data Virtualization software main goal is to provide a single access to information by deriving it from a wide range of database.

Top Data Virtualization Software : Informatica, Denodo, VMware, Cisco Systems, Red Hat Cloud, Amazon Elastic Compute Cloud (EC2) are some of the Top Data Virtualization Software.

What are Data Virtualization Software?

Data virtualization is any approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data and can provide a single customer view (or single view of any other entity) of the overall data.

Data virtualization is considered  to be an alternative to data warehousing and ETL. Unlike the ETL  process, the data remains in place, and real-time access is given to the source system for the data. This reduces the risk of data errors, of the workload moving data around and a single data model.

Data Virtualization is the process of abstracting, modifying, merging and delivering data from different sources without interfering or replicating the data. Data Virtualization allows the user to access data or applications without worrying about its exact location. The recent application of Data Virtualization is cloud computing technology. Data Virtualization determines the optimal way to retrieve data from a specific location upon the submission of a query by the user. The system eliminates the user information such as the absolute path of obtaining the data, or the format. Data Virtualization can be viewed as a modern integration and can replace traditional data integration as it delivers real-time data with lower cost, more speed and agility.

Data Virtualization are considered to improve business intelligence by allowing a huge amount of data analyzation. Here are some of the Data Virtualization tools features they provide to a business:

  • Data Catalog: Data Virtualization provides an organized system that allows the user to search discover and consume data from different sources.
  • Data services layer: Data Virtualization can be used between original and derived data, applications or devices to provide flexibility and organize components that perform the same function.
  • Data lifecycle management features: Data Virtualization automates the processes involved in organizing the data into different tiers depending on age or size and automates the migration of data from one tier to another based on the criteria.
  • Data Unification: Data Virtualization system allow user obtain data from different sources regardless of location and structure and display it to the user in one unified form, thus simplifying the data for further processing and analysis.
  • Integrated Management: Data Virtualization has highly integrated graphics that allow the system to perform intuitive and approachable analytic capabilities.
What is Data Virtualization Software

What is Data Virtualization Software

Data Virtualization software offers the user ability to improve and grasp information hiding in their data. The primary advantages offered by Data Virtualization to any organization include:

  • Quick Access to Relevant Information: Visual data discovery provide a faster access to data that improves decision making in a business.
  • Provide High performance transaction processing systems. In addition to Business Intelligence reporting, Data Virtualization provides products have been integrated in transaction processing systems and in addition the power innovativeness search.
  • Easy Business analytics: Data Virtualization makes data available for business analytics. The system removes the need of moving data in to a single data base.
  • Reduced data governance complexity: Data Virtualization makes it to manage data availability, usability, integration and improves the security of data within an organization.
Data Virtualization Software Benefits

Data Virtualization Software Benefits

Top Data Virtualization Software

Informatica, Denodo, VMware, Cisco Systems, Red Hat Cloud, Amazon Elastic Compute Cloud (EC2) are some of the Top Data Virtualization Software.
Top Data Virtualization Software
PAT Index™
 
 
 
 
 
 
 
 
 
1

Informatica

Informatica provide solution that is optimized to collect both structured and unstructured stream and machine data directly into a high performance data warehousing appliances, including Hadoop as well as other analytic platforms. Accessing and integrating new data sources for maximum advantage to the company as well as allowing data streaming collection using LAN or WAN. Informatica also corrects, standardize and replicate information before they are loaded. Informatica allows users to redirect workloads for better performance as well. This program provides quality insights that are valuable for the business to ensure better data management as well as solution providing. Informatica’s big…

Bottom Line

Provides out-of-the-box, high-performance connectivity to all enterprise data, eliminating the risk and cost of hand coding.

7.7
Editor Rating
7.4
Aggregated User Rating
3 ratings
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Informatica

2

Denodo

Denodo provides data virtualization, unmatched performance, unified access to the broadest range of enterprise, big data, cloud and unstructured sources, and the most agile data services provisioning and governance . Denodo Platform offers the broadest access to structured and unstructured data residing in enterprise, big data, and cloud sources, in both batch and real-time, exceeding the performance needs of data-intensive organizations for both analytical and operational use cases, delivered in a much shorter timeframe than traditional data integration tools. The Denodo Platform 6.0 speeds up the process of adopting a solution with brilliant data virtualization in the cloud. It also…

Bottom Line

Denodo provides data virtualization, unmatched performance, unified access to the broadest range of enterprise, big data, cloud and unstructured sources, and the most agile data services provisioning and governance .

