Data Virtualization Tools

Introduction 

Before knowing about the Data virtualization tools, we must understand what Data virtualization is?

Data virtualization is an approach to combining data from many different sources into a holistic, logical view without physically moving it. In simple terms, data remains in its original sources, but users may virtually access and analyze it using special middleware. Data virtualization aims to create a single representation of data from multiple, disparate sources without copying or moving it.

Data Virtualization Tools

All data virtualization tools are designed to connect disparate data sources through a single interface, but they take different paths to get there. Here is a list of some best data virtualization tools.

Actifio

Product: Actifio Virtual Data Pipeline

Description: Actifio offers a Virtual Data Pipeline (VDP) that automates the self-service provisioning and refreshes business workloads. The product integrates with existing toolchains through a set of APIs and automation and provides data delivery and reuse for data scientists. Users may also restore data at any moment in time across any cloud. Actifio is a unified platform that provides security and compliance capabilities for protecting, securing, retaining, and governing data regardless of location.

Denodo

Product: Denodo Platform

Description: Denodo is a significant player in the data virtualization tools marketplaces, having been there for over 20 years. The latest version includes a data catalog feature that makes data search and discovery easier. The solution may be used on-premises, in the cloud, or a hybrid environment. Its query optimization feature improves query performance and reduces response times. Connectors to nearly every data source, business tool, and application are available on the platform. Denodo offers integrated data governance capabilities for enterprises concerned about data protection and compliance.

Oracle

Product: Oracle Data Service Integrator

Description: Oracle provides a comprehensive set of data integration tools for both classic and new use cases in both on-premises and cloud deployments. Its product portfolio includes technology and services that enable enterprises to move and enrich data across their entire lifespan. Oracle data integration for customer and product domains enables seamless access to data across heterogeneous systems through bulk data transfer, transformation, bidirectional replication, metadata management, data services, and data quality.

TIBCO

Product: TIBCO Data Virtualization

Description: TIBCO Data Virtualization is another useful tool to create a virtual data layer from multiple types of data sources. The built-in transformation engine in TIBCO takes care of joining data from non-relational databases and other unstructured sources. Users may also use a self-service UI and a business data directory to discover, browse through, and consume information pleasantly. With the help of Web Services Description Language, abstracted data can be made available as a data service in TIBCO.

SAS

Product: SAS Federation Server

Description: SAS is the largest independent data management vendor. The company's main product is based on a data quality platform that lets users improve, integrate, and manage enterprise data. SAS Data Management can accept data from legacy systems as well as Hadoop, and it can construct and reuse rules. Users can also update data, alter processes, and perform their own analyses. Collaboration is enabled through a built-in business glossary and third-party metadata management and lineage visualization.

IBM

Product: IBM Cloud Pak for Data

Description: IBM Cloud Pak for Data is a cloud-native platform that allows you to create a virtual data fabric that connects siloed data. In addition to data integration, the tool provides a single drag-and-drop interface for all users to govern and analyze data. IBM also offers an enterprise-wide data catalog for better data discovery and organization. Many users claim that the product has aided them in shortening their time to market and increasing their overall business agility.

CData Software

Product: CData Driver Technologies

Description: CData Software provides real-time access to online or on-premises applications, databases, and Web APIs through data integration solutions. The vendor provides data access through established data standards and application platforms such as ODBC, ADO.NET, JDBC, SSIS, BizTalk, and Microsoft Excel. Driver technologies, enterprise connections, data visualization, ETL and ELT solutions, OEM and custom drivers, and cloud and API connectivity are the six categories of CData Software products.

Informatica

Product: Informatica PowerCenter

Description: Informatica, as one of the top data integration platforms, includes several powerful data virtualization features. The metadata manager, which comes with a handy visual editor, is the platform's main component. It allows users to observe the integration processes through a map of data flows across the environment. Another useful feature is estimating the impact of a data integration effort on an organization before making any changes. Informatica also gives organizations opportunities to archive data from older apps that are no longer in use.

Red Hat

Product: Red Hat JBoss Data Virtualization

Description: Red Hat JBoss Data Virtualization is a data supply and integration solution that sits in front of several data sources and treats them as a single source, delivering the necessary data in the required format when an application or user requests it. It works on both Windows and Linux systems, which makes it easier to use. On both systems, it provides top virtualization performance and scalability benchmarks.

AtScale

Product: Intelligent Data Virtualization

Description: AtScale's data virtualization platform enables users to connect BI tools to live data sources without moving data. The software supports time-based calculations, hierarchies, semi-additive metrics, multi-level measurements, and many-to-many interactions. Customers can connect to data platforms using existing BI tool drivers, and AtScale connects Excel to live data on-premises and in the cloud natively. Automatic data lineage and query response time optimization are both included in AtScale.