Data Virtualization Reviews and Ratings
What is Data Virtualization?
Data virtualization technology is based on the execution of distributed data management processing, primarily for queries, against multiple heterogeneous data sources, and federation of query results into virtual views. This is followed by the consumption of these virtual views by applications, query/reporting tools, message-oriented middleware or other data management infrastructure components.
Data virtualization can be used to create virtualized and integrated views of data in-memory, rather than executing data movement and physically storing integrated views in a target data structure. It provides a layer of abstraction above the physical implementation of data, to simplify querying logic.
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Denodo Platform is a data virtualization software that enables organizations to access, manage, and integrate data from multiple heterogeneous sources without moving the data from its original location. The software provides a unified data layer for real-time data access, supporting analytical and operational use cases. It features capabilities for metadata management, data governance, data security, and performance optimization. Denodo Platform addresses the challenge of data silos by facilitating a single point of access to distributed data sources, helping organizations gain insights and make informed business decisions without replicating or physically consolidating data.
Oracle Big Data SQL is a software designed to enable querying data across Hadoop, NoSQL, and Oracle Database environments using SQL. It provides a unified data access layer that allows organizations to analyze large volumes of structured and unstructured data while leveraging existing SQL-based tools and applications. The software supports data integration from multiple sources, helping businesses address challenges related to data silos and enabling advanced analytics and reporting. By facilitating high-performance queries and scalable data processing, it supports decision-making processes that depend on combining diverse data sets without the need to move or duplicate data across platforms.
SAP HANA Cloud is a software platform designed to provide in-memory database management and advanced analytics capabilities in the cloud. The software enables real-time data processing and storage, allowing organizations to manage both transactional and analytical workloads on a single system. It supports integration with various data sources, facilitates data virtualization, and offers multi-model data processing for structured and unstructured data. SAP HANA Cloud is used to address business challenges such as data fragmentation, slow analytics, and complex data landscapes by centralizing data access and delivering performance for mission-critical applications. The software includes features for security, scalability, and data governance to help organizations meet compliance and operational requirements.
CData Driver Technologies is a software developed to enable connectivity between applications and data sources. The software offers data drivers that facilitate integration with databases, SaaS, big data, and cloud services. It supports a range of connectivity standards such as ODBC, JDBC, and ADO.NET, allowing users to access and work with data across various platforms without extensive coding or changes to existing workflows. The software aims to simplify the process of data integration for business intelligence, analytics, reporting, and data management tasks by providing reliable and high-performance data access. Through its drivers, the software addresses challenges related to seamless data exchange, interoperability, and connectivity between heterogeneous systems, streamlining the process of connecting applications to diverse data environments.
Data Services is a software developed by Informatica that enables organizations to access, integrate, and deliver data from various sources to support business processes and analytics. The software provides capabilities for data integration, transformation, and delivery, allowing users to design and run complex data workflows across heterogeneous systems. Data Services supports real-time and batch processing, facilitating the movement and synchronization of data between on-premises and cloud environments. The software addresses challenges related to data consistency, accessibility, and quality by offering tools to cleanse, validate, and enrich datasets before making them available for consumption. It is designed to improve the efficiency of data-driven operations within enterprises by streamlining the process of making trusted data available for applications, reporting, and business intelligence.
TIBCO Data Virtualization is a software that enables organizations to access and integrate data from disparate sources without physical movement of data. The software provides a unified view by connecting data across databases, cloud services, files, and big data environments. Its features include real-time data access, data abstraction, and simplified data management. The software facilitates faster decision-making by allowing users to query, transform, and present data through virtual layers, reducing the need for data replication or manual data handling. TIBCO Data Virtualization addresses business challenges related to data silos, complexity in data integration, and accelerated analytics, supporting consistent data delivery for various business applications.
CData Virtuality is a software that enables data integration and virtualization by providing a platform to connect, combine, and query data from various sources in real time. The software allows users to create a unified data layer without moving or replicating data, supporting access through standard interfaces like SQL. It facilitates the process of integrating structured and unstructured data from databases, cloud applications, and other systems, streamlining data delivery for analytics and reporting. CData Virtuality helps organizations address challenges related to data fragmentation by offering features for real time data access, centralized management, and security controls. The software aims to improve data workflows by supporting efficient data connectivity and querying across heterogeneous environments.
IBM BigInsights for Apache Hadoop is a software designed to support large-scale data management and analytics by leveraging the capabilities of the Apache Hadoop ecosystem. The software provides tools for managing, processing, and analyzing vast amounts of structured and unstructured data. It integrates with Hadoop distributions to offer features such as advanced analytics, indexing, text analytics, and data visualization. IBM BigInsights also includes components for security, data governance, and workload optimization. The software addresses business needs related to big data processing, enabling organizations to derive value from complex data sets and improve decision-making efficiency.
SAS Federation Server is software that enables organizations to centrally manage, integrate, and provide controlled access to disparate data sources. It offers data virtualization capabilities, allowing users to access, combine, and query data from multiple database management systems and other sources without physically moving the data. The software facilitates real-time data integration and transformation to support analytics, reporting, and operational needs within enterprise environments. It includes features for data governance, security, and auditing, supporting compliance and data management requirements. SAS Federation Server helps address business challenges related to distributed data, providing a unified view of information for improved decision-making while maintaining control over data access and usage.
