Data Virtualization Tools
Data Virtualization Tools Overview
Best Data Virtualization Tools include:
TIBCO Data Virtualization, Oracle Data Service Integrator, Denodo, Red Hat JBoss Data Virtualization, Actifio Sky, Oracle Big Data SQL Cloud Service, AtScale, and Stone Bond Enterprise Enabler.
Data Virtualization Products
(1-19 of 19) Sorted by Most Reviews
TIBCO Data Virtualization
TIBCO Data Virtualization is an enterprise data virtualization solution that orchestrates access to multiple and varied data sources and delivers the datasets and IT-curated data services foundation for nearly any solution.
Oracle Data Service Integrator provides companies the ability to develop and manage federated data services for accessing single views of disparate information. Oracle Data Service Integrator is standards based, declarative, and enables re-usability of data services. For more information…
The Oracle Big Data Cloud Service is a PaaS supporting data scientists with secured and encrypted Hadoop clusters, running a diverse set of workloads from Hadoop-only workloads (ETL, Spark, Hive etc.) to interactive, all-encompassing interactive SQL queries using SQLon-Hadoop tools…
Enterprise Enabler is a data virtualization or data integration platform from Stone Bond Technologies in Houston, Texas.
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.
Presto is a distributed SQL query engine used for large-scale, interactive analytics, enabling users to run analytic SQL queries across a wide variety of data sources with elastic scaling. Starburst Presto Enterprise Edition (EE) is Starburst Data's paid solution that supplies performance,…
K2View, headquartered in Dallas, provides an operational Data Fabric dedicated to making every customer experience personalized and profitable. The platform continually ingests all customer data from all systems, enriches it with real-time insights, and transforms it into a patented…
Keenlog Analytics provides intelligence to the SMB business and supports decision-makers with the necessary data visibility to control and take actions to meet their logistics’ financial and market goals. The vendor states the product includes the following: • More…
Lyftrondata is an enterprise data governance and data pipeline tool designed to eliminate the time spent by engineers building data pipelines manually, making data instantly available for insights.
ChaosSearch, in Boston, is a log analytics solution aims to provide enterprises with data lakes that turn cloud object storage into analytics engines. ChaosSearch features a stateless architecture that separates storage from compute, and data is stored in Amazon S3. It is accessible…
NavigatorCRE is a patented data visualization platform built for the Commercial Real Estate market.
Datometry Hyper-Q is a SaaS platform that lets applications originally written for a specific database run natively on a cloud data warehouse. Hyper-Q enables enterprise to replatform to public cloud without a highly time-consuming, costly, and risk-laden database migration.
Learn More About Data Virtualization Tools
What are Data Virtualization Tools?
Data virtualization provides access to data while hiding technical aspects like location, structure, or access language. This allows applications to access data without having to know where it resides. This can be used in (for instance) data federation, where data in separate data stores are made to look like a single data store to the consuming application.
Data virtualization tools are confused with Enterprise Application Integration (EAI) as both concern data integration. But EAI supports passing data between enterprise applications. Data virtualization allows querying across multiple databases and data management tools as though they were one data store.
Data virtualization is also distinct from Extract, Transform, and Load (ETL) technologies which normalize and stream data to a data warehouse. Unlike ETL, data virtualization tools provide real-time answers to queries while the data remains in place without replication. Data virtualization tools are faster and less resource intensive than ETL.
Data Virtualization Tools Features & Capabilities
Data virtualization tools generally provide these features:
- Treat multiple data sources as a single source
- Combine, transform data to produce virtual data model
- Graphical or codeless data modeling, data design tools
- Advanced transformation (e.g. for non-relational data)
- Virtualize real-time access to data without moving it
- Advanced query engine
- Centralize metadata control
- User-friendly view of enterprise data
- On-demand data publication
- Business directory and controlled, easy data search
- Virtual data layer provides data firewall, secure access control
Pricing Information
Data virtualization provides a relatively inexpensive means of acting upon combined data from disparate sources. Many tools are available on a trial basis, after which they are available on a monthly or annual subscription. Licensing cost scales with the number of data sources drawn from, as well as the number of queries to be run.
Data Virtualization Tools Best Of Awards
The following Data Virtualization Tools offer award-winning customer relationships, feature sets, and value for price. Learn more about our Best Of Awards methodology here.
