# Best Data Virtualization Software

## How Many Data Virtualization Software Products Does G2 Track?

**Total Products under this Category:** 40

### Category Stats (Aug 2026)

- **Average Rating:** 4.37/5 The average rating of products in this category, based on all submitted ratings

_Last updated: August 12, 2026_

## How Does G2 Rank Data Virtualization Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 2,100+ Authentic Reviews
- 40+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Data Virtualization Software
 ![G2 Grid® for Data Virtualization Software plotting products by satisfaction and market presence](https://www.g2.com/categories/data-virtualization/grids.png?focus%5B%5D=1251&focus%5B%5D=8076&focus%5B%5D=10734&focus%5B%5D=1559674&focus%5B%5D=71336&focus%5B%5D=106717&focus%5B%5D=3516&focus%5B%5D=40849)

Highlighted products: SAP HANA Cloud, FME Platform, Denodo, Strategy Mosaic, Oracle Virtualization, Accelario, Informatica PowerCenter, and AWS Glue.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-virtualization/grids.json?focus%5B%5D=sap-hana-cloud-2025-10-01&focus%5B%5D=fme-platform&focus%5B%5D=denodo&focus%5B%5D=strategy-mosaic&focus%5B%5D=oracle-virtualization&focus%5B%5D=accelario-accelario&focus%5B%5D=informatica-powercenter&focus%5B%5D=aws-glue)

**Sponsored**

### Common Room

Common Room is an AI GTM platform that helps revenue teams — including Sales, Marketing, and RevOps — at mid-market and enterprise B2B companies move from fragmented buyer data to precise, AI-driven execution at scale. Most GTM teams operate on incomplete information, with reps toggling between tools and ops teams manually stitching systems together. Common Room solves this by unifying first-party customer data with real-world buyer signals into a continuously updated system of complete and trusted buyer intelligence, powered by Context360 (AI identity resolution) and AI waterfall enrichment across a 400M+ contact directory. Revenue teams use that intelligence foundation to put AI agents to work across core GTM workflows — prioritizing the right accounts, researching contacts, mapping stakeholders, and personalizing outreach based on real buyer context. A configurable Revenue Control Plane gives revenue architects enterprise-grade governance, permissioning, and managed integrations to design and scale AI-native GTM workflows across the business. Key capabilities include: -Complete buyer intelligence: Unifies CRM, product, marketing, and engagement signals with real-world buyer activity into a person-level, always up-to-date view of every buyer - AI agents across GTM workflows: Automates account prioritization, contact research, stakeholder mapping, data hygiene, and personalized outreach without adding headcount -Revenue Control Plane: Central governance layer for revenue architects to build, deploy, and scale plays with enterprise-grade controls and fully managed integrations -Embedded workflow activation: Delivers buyer intelligence and AI-guided actions directly inside Slack, email, Salesforce, browser extensions, and AI assistants — no behavior change required -Enterprise-ready at scale: Supports teams of 50 to 1,000+ reps across multiple GTM motions, eliminating the need for GTM engineers, enrichment vendors, or external orchestration tools

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=1491&secure%5Bchosen_at%5D=2026-08-15T13%3A59%3A01Z&secure%5Bdisplayable_resource_id%5D=497&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=167460&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=167460&secure%5Bresource_id%5D=1491&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-virtualization&secure%5Btoken%5D=74ccba7811fb7d996345d8557f7d0feef9edd47e85fe1ace8d2b1fbe3ed88f3f&secure%5Burl%5D=https%3A%2F%2Fwww.commonroom.io%2Fdemo%2F%3Futm_source%3Dg2%26utm_medium%3Dpaid-review-site%26utm_campaign%3Dg2-clicks&secure%5Burl_type%5D=custom_url)

### [SAP HANA Cloud](https://www.g2.com/es/products/sap-hana-cloud-2025-10-01/reviews)

SAP HANA Cloud es una base de datos moderna como servicio (DBaaS) que impulsa la próxima generación de aplicaciones de datos inteligentes. SAP HANA Cloud ofrece una ventaja competitiva al incorporar herramientas avanzadas de aprendizaje automático y predictivo basadas en la ciencia de datos moderna. Su potente rendimiento en memoria salvaguarda el procesamiento eficiente de datos. Al almacenar de manera segura grandes cantidades de datos con su almacenamiento multinivel integrado y manejar varios tipos en una sola copia en su base de datos nativa multimodelo, SAP HANA Cloud simplifica la gestión de datos y se conecta a otras fuentes de datos. La integración perfecta de estas capacidades en una base confiable y unificada facilita a los desarrolladores la construcción de aplicaciones de datos inteligentes de alta demanda.

**Average Rating:** 4.3/5.0

**Total Reviews:** 522

#### How Do G2 Users Rate SAP HANA Cloud?

- **Seguridad de los datos:** 8.6/10 (Category avg: 8.9/10)
- **Orquestación:** 8.4/10 (Category avg: 8.7/10)
- **Rendimiento de las aplicaciones:** 8.8/10 (Category avg: 8.7/10)
- **Facilidad de uso:** 8.2/10 (Category avg: 8.7/10)

#### Who Is the Company Behind SAP HANA Cloud?

- **Vendedor:** [SAP](https://www.g2.com/es/sellers/sap)
- **Año de fundación:** 1972
- **Ubicación de la sede:** Walldorf
- **Twitter:** @SAP  
297,052 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 empleados en LinkedIn®
- **Propiedad:** NYSE:SAP

#### Who Uses This Product?

- **Who Uses This:** Consultor, Consultor de SAP
- **Top Industries:** Tecnología de la información y servicios, Software de Computadora
- **Company Size:** 61% Large, 26% Medium

#### What Do G2 Reviewers Say About SAP HANA Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Los usuarios aprecian la **facilidad de uso** con SAP HANA Cloud, disfrutando de una integración perfecta y análisis en tiempo real sin problemas.
- Los usuarios aprecian las **fáciles integraciones** de SAP HANA Cloud, mejorando su flujo de trabajo y gestión de datos sin problemas.
- Los usuarios valoran las **capacidades de integración fluida** de SAP HANA Cloud, mejorando la eficiencia y simplificando la gestión de datos.
- Los usuarios valoran la **velocidad y capacidad de respuesta** de SAP HANA Cloud, haciendo que el manejo de datos sea eficiente y fluido.
- Los usuarios valoran la **escalabilidad flexible y elástica** de SAP HANA Cloud, mejorando el rendimiento para aplicaciones intensivas en datos.