Stratio Generative AI Data Fabric is a software designed to unify and automate data management across various business environments. The software integrates generative AI technologies to optimize the discovery, preparation, and governance of enterprise data. It supports connectivity with multiple data sources, enables automated metadata management, and streamlines data quality processes. The software aims to address challenges related to fragmented data landscapes by providing a scalable architecture for real-time data access and processing. It is equipped to enhance compliance with data policies and supports machine learning model development through integrated data pipelines. Stratio Generative AI Data Fabric is positioned to facilitate the consolidation and accessibility of data, supporting improved decision-making and operational efficiency within organizations.
AWS Glue is a cloud-based software designed for data integration and ETL (extract, transform, load) tasks. It enables users to prepare and load data for analytics by providing automated data discovery, schema inference, and job scheduling capabilities. The software supports integration with data stored in various sources, including relational databases, data lakes, and data warehouses. AWS Glue aids in cataloging metadata, transforming raw data, and orchestrating workflows through serverless execution, helping organizations streamline and automate the movement and transformation of large datasets for analytics and reporting.
Fraxses is a software that provides data virtualization and integration capabilities designed to connect, access, and unify data from multiple sources without the need to move or copy the data. The software enables organizations to create virtual data views by combining disparate systems, which supports business intelligence, analytics, and reporting functions. Fraxses offers features such as a drag-and-drop interface, automated data discovery, and metadata management to simplify the process of data integration. It addresses the challenges of data silos and compatibility between various databases, cloud applications, and legacy systems, enabling businesses to streamline data access for decision-making and operational efficiency.
Informatica Data Virtualization Solutions is a software designed to enable organizations to access, integrate, and manage data from various sources without physically moving it. The software provides a unified view of distributed data across databases, data warehouses, cloud environments, and big data systems. It supports real-time data integration and transformation by creating virtual data layers that aggregate information for analytical and operational needs. The software helps address business challenges such as reducing data silos, improving data accessibility, and accelerating time-to-insight for data-driven decision making within enterprise environments. It offers features for security, data governance, and scalability while simplifying the complexities of traditional data integration and replication processes.
Red Hat JBoss Data Virtualization is a software that enables organizations to integrate and access data from disparate sources, including databases, enterprise applications, cloud services, and big data stores, through a unified virtual data layer. The software abstracts underlying data complexities and provides a single point for data retrieval using standard query languages, enabling faster access to information for analytics and reporting. It helps address business challenges related to data fragmentation, reducing the need for physical data movement and replication, thereby supporting data governance and management initiatives. Features include data federation, integration, transformation, and security controls, designed to facilitate agile and scalable data utilization across the enterprise.
eccenca Corporate Memory is a software designed to support enterprises in managing and integrating distributed data, metadata, and knowledge sources. The software provides a unified platform for data integration, semantic knowledge management, and automated governance across various business domains. It enables organizations to create a central repository where structured and unstructured information can be connected and made accessible, facilitating tasks such as compliance management, business process automation, and decision support. By harmonizing disparate data silos, the software addresses the challenge of fragmented information landscapes, helping organizations maintain consistency and transparency in data-driven operations. It includes features for linked data management, ontology modeling, and data cataloging, allowing users to standardize definitions, improve traceability, and enhance interoperability across enterprise systems.
Elluminate Clinical Data Cloud is a software developed by eClinical Solutions that integrates and manages clinical trial data from various sources to support biopharmaceutical and medical device development. The software provides centralized access to clinical, operational, and reference data, enabling data ingestion, aggregation, mapping, curation, and visualization. Elluminate Clinical Data Cloud facilitates data review and analytics workflows to accelerate clinical research by improving data quality and reducing manual processes. The software allows for timely insights and decision-making through secure data management and intuitive analytical tools, offering functionality that addresses the complexity in clinical trial data integration and supports regulatory compliance in research environments.
K2view Data Product Platform gets enterprise data AI ready: protected, complete, and accessible in a split second. It packages data as reusable products for use cases like Test Data Management, Data Masking, Synthetic Data Generation, and Generative AI. The platform connects to any data source and provisions data to any environment, automatically discovering, unifying, transforming, and masking sensitive information while preserving referential integrity across systems. Built for enterprises on patented Micro-Database technology, it organizes data by business entity, for example customer, order, and product, to ensure real time synchronization, in flight cleansing, and secure delivery. AI assisted copilots let users perform complex data operations through natural language chatbots. Using AI and machine learning, K2view creates compliant synthetic data for testing and model training, helping enterprises accelerate agility, improve data quality, and ensure regulatory compliance.
Orbit Platform is a software designed to assist organizations in accessing, analyzing, and visualizing data from various enterprise sources. The software provides data integration capabilities, enabling users to connect to multiple databases and business applications without requiring manual coding. Orbit Platform supports the creation of interactive dashboards and reports, facilitating decision-making by presenting real-time insights and trend analysis. The software includes self-service features, allowing business users to generate queries and modify reports independently. It is built to address the need for streamlined business intelligence, helping organizations to reduce reliance on IT resources and improve operational efficiency by delivering relevant information in a user-friendly format.
Perforce Delphix is a software designed to provide data virtualization and management capabilities for enterprises. The software enables organizations to deliver secure and compliant copies of production data to development, test, and analytics environments. It streamlines the process of data provisioning, automates data delivery, and reduces storage requirements by creating virtual copies of databases. Perforce Delphix also offers features for data masking to help protect sensitive information and capabilities for data refresh and rewind, supporting agile development practices and faster application releases. The software addresses challenges related to slow data provisioning, data security, and compliance in complex IT environments.

