7.6
Editor Rating
7.2
Aggregated User Rating
8 ratings
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Denodo

3

VMware

VMware Cloud Management Platform delivers a complete solution for managing a heterogeneous, hybrid cloud. Cloud Management Platform supports companies addressing cloud management requirements related to day one and day two IT operations for compute, storage, network and application-level resources across a hybrid and heterogeneous IT environment. The platform provides the underlying management capabilities to address two key IT initiatives: Streamlined and automated data center operations Application and infrastructure delivery automation. vRealize cloud management platform delivers intelligent operations that address the need to manage everything from applications to the complete infrastructure stack (compute, storage and network) across a hybrid landscape. VMware…

Bottom Line

Delivered in Standard, Advanced and Enterprise editions, vRealize Suite is designed to meet the specific needs of enterprises addressing Intelligent Operations, Automated IT to IaaS and DevOps-Ready IT use cases.

7.6
Editor Rating
8.5
Aggregated User Rating
3 ratings
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VMware

4

Cisco Systems

Cisco Intercloud Fabric for Business is deployed on premises, and allows connectivity to a large ecosystem of cloud providers to support hybrid cloud deployments for enterprises.Cisco Intercloud Fabric is a highly secure, open, and flexible solution that gives you complete freedom in workload placement, based on business needs. It applies the same network security, quality of service (QoS), and access control policies in public clouds that you enforce in the data center. And as capacity is added, there is no demarcation between internal and external clouds.  Cisco Systems builds highly secure hybrid clouds and extend company’s existing data center to…

Bottom Line

Cisco Intercloud Fabric is a highly secure, open, and flexible solution that gives you complete freedom in workload placement, based on business needs.

7.6
Editor Rating
7.8
Aggregated User Rating
2 ratings
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Cisco Systems

5

Red Hat Cloud

Red Hat is an open hybrid cloud infrastructure which makes a comapany’s IT organization do better in serving the business by delivering more agile and flexible solutions while protecting business assets and preparing for the future. To better provide services to their customers, Red Hat has different products that organizations can select from to see what fits their needs the most.Red Hat Cloud Infrastructure is a combination of tightly integrated Red Hat technologies that lets the business build and manage an open, private Infrastructure-as-a-Service (IaaS) cloud—at a much lower cost than alternative solutions. Users can deploy any combination of these…

Bottom Line

Red Hat Cloud Access makes it easy to migrate your current Red Hat subscriptions for use on Red Hat Certified Cloud Providers. All benefits of your subscription transfer to the public cloud.

7.6
Editor Rating
6.3
Aggregated User Rating
3 ratings
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Red Hat Cloud

6

Amazon Elastic Compute Cloud (EC2)

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.The software’s interface allows users to obtain and configure capacity with minimal friction while providing them with complete control of their computing resources and lets them run on Amazon’s proven computing environment.Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing customers to quickly scale capacity, both up and down, as their computing requirements change.The program changes the economics of computing by allowing a user to…

Bottom Line

Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment.

7.6
Editor Rating
8.8
Aggregated User Rating
1 rating
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Amazon Elastic Compute Cloud (EC2)

2 Reviews
  • November 27, 2018 at 10:59 am

    ADDITIONAL INFORMATION
    Data virtualisation has serious limitations. There are only a couple of edge cases where it makes sense to use this technology, e.g. you need to federate data across two existing data warehouses. DV for any other scenarios is highly problematic, e.g. some vendors suggest that DV should be used for creating a virtual warehouse federating queries across source systems. By and large this approach will run into all sorts of problems as I have outlined in my recent post on the limitations of data virtualisation. Another use case for data virtualisation is for prototyping across data sources and technologies. To some extent this use case makes sense. However, ingestion of raw data into a central hub is trivial and can be fully automated without the need for yet another expensive tool. Your network admins and source DBAs will love you for it as you only transfer the data once and not every time you federate queries across your data sources.

  • January 5, 2019 at 6:03 pm

    ADDITIONAL INFORMATION
    Disclaimer: I am a shareholder in a DV company, not mentioned in your article: (fraXses)

    Interesting article on Data Virtualisation. Just wondering if you have seen the latest paper from Gartner “Market Guide for Data Virtualization” (Published: 16 November 2018 ID: G00340606) which draws slightly different conclusions regarding the validity of the data virtualisation approach to managing data. They pointed out that “data virtualization has emerged as a mature data delivery style, with a significant percentage of the surveyed organisations making extensive use of it in production-level deployments for both analytics and operational use cases.” Another credible source, Rick van der Lans, an independent analyst at r20.nl, recently published a paper on DV under the title “Unifying Data Delivery Systems Through Data Virtualization” which is an interesting read on this topic.

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imanuel