##### Cons

- Los usuarios encuentran **la complejidad de la configuración** desafiante, especialmente para los nuevos usuarios y las integraciones con otros sistemas.
- Los usuarios encuentran que SAP HANA Cloud es **caro** , especialmente para grandes demandas de datos y configuraciones avanzadas que requieren experiencia.
- Los usuarios encuentran **la curva de aprendizaje desafiante** , especialmente para los equipos nuevos en los conceptos de HANA y las extensiones de SQL.
- Los usuarios encuentran la **curva de aprendizaje difícil** de SAP HANA Cloud desafiante, especialmente para los nuevos usuarios y la navegación de funciones.
- Los usuarios encuentran el **configuración compleja** de SAP HANA Cloud desafiante, especialmente para los recién llegados y durante la provisión inicial.

#### What Are Recent G2 Reviews of SAP HANA Cloud?

**["Transacciones eficientes, pero configuración que consume mucho tiempo"](https://www.g2.com/es/survey_responses/sap-hana-cloud-review-12983922)**

**Rating:** 4.0/5.0 stars

_— Sumeet R._

[Read full review](https://www.g2.com/es/survey_responses/sap-hana-cloud-review-12983922)

**["Integración de datos sin esfuerzo y escalabilidad"](https://www.g2.com/es/survey_responses/sap-hana-cloud-review-13233144)**

**Rating:** 4.5/5.0 stars

_— Usuario verificado_

[Read full review](https://www.g2.com/es/survey_responses/sap-hana-cloud-review-13233144)

### [FME Platform](https://www.g2.com/it/products/fme-platform/reviews)

FME, realizzato da Safe Software, è l'unica piattaforma di integrazione aziendale All-Data, Any-AI che connette tutti i tuoi dati, applicazioni e servizi AI. Tutte le Velocità dei Dati - Che si tratti di elaborazione batch, eventi o flussi, FME ti offre orchestrazione e automazione aziendale senza codice. Tutte le Posizioni dei Dati - Ovunque si trovino i tuoi dati - nel cloud, on-premises o entrambi - FME si adatta al tuo panorama dati con elaborazione, aumentando scalabilità, agilità e sicurezza. Tutti i Tipi di Dati - Dai database ai sistemi aziendali all'IoT, tu lo nomini, noi lo connettiamo. Come unica piattaforma di integrazione con supporto per i dati spaziali, FME offre nuove intuizioni per permetterti di prendere decisioni migliori e rimanere avanti alla concorrenza. Qualsiasi Tecnologia AI - Alimenta i tuoi flussi di lavoro con i dati giusti al momento giusto indipendentemente dalla modalità, posizione o velocità dei dati. FME alimenta l'automazione in tempo reale e consapevole del contesto, scalando l'AI dove e come ne hai bisogno.

**Average Rating:** 4.6/5.0

**Total Reviews:** 134

#### How Do G2 Users Rate FME Platform?

- **Sicurezza dei dati:** 9.2/10 (Category avg: 8.9/10)
- **Prestazioni dell'applicazione:** 8.7/10 (Category avg: 8.7/10)
- **Facilità d'uso:** 8.9/10 (Category avg: 8.7/10)

#### Who Is the Company Behind FME Platform?

- **Venditore:** [Safe Software](https://www.g2.com/it/sellers/safe-software)
- **Sito web dell'azienda:** fme.safe.com
- **Anno di Fondazione:** 1993
- **Sede centrale:** British Columbia, Canada
- **Twitter:** @SafeSoftware  
4,972 follower su Twitter
- **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8f51fda03ec1714e4e9b70cd5c252a3781277b1ecefb3ddfb641e6af2f11170f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F50027%2F&secure%5Burl_type%5D=linkedin_company_website)  
346 dipendenti su LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, GIS Analyst
- **Top Industries:** Tecnologia dell'informazione e servizi, Software per computer
- **Company Size:** 46% Medium, 25% Small

#### What Do G2 Reviewers Say About FME Platform?

_AI-generated summary from verified user reviews_

##### Pros

- Gli utenti apprezzano l' **interfaccia intuitiva** della piattaforma FME, rendendo i flussi di lavoro dei dati semplici ed efficienti da gestire.
- Gli utenti apprezzano la **gestione e integrazione dei dati senza soluzione di continuità** della piattaforma FME, migliorando l'automazione del flusso di lavoro e l'efficienza.
- Gli utenti apprezzano le **capacità di automazione** della piattaforma FME, aumentando significativamente la produttività e semplificando i flussi di lavoro dei dati.
- Gli utenti lodano la piattaforma FME per la sua **eccezionale interoperabilità** , trasformando efficacemente diversi formati di dati nei flussi di lavoro automatizzati.
- Gli utenti apprezzano le **capacità di trasformazione dei dati flessibili** della piattaforma FME, migliorando il loro flusso di lavoro con un'automazione e un'interoperabilità impressionanti.

##### Cons

- Gli utenti lottano con la **complessità** della piattaforma FME, in particolare nell'automazione e nella navigazione dell'interfaccia utente durante situazioni di alta pressione.
- Gli utenti esprimono preoccupazione per il **modello di prezzo costoso** della piattaforma FME, rendendo difficile per i team più piccoli investire.
- Gli utenti lottano con una **ripida curva di apprendimento** , trovando l'interfaccia utente intimidatoria e l'integrazione di altri una sfida significativa.
- Gli utenti trovano la **ripida curva di apprendimento** della piattaforma FME impegnativa, rendendo la navigazione e la comprensione del software difficili.
- Gli utenti esprimono preoccupazioni riguardo ai **problemi di prezzo** con FME Platform, ritenendo che sia troppo costoso per i team più piccoli e per gli individui.

#### What Are Recent G2 Reviews of FME Platform?

**["Flussi di lavoro dati senza codice con potente supporto multi-formato"](https://www.g2.com/it/survey_responses/fme-platform-review-13235376)**

**Rating:** 5.0/5.0 stars

_— Rahul G._

[Read full review](https://www.g2.com/it/survey_responses/fme-platform-review-13235376)

**["Potente ETL senza codice con flussi di lavoro visivi e trasformatori estesi"](https://www.g2.com/it/survey_responses/fme-platform-review-13224329)**

**Rating:** 4.5/5.0 stars

_— Sujal S._

[Read full review](https://www.g2.com/it/survey_responses/fme-platform-review-13224329)

#### What Are G2 Users Discussing About FME Platform?

- [What does FME stand for in FME Server?](https://www.g2.com/it/discussions/what-does-fme-stand-for-in-fme-server)
- [Is FME an ETL?](https://www.g2.com/it/discussions/is-fme-an-etl)
- [What is FME process?](https://www.g2.com/it/discussions/what-is-fme-process)
- [What is FME software used for?](https://www.g2.com/it/discussions/what-is-fme-software-used-for)

### [Denodo](https://www.g2.com/products/denodo/reviews)

Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data to trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service. Denodo's customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone. The Denodo Platform includes the following capabilities: - A semantic layer, with semantic search and embedded data prep in a self-service data catalog. - Unified, real-time-updated data views without expensive replication or copying of data. - Native connectors to over 200 source systems, both cloud and on-premises - An AI SDK which implements metadata-driven RAG (retrieval augmented generation) to provide trusted data to AI agents. - Query acceleration, improving lakehouse performance by 10x while also reducing compute and storage costs. - Federated enterprise-wide governance and privacy compliance. - Greater automation of common data engineering tasks, with the AI-powered Denodo Assistant. Enterprises world-wide across every major industry have used Denodo to achieve greater business self-service and agility, improve operational visibility and efficiency, optimize the performance and cost of modern data infrastructure such as Lakehouses, and ensure success of their AI initiatives. Denodo now offers two options to meet these needs: the Denodo Platform, deployable in all Clouds (AWS, Azure, GCP and Alibaba) and on-premises for full control, and Agora, our fully managed cloud service available on AWS, offering an entirely managed experience with the same rich data capabilities. Denodo provides a unique approach to data integration and management not found in any other platform. Denodo customers reported: 83% increase in business user productivity 67% reduction in time required to prepare data for AI 65% decrease in data delivery time vs. ETL 10x improvement in Lakehouse query performance compared to running queries directly resulting in an average three-year benefit of $6.8M, ROI of 408%, and payback within six months across customers.

**Average Rating:** 4.3/5.0

**Total Reviews:** 39

#### How Do G2 Users Rate Denodo?

- **Data Security:** 8.1/10 (Category avg: 8.9/10)
- **Orchestration:** 8.3/10 (Category avg: 8.7/10)
- **Application Performance:** 8.0/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.7/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Denodo?

- **Seller:** [Denodo](https://www.g2.com/sellers/denodo)
- **Year Founded:** 1999
- **HQ Location:** Palo Alto, CA
- **Twitter:** @denodo  
5,555 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=653ee442e68039deb3c7c8ba7184e7a1c1cbe454ac46aae914017bd567aa8685&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F32150%2F&secure%5Burl_type%5D=linkedin_company_website)  
792 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Financial Services, Information Technology and Services
- **Company Size:** 47% Large, 30% Medium

#### What Do G2 Reviewers Say About Denodo?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **extensive functionality** of Denodo, enhancing data integration and management efficiency across various systems.
- Users appreciate the **extensive built-in connectors** of Denodo for seamless integration and unified data access.
- Users value the **seamless integration** of Denodo, which simplifies data access and enhances overall data management.
- Users appreciate the **seamless data integration** in Denodo, enhancing workflows and providing unified access to data sources.
- Users appreciate the **ease of setup** with Denodo, citing seamless integration and efficient data management as key benefits.

##### Cons

- Users find Denodo to be **expensive** , which may limit its accessibility for smaller companies.
- Users often find the **Web Designer buggy** , which can lead to frustrations compared to the Admin tool.
- Users report that the **Web Designer can be buggy** , leading to frustrations compared to the Admin tool's stability.
- Users find Denodo has a **steep learning curve** , making it difficult for smaller companies to adapt.
- Users find the **steep learning curve** of Denodo challenging, especially for smaller companies trying to adapt.

#### What Are Recent G2 Reviews of Denodo?

**["Denodo’s Real-Time Data Virtualization Makes Integration Fast and Flexible"](https://www.g2.com/survey_responses/denodo-review-12255977)**

**Rating:** 4.5/5.0 stars

_— Mahmoud H._

[Read full review](https://www.g2.com/survey_responses/denodo-review-12255977)

**["Effortless Data Virtualization with Top-Notch Security"](https://www.g2.com/survey_responses/denodo-review-12582329)**

**Rating:** 4.5/5.0 stars

_— Aman M._

[Read full review](https://www.g2.com/survey_responses/denodo-review-12582329)

#### What Are G2 Users Discussing About Denodo?

- [What is Denodo used for?](https://www.g2.com/discussions/denodo-what-is-denodo-used-for)
- [Is denodo a database?](https://www.g2.com/discussions/is-denodo-a-database)
- [What is denodo data virtualization?](https://www.g2.com/discussions/what-is-denodo-data-virtualization)
- [What is denodo tool?](https://www.g2.com/discussions/what-is-denodo-tool)
- [What is denodo used for?](https://www.g2.com/discussions/what-is-denodo-used-for)

### [Strategy Mosaic](https://www.g2.com/products/strategy-mosaic/reviews)

Strategy Mosaic, from Strategy (formerly MicroStrategy), is an enterprise-grade universal semantic layer solution designed to enhance the capabilities of AI and Business Intelligence (BI) within organizations. It addresses critical challenges such as data fragmentation and inconsistent metrics, which lead to untrusted AI answers, compliance risks, and runaway cloud costs. The universal semantic layer that Mosaic provides serves as a centralized repository for business definitions, hierarchies, and security rules, ensuring that all users access consistent metrics and KPIs regardless of the tools they employ. This single source of truth is actively monitored by our integrated Sentinel layer, which moves you from reactive audits to proactive, real-time governance. Sentinel provides immediate intelligence on potential data breaches, compliance risks, and cost-saving opportunities, helping you optimize cloud spend and prevent violations before they happen. Additionally, Mosaic empowers organizations to build an auditable foundation for AI. By providing a layer of rich business context and consistent, human-readable definitions, Mosaic gives AI models the deep understanding required to provide more accurate and verifiable answers. This accelerates time to insight, allows you to end vendor lock-in, and dramatically reduces the total cost of ownership (TCO) by eliminating costly data rework and optimizing data management processes. In summary, Strategy Mosaic stands out by addressing the fundamental issues of data fragmentation and governance. Its robust connectivity, centralized semantic layer, and focus on delivering trusted data make it an invaluable tool for organizations aiming to enhance their analytics capabilities and leverage AI effectively.

**Average Rating:** 4.5/5.0

**Total Reviews:** 15

#### How Do G2 Users Rate Strategy Mosaic?

- **Data Security:** 9.4/10 (Category avg: 8.9/10)
- **Orchestration:** 10.0/10 (Category avg: 8.7/10)
- **Application Performance:** 9.2/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.6/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Strategy Mosaic?

- **Seller:** [Strategy (formerly MicroStrategy)](https://www.g2.com/sellers/strategy-formerly-microstrategy)
- **Company Website:** www.strategy.com
- **Year Founded:** 1989
- **HQ Location:** Tysons Corner, VA
- **Twitter:** @MicroStrategy  
303,456 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8f32382ee6ea0cc02d6dc7c1fe37038f1247aceba92d8d5030350f4ffb1e6c92&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fstrategy%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,457 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 53% Large, 40% Medium

#### What Do G2 Reviewers Say About Strategy Mosaic?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** in Strategy Mosaic, simplifying collaboration and enhancing clarity in planning and execution.
- Users value the **structured planning and AI-assisted metrics creation** of Strategy Mosaic, enhancing collaboration and clarity.
- Users value the **reliable and user-friendly reporting** features of Strategy Mosaic, appreciating its robust semantic layer.
- Users value the **robust data analysis** capabilities of Strategy Mosaic, ensuring reliable insights from vast data volumes.
- Users enjoy the **auto-magical experience** of quickly creating their initial data model with Strategy Mosaic.

##### Cons

- Users experience **minor bugs** with Strategy Mosaic, particularly affecting cube publishing and code corrections.
- Users report encountering **bug issues** that persist even after attempting to correct errors in Strategy Mosaic.
- Users experience **debugging issues** with Strategy Mosaic, as corrections do not reflect in the code as expected.
- Users note the **high licensing costs** of Strategy Mosaic and suggest exploring more affordable options for better value.
- Users find the **initial learning curve** of Strategy Mosaic challenging, making the platform feel overwhelming for newcomers.

#### What Are Recent G2 Reviews of Strategy Mosaic?

**["Strategy Mosaic Makes Strategic Planning Clear, Visual, and Team-Aligned"](https://www.g2.com/survey_responses/strategy-mosaic-review-12611240)**

**Rating:** 4.0/5.0 stars

_— Akash A._

[Read full review](https://www.g2.com/survey_responses/strategy-mosaic-review-12611240)

**["Effortless Planning and Team Alignment Made Simple"](https://www.g2.com/survey_responses/strategy-mosaic-review-12008071)**

**Rating:** 4.5/5.0 stars

_— Aditya K._

[Read full review](https://www.g2.com/survey_responses/strategy-mosaic-review-12008071)

### [Oracle Virtualization](https://www.g2.com/products/oracle-virtualization/reviews)

Oracle VM reduces operations and support costs while increasing IT efficiency and agility on premises and in the cloud.

**Average Rating:** 4.3/5.0

**Total Reviews:** 30

#### How Do G2 Users Rate Oracle Virtualization?

- **Data Security:** 8.5/10 (Category avg: 8.9/10)
- **Orchestration:** 7.9/10 (Category avg: 8.7/10)
- **Application Performance:** 8.2/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.1/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Oracle Virtualization?

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle  
827,997 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a14fcbcd818b49d781453c19628a9479a70cc1e8e335e54c876392ab5f543da3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1028%2F&secure%5Burl_type%5D=linkedin_company_website)  
208,078 employees on LinkedIn®
- **Ownership:** NYSE:ORCL

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 58% Large, 23% Small

#### What Are Recent G2 Reviews of Oracle Virtualization?

**["Oracle virtualization (VM)"](https://www.g2.com/survey_responses/oracle-virtualization-review-2325176)**

**Rating:** 5.0/5.0 stars

_— Verified User in Internet_

[Read full review](https://www.g2.com/survey_responses/oracle-virtualization-review-2325176)

**["Oracle Virtualization to test Jupyter python"](https://www.g2.com/survey_responses/oracle-virtualization-review-5259281)**

**Rating:** 5.0/5.0 stars

_— Fernando R._

[Read full review](https://www.g2.com/survey_responses/oracle-virtualization-review-5259281)

#### What Are G2 Users Discussing About Oracle Virtualization?

- [What is Oracle VM used for?](https://www.g2.com/discussions/oracle-virtualization-what-is-oracle-vm-used-for)
- [What are the features of Hyper V?](https://www.g2.com/discussions/what-are-the-features-of-hyper-v)
- [What are the features of virtualization?](https://www.g2.com/discussions/what-are-the-features-of-virtualization)
- [What is virtualization What are the features of Oracle VirtualBox?](https://www.g2.com/discussions/what-is-virtualization-what-are-the-features-of-oracle-virtualbox)

### [Accelario](https://www.g2.com/es/products/accelario-accelario/reviews)

Accelario mejora la eficiencia y la excelencia en el desarrollo de software con tecnologías avanzadas de Anonimización y Virtualización de Bases de Datos impulsadas por IA. Al ofrecer datos de prueba reales, conformes y bajo demanda, nuestra plataforma permite a los equipos de desarrollo optimizar flujos de trabajo, reducir costos y aumentar la productividad. Apoyando ciclos de desarrollo más rápidos, lanzamientos de calidad superior y una fuerte privacidad de datos, Accelario capacita a las organizaciones para enfrentar los desafíos de la innovación moderna en software. Confiado por empresas globales, ofrecemos soluciones escalables que aseguran un aprovisionamiento de datos sin problemas, cumplimiento continuo y seguridad de datos inigualable. Ya sea acelerando las canalizaciones de DevOps o mejorando la calidad de las aplicaciones, Accelario proporciona las herramientas para innovar audazmente y transformar su proceso de desarrollo de software.

**Average Rating:** 4.8/5.0

**Total Reviews:** 30

#### How Do G2 Users Rate Accelario?

- **Seguridad de los datos:** 8.4/10 (Category avg: 8.9/10)
- **Orquestación:** 8.5/10 (Category avg: 8.7/10)
- **Rendimiento de las aplicaciones:** 8.6/10 (Category avg: 8.7/10)
- **Facilidad de uso:** 9.1/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Accelario?

- **Vendedor:** [Accelario](https://www.g2.com/es/sellers/accelario)
- **Año de fundación:** 2017
- **Ubicación de la sede:** New York NY
- **Twitter:** @Accelario2  
33 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d8ea59056921c53cdfd14bce8c0cc080fd3f2c60ede9471975c91ff7f42ea923&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Faccelario%2F&secure%5Burl_type%5D=linkedin_company_website)  
17 empleados en LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Software de Computadora, Tecnología de la información y servicios
- **Company Size:** 43% Medium, 40% Small

#### What Do G2 Reviewers Say About Accelario?

_AI-generated summary from verified user reviews_

##### Pros

- Los usuarios destacan la **automatización eficiente** en Accelario, mejorando significativamente la velocidad y la productividad en la gestión de datos de prueba.
- Los usuarios se benefician de **ahorros de tiempo significativos** al usar Accelario, lo que permite una mayor productividad y procesos optimizados.
- Los usuarios aprecian la **facilidad de uso** de Accelario, destacando su interfaz amigable y la integración sin problemas con los sistemas existentes.
- Los usuarios aprecian la **eficiencia** de Accelario, que acelera significativamente la gestión de datos de prueba y aumenta la productividad.
- Los usuarios elogian a Accelario por su **gestión de datos eficiente** , permitiendo una rápida provisión e integración sin problemas con los pipelines de CI/CD.

##### Cons

- Los usuarios encuentran la **curva de aprendizaje desafiante** inicialmente, pero las potentes características y la documentación ayudan a facilitar el proceso.
- Los usuarios encuentran los **problemas de integración** complejos y que consumen mucho tiempo, creando desafíos, especialmente para los nuevos usuarios.
- Los usuarios encuentran la **configuración e integración de la base de datos demasiado complejas** , lo que lleva a una inversión de tiempo significativa durante la implementación.
- Los usuarios encuentran la plataforma **cara** , lo que puede limitar el acceso para organizaciones más pequeñas a pesar de su efectividad.
- Los usuarios sienten que hay una necesidad de **mejora en tipos específicos de bases de datos** , pero aprecian la flexibilidad de personalización que ofrece Accelario.

#### What Are Recent G2 Reviews of Accelario?

**["Gestión Eficiente de Datos de Prueba con Accelario"](https://www.g2.com/es/survey_responses/accelario-review-12457514)**

**Rating:** 5.0/5.0 stars

_— Mohammed A._

[Read full review](https://www.g2.com/es/survey_responses/accelario-review-12457514)

**["Accelario: Virtualización y Ahorro en los Costos de Almacenamiento"](https://www.g2.com/es/survey_responses/accelario-review-12590655)**

**Rating:** 4.0/5.0 stars

_— Gabriele C._

[Read full review](https://www.g2.com/es/survey_responses/accelario-review-12590655)

### [AWS Glue](https://www.g2.com/es/products/aws-glue/reviews)

AWS Glue es un servicio de integración de datos sin servidor que facilita a los usuarios de análisis descubrir, preparar, mover e integrar datos de múltiples fuentes para análisis, aprendizaje automático y desarrollo de aplicaciones. Puedes descubrir y conectarte a más de 70 fuentes de datos diversas, gestionar tus datos en un catálogo de datos centralizado y crear, ejecutar y monitorear visualmente pipelines ETL para cargar datos en tus lagos de datos. Puedes buscar y consultar inmediatamente datos catalogados utilizando Amazon Athena, Amazon EMR y Amazon Redshift Spectrum.

**Average Rating:** 4.3/5.0

**Total Reviews:** 194

#### How Do G2 Users Rate AWS Glue?

- **Seguridad de los datos:** 9.1/10 (Category avg: 8.9/10)
- **Orquestación:** 8.9/10 (Category avg: 8.7/10)
- **Rendimiento de las aplicaciones:** 9.1/10 (Category avg: 8.7/10)
- **Facilidad de uso:** 8.4/10 (Category avg: 8.7/10)

#### Who Is the Company Behind AWS Glue?

- **Vendedor:** [Amazon Web Services (AWS)](https://www.g2.com/es/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Año de fundación:** 2006
- **Ubicación de la sede:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 empleados en LinkedIn®
- **Propiedad:** NASDAQ: AMZN

#### Who Uses This Product?

- **Who Uses This:** Ingeniero de Datos, Ingeniero de software
- **Top Industries:** Tecnología de la información y servicios, Software de Computadora
- **Company Size:** 49% Large, 29% Medium

#### What Do G2 Reviewers Say About AWS Glue?

_AI-generated summary from verified user reviews_

##### Pros

- Los usuarios aprecian la **facilidad de uso** de AWS Glue, encontrándolo simple y efectivo para operaciones ETL.
- Los usuarios aprecian las **capacidades de integración sin problemas** de AWS Glue, mejorando la eficiencia del movimiento de datos y el análisis.
- Los usuarios aprecian el **servicio ETL completamente gestionado** de AWS Glue, disfrutando de una integración perfecta y facilidad de uso.
- A los usuarios les encanta AWS Glue por su **preparación de datos simplificada y sus ricas características** , mejorando los procesos de análisis y aprendizaje automático.
- Los usuarios aprecian la **facilidad de implementación** en AWS Glue, mejorando su experiencia en la construcción de marcos de integración de datos.

##### Cons

- Los usuarios experimentan **rendimiento lento** con AWS Glue, señalando largos tiempos de inicio y desafíos complejos de depuración.
- Los usuarios encuentran **difícil la depuración** debido a mensajes de error poco claros y una curva de aprendizaje pronunciada con AWS Glue.
- Los usuarios enfrentan **problemas difíciles de depuración** con AWS Glue debido a mensajes de error poco claros y procesos complejos durante la ejecución de trabajos.
- Los usuarios experimentan **problemas de rendimiento** con AWS Glue, señalando tiempos de inicio lentos y procesos de depuración desafiantes.
- Los usuarios enfrentan **procesos de inicio y depuración que consumen mucho tiempo** con AWS Glue, lo que afecta la eficiencia y la experiencia del usuario.

#### What Are Recent G2 Reviews of AWS Glue?

**["AWS Glue hace que ETL sea simple con escalabilidad sin servidor e integración profunda con AWS."](https://www.g2.com/es/survey_responses/aws-glue-review-12380790)**

**Rating:** 4.5/5.0 stars

_— Pradip G._

[Read full review](https://www.g2.com/es/survey_responses/aws-glue-review-12380790)

**["ETL sin servidor hecho fácil con AWS Glue"](https://www.g2.com/es/survey_responses/aws-glue-review-12864874)**

**Rating:** 5.0/5.0 stars

_— mani s._

[Read full review](https://www.g2.com/es/survey_responses/aws-glue-review-12864874)

#### What Are G2 Users Discussing About AWS Glue?

- [¿Qué es AWS Glue y cómo funciona?](https://www.g2.com/es/discussions/what-is-aws-glue-and-how-it-works) - 1 comment
- [¿Qué hace AWS Glue?](https://www.g2.com/es/discussions/what-does-aws-glue-do) - 2 comments
- [¿Cuáles son los componentes principales de AWS Glue?](https://www.g2.com/es/discussions/what-are-the-main-components-of-aws-glue) - 2 comments
- [¿Cuáles son las características del pegamento?](https://www.g2.com/es/discussions/what-are-the-features-of-glue) - 1 comment

### [Informatica PowerCenter](https://www.g2.com/products/informatica-powercenter/reviews)

Informatica PowerCenter® helps you unleash the value of your data. It offers a unique end-to-end data integration platform, with a broad set of capabilities to integrate raw, fragmented data from disparate sources, transforming it into complete, high-quality, business-ready information. As your environment grows and matures, PowerCenter scales to meet your expanding business needs, data volumes, and complexity, while providing insights to IT and the business

**Average Rating:** 4.3/5.0

**Total Reviews:** 82

#### How Do G2 Users Rate Informatica PowerCenter?

- **Data Security:** 9.2/10 (Category avg: 8.9/10)
- **Orchestration:** 8.5/10 (Category avg: 8.7/10)
- **Application Performance:** 8.8/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.1/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Informatica PowerCenter?

- **Seller:** [Informatica](https://www.g2.com/sellers/informatica)
- **Year Founded:** 1993
- **HQ Location:** Redwood City, CA
- **Twitter:** @Informatica  
99,643 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=06f93f9659c25422bea5c34037117512928a659c5d640bb989ed85a85cdb1252&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3858%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,802 employees on LinkedIn®
- **Ownership:** NYSE: INFA

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Insurance
- **Company Size:** 79% Large, 16% Medium

#### What Do G2 Reviewers Say About Informatica PowerCenter?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **automation** capabilities of Informatica PowerCenter, simplifying ETL processes and minimizing manual coding requirements.
- Users appreciate the **ability to integrate data from multiple sources** with Informatica PowerCenter, enhancing their data management efficiency.
- Users value the **easy-to-use interface** of Informatica PowerCenter, simplifying ETL processes without extensive coding requirements.
- Users appreciate the **user-friendly interface** of Informatica PowerCenter, making ETL processes simple and efficient.
- Users appreciate the **drag and drop feature** of Informatica PowerCenter, making ETL processes intuitive and user-friendly.

##### Cons

- Users find Informatica PowerCenter to be **expensive** , burdened by high licensing and maintenance costs alongside complex infrastructure needs.
- Users experience **integration issues** with Spark and Python, complicating setups and limiting functionality in cloud environments.
- Users face challenges due to **cloud dependency** , hindering integration and scalability in modern environments.
- Users find the **complexity of accessing workflow parameters** cumbersome, impacting their overall experience with PowerCenter.
- Users find **complex management** burdensome due to high costs, resource demands, and lack of cloud integration support.

#### What Are Recent G2 Reviews of Informatica PowerCenter?

**["Robust Data Integration with Steep Setup"](https://www.g2.com/survey_responses/informatica-powercenter-review-12824137)**

**Rating:** 4.0/5.0 stars

_— Nihal R._

[Read full review](https://www.g2.com/survey_responses/informatica-powercenter-review-12824137)

**["Streamlined Data Integration with Intuitive Drag-and-Drop"](https://www.g2.com/survey_responses/informatica-powercenter-review-12178255)**

**Rating:** 4.5/5.0 stars

_— Vallabh P._

[Read full review](https://www.g2.com/survey_responses/informatica-powercenter-review-12178255)

#### What Are G2 Users Discussing About Informatica PowerCenter?

- [What is Informatica PowerCenter used for?](https://www.g2.com/discussions/informatica-powercenter-what-is-informatica-powercenter-used-for) - 1 comment
- [What are objects in Informatica?](https://www.g2.com/discussions/what-are-objects-in-informatica)
- [What is Informatica platform?](https://www.g2.com/discussions/what-is-informatica-platform)
- [What are the different components of Informatica PowerCenter?](https://www.g2.com/discussions/what-are-the-different-components-of-informatica-powercenter)
- [What is Informatica PowerCenter used for?](https://www.g2.com/discussions/what-is-informatica-powercenter-used-for)

### [CData Connect AI](https://www.g2.com/it/products/cdata-connect-ai/reviews)

CData Connect AI è la prima piattaforma MCP gestita costruita per l'AI aziendale. Fornisce accesso live e governato a centinaia di fonti di dati—database, app SaaS, ERP e API—attraverso un'interfaccia relazionale standardizzata. Chiude tre lacune critiche: Connettività con accesso ai dati in tempo reale, in loco e con capacità complete di lettura/scrittura; Contesto attraverso l'intelligenza semantica affinché l'AI comprenda i termini aziendali e le relazioni tra i dati; e Controllo tramite autenticazione passante, tracciabilità degli audit e applicazione delle politiche. Il risultato è un'AI che può agire sui dati aziendali—in modo sicuro, accurato e su larga scala.

**Average Rating:** 4.6/5.0

**Total Reviews:** 26

#### How Do G2 Users Rate CData Connect AI?

- **Sicurezza dei dati:** 9.4/10 (Category avg: 8.9/10)
- **Orchestrazione:** 8.8/10 (Category avg: 8.7/10)
- **Prestazioni dell'applicazione:** 9.4/10 (Category avg: 8.7/10)
- **Facilità d'uso:** 9.1/10 (Category avg: 8.7/10)

#### Who Is the Company Behind CData Connect AI?

- **Venditore:** [CData](https://www.g2.com/it/sellers/cdata)
- **Sito web dell'azienda:** cdata.com
- **Anno di Fondazione:** 2014
- **Sede centrale:** Chapel Hill, NC
- **Twitter:** @cdatasoftware  
2,000 follower su Twitter
- **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3eb5efb603f85fae6f7a06719b547ca60bb7272169970e0357460242b5d20fb3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcdatasoftware%2F&secure%5Burl_type%5D=linkedin_company_website)  
500 dipendenti su LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Tecnologia dell'informazione e servizi
- **Company Size:** 52% Medium, 26% Large

#### What Do G2 Reviewers Say About CData Connect AI?

_AI-generated summary from verified user reviews_

##### Pros

- Gli utenti apprezzano l' **interfaccia intuitiva** di CData Connect AI, che consente agli utenti non tecnici di creare dashboard in modo indipendente.
- Gli utenti apprezzano l' **interfaccia intuitiva e facile da usare** di CData Connect, rendendo la navigazione senza sforzo ed efficiente.
- Gli utenti evidenziano la **facilità d'uso** di CData Connect AI, apprezzando la sua interfaccia intuitiva e l'integrazione senza soluzione di continuità.
- Gli utenti apprezzano le **facili integrazioni** di CData Connect AI, trovandolo senza soluzione di continuità per connettersi con vari prodotti.
- Gli utenti apprezzano le **capacità di automazione** di CData Connect AI, che li autorizzano a creare dashboard in modo indipendente.

##### Cons

- Gli utenti trovano il **tempo di risposta del supporto clienti carente** , causando frustrazione durante la loro esperienza con CData Connect AI.
- Gli utenti trovano la **curva di apprendimento impegnativa** , poiché la navigazione iniziale delle opzioni può essere opprimente.
- Gli utenti hanno affrontato **problemi di prestazioni occasionali** con CData Connect AI, influenzando la loro esperienza complessiva.
- Gli utenti spesso affrontano **scarse prestazioni** , portando a frustrazione e ritardi nella loro esperienza con CData Connect AI.

#### What Are Recent G2 Reviews of CData Connect AI?

**["Connettori potenti e accesso SQL rendono CData Connect AI eccezionale"](https://www.g2.com/it/survey_responses/cdata-connect-ai-review-12604050)**

**Rating:** 5.0/5.0 stars

_— ravi m._

[Read full review](https://www.g2.com/it/survey_responses/cdata-connect-ai-review-12604050)

**["Rendere l'IA veramente utile con l'accesso ai dati in tempo reale"](https://www.g2.com/it/survey_responses/cdata-connect-ai-review-12718851)**

**Rating:** 5.0/5.0 stars

_— Lavina W._

[Read full review](https://www.g2.com/it/survey_responses/cdata-connect-ai-review-12718851)

### [Rocket Data Virtualization](https://www.g2.com/products/rocket-data-virtualization/reviews)

Rocket Data Virtualization provides the ever-widening gap to automate the process of making mainframe data broadly accessible to developers and applications.

**Average Rating:** 4.4/5.0

**Total Reviews:** 12

#### How Do G2 Users Rate Rocket Data Virtualization?

- **Data Security:** 9.8/10 (Category avg: 8.9/10)
- **Orchestration:** 8.3/10 (Category avg: 8.7/10)
- **Application Performance:** 8.6/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.9/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Rocket Data Virtualization?

- **Seller:** [Rocket Software](https://www.g2.com/sellers/rocket-software)
- **Year Founded:** 1990
- **HQ Location:** Waltham, MA
- **Twitter:** @Rocket  
3,532 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b73864de33f4d4d2949aae271fd0bb4f865863c2dbc784032057e526fcf55333&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10127%2F&secure%5Burl_type%5D=linkedin_company_website)  
4,347 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 50% Small, 33% Medium

#### What Are Recent G2 Reviews of Rocket Data Virtualization?

**["This is the best software to integrate data from multiple sources ."](https://www.g2.com/survey_responses/rocket-data-virtualization-review-10386982)**

**Rating:** 4.0/5.0 stars

_— Ankit Kumar G._

[Read full review](https://www.g2.com/survey_responses/rocket-data-virtualization-review-10386982)

**["Accelerate Business Intelligence with Rocked Data Visualization Solutions"](https://www.g2.com/survey_responses/rocket-data-virtualization-review-10199255)**

**Rating:** 5.0/5.0 stars

_— Khalid Rasool W._

[Read full review](https://www.g2.com/survey_responses/rocket-data-virtualization-review-10199255)

#### What Are G2 Users Discussing About Rocket Data Virtualization?

- [What is Rocket Data Virtualization used for?](https://www.g2.com/discussions/what-is-rocket-data-virtualization-used-for)

### [CData Virtuality](https://www.g2.com/products/cdata-virtuality/reviews)

CData Virtuality - Data Virtualization for Flexible Data Architectures By uniquely combining data virtualization and physical data replication, CData Virtuality provides data teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data governance features that are indispensable for these frameworks. Enterprises around the world, such as BSH, PGGM, PartnerRe or Crédit Agricole use CData Virtuality to build modern data architectures that meet today’s and tomorrow’s business requirements. Imprint: https://www.cdata.com/company/legal/impressum/ Privacy notice: https://www.cdata.com/company/legal/privacy/

**Average Rating:** 4.7/5.0

**Total Reviews:** 20

#### How Do G2 Users Rate CData Virtuality?

- **Data Security:** 9.7/10 (Category avg: 8.9/10)
- **Orchestration:** 9.2/10 (Category avg: 8.7/10)
- **Application Performance:** 9.2/10 (Category avg: 8.7/10)
- **Ease of Use:** 9.0/10 (Category avg: 8.7/10)

#### Who Is the Company Behind CData Virtuality?

- **Seller:** [CData](https://www.g2.com/sellers/cdata)
- **Year Founded:** 2014
- **HQ Location:** Chapel Hill, NC
- **Twitter:** @cdatasoftware  
2,000 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3eb5efb603f85fae6f7a06719b547ca60bb7272169970e0357460242b5d20fb3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcdatasoftware%2F&secure%5Burl_type%5D=linkedin_company_website)  
500 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 65% Medium, 35% Small

#### What Are Recent G2 Reviews of CData Virtuality?

**["Great ETL tool"](https://www.g2.com/survey_responses/cdata-virtuality-review-9525797)**

**Rating:** 4.5/5.0 stars

_— Pierre B._

[Read full review](https://www.g2.com/survey_responses/cdata-virtuality-review-9525797)

**["Powerful Business Intelligence Tool"](https://www.g2.com/survey_responses/cdata-virtuality-review-8933588)**

**Rating:** 4.5/5.0 stars

_— Stefan Z._

[Read full review](https://www.g2.com/survey_responses/cdata-virtuality-review-8933588)

#### What Are G2 Users Discussing About CData Virtuality?

- [What is Data Virtuality used for?](https://www.g2.com/discussions/what-is-data-virtuality-used-for)

### [CData Connectors](https://www.g2.com/products/cdata-connectors/reviews)

CData Drivers & Connectors is a data connectivity platform that provides standards-based drivers and connectors for real-time access to over 300 SaaS applications, databases, APIs, and big data sources. The solution enables organizations to integrate live data from any source into their existing BI tools, analytics platforms, ETL processes, and custom applications using familiar interfaces like ODBC, JDBC, ADO.NET, and Python without requiring data replication or complex custom coding. This data integration software serves enterprises, mid-market companies, and development teams who need to connect disparate data sources for business intelligence, reporting, analytics, application development, and data warehousing initiatives. Users can access live data from popular platforms including Salesforce, SharePoint, QuickBooks, SAP, NetSuite, Snowflake, Amazon Redshift, and MongoDB through a unified SQL interface that eliminates the technical complexity of API integration. Key Features and Benefits: • Universal Data Connectivity: Access 300+ data sources through a single platform with support for major database systems, cloud applications, NoSQL databases, and web APIs, reducing integration complexity and development time • Standards-Based Integration: Native support for ODBC, JDBC, ADO.NET, Python, Excel, SSIS, and PowerShell enables seamless integration with existing tools and applications without requiring specialized technical expertise • Live Data Access: Real-time connectivity ensures users always work with current information without data movement, replication, or synchronization delays, maintaining data accuracy and reducing storage costs • High-Performance Architecture: Optimized drivers feature dynamic metadata discovery, intelligent caching, query pushdown optimization, and parallel processing capabilities that deliver enterprise-grade performance for large-scale data operations The platform processes over 2.7 billion queries monthly across 7,000+ enterprise customers and has been recognized in the 2024 Gartner Magic Quadrant for Data Integration Tools, demonstrating proven scalability and market validation for mission-critical data connectivity requirements.

**Average Rating:** 4.2/5.0

**Total Reviews:** 15

#### How Do G2 Users Rate CData Connectors?

- **Data Security:** 10.0/10 (Category avg: 8.9/10)
- **Orchestration:** 10.0/10 (Category avg: 8.7/10)
- **Application Performance:** 8.3/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.7/10)

#### Who Is the Company Behind CData Connectors?

- **Seller:** [CData](https://www.g2.com/sellers/cdata)
- **Year Founded:** 2014
- **HQ Location:** Chapel Hill, NC
- **Twitter:** @cdatasoftware  
2,000 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3eb5efb603f85fae6f7a06719b547ca60bb7272169970e0357460242b5d20fb3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcdatasoftware%2F&secure%5Burl_type%5D=linkedin_company_website)  
500 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 33% Large, 33% Medium

#### What Do G2 Reviewers Say About CData Connectors?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of CData Connectors, simplifying access to various data sources effortlessly.
- Users laud CData Connectors for their **ease of use and efficiency** , facilitating seamless data integration across multiple platforms.
- Users value the **easy setup** of CData Connectors, allowing for quick connections and efficient data integration.
- Users value the **implementation ease** of CData Connectors, appreciating their straightforward setup and reliable configuration process.
- Users commend the **seamless integration** of CData Connectors, enhancