Top 8 Data Virtualization
SAP HANADenodoIBM Cloud Pak for DataAtScale Adaptive Analytics (A3)SAS Federation ServerStone Bond Enterprise EnablerTIBCO Data VirtualizationVarada
The UX experience is very good.
We can save data very easily.
The most valuable features are query optimization and the single language independence from the sources we're using to catch data.
The ability to connect to a lot of different sources.
What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data.
The GUI interface is nice and easy to use.
IBM Cloud Pak for Data vs. SAP HANA
Find out what your peers are saying about IBM Cloud Pak for Data vs. SAP HANA and other solutions. Updated: November 2022.
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Data Virtualization Articles
Data Virtualization Topics
Why do we need data virtualization?What are the benefits of data virtualization?What is datacenter virtualization?What are the benefits of data center virtualization?How does virtualization help in data center consolidation?
Why do we need data virtualization?
Data is generally transferred in different formats and methods and at speeds. Data virtualization allows for the collection, searching, and integration of data from various sources, so that users are able to integrate all the materials into one single model. Since the data is left at the source and accessed virtually rather than being transferred, this helps mitigate security challenges as well as saving money.
What are the benefits of data virtualization?
The benefits of data virtualization include:
• Zero Replication - An integrated view of the data is drawn from multiple sources without having to move or replicate it. This means fewer redundant copies and a reduction of storage footprints.
• Abstraction - Data can be accessed without its configuration or location information.
• Real-time access to the latest version of data.
• Agility - Data virtualization facilitates a universally semantic layer, which eliminates any enterprise computing disruptions.
• Logical abstraction and decoupling - Distinct data sources, middleware, and platform-specific consumer applications and their formats, interfaces, schema, query paradigms, and security protocols, are connected
• Semantic integration of data - A schema-based approach bridges the semantic understanding of web data and unstructured data.
• Provisioning of agile data services through different formats protocols than the original.
• Unified data security and governance - All data is cohesive and discoverable through a single virtual layer, exposing quality and redundancy issues and achieving consistent integration.
What is datacenter virtualization?
Datacenter virtualization is the process of transforming physical data centers hosted on servers into virtual data centers that use cloud computing technology.
In the past, organizations had to use data, file, and email servers in order to keep up with data processing and storage demands. This led to excessive operating costs and inefficiencies. By virtualizing data centers, multiple applications and operating systems can be run on a single server in the cloud, which greatly improves efficiency, allowing organizations to handle their entire IT framework collectively, often from a single central interface.
Datacenter virtualization used to be used as a tool for developing and testing server environments. Today it enables the delivery of huge amounts of diverse information to users when and as they need it.
Datacenter virtualization generally uses cloud computing technology along with virtualization software to replace equipment, such as traditional servers, that would be traditionally housed in a physical data center.
What are the benefits of data center virtualization?
The benefits of data center virtualization include:
1. Reduction of operating costs - Hardware can be one of the most expensive assets for an IT budget. When you virtualize a data center, you cut capital expenses by saving on buying and maintaining equipment. It also gives you more flexibility within your budget in terms of spending on operating costs and maintenance.
2. Improvement of application performance, including agility, flexibility, performance, and responsiveness, and alleviation of bottlenecks.
3. Minimization/elimination of downtime - Downtime can cost $100,000 or more per hour. The two keys to preventing downtime are:
a. A business continuity plan geared toward minimizing business disruptions. When data centers are virtualized, you don’t need to worry about server hardware failure, which causes a major business disruption. Instead, your IT team can perform upgrades and server maintenance without scheduling in any downtime. In addition, overloaded virtual machines can be migrated across several servers in order to better balance workloads and reduce disruptions
b. A disaster recovery strategy designed to reinstate your company’s operations in the event of data loss from a fire, a flood, a virus, an employee mistake, or a server failure. A virtualized data center is easier to back up than physical hardware servers, and will allow you to get up and running again more quickly.
4. Lowering of heat buildup - Using less physical hardware means less heat production, which prevents equipment failure and shutdown and keeps your data safe.
5. Savings of staff resources and time, allowing your employees to focus on other important IT and business issues.
How does virtualization help in data center consolidation?
Data center consolidation encompasses strategies and technologies that enable IT architectures to be more efficient. This can be done by consolidating several data centers into one or by making one specific data center run more efficiently on fewer resources. Data center virtualization can assist in this process by increasing IT flexibility, scalability, and agility while at the same time saving a significant amount of money. When data centers are virtualized, workloads can be deployed faster, performance increases, and operations can become automated, which results in IT that is easier to manage and costs less to operate.
Denodo vs. IBM Cloud Pak for Data
Find out what your peers are saying about Denodo vs. IBM Cloud Pak for Data and other solutions. Updated: November 2022.
653,584 professionals have used our research since 2012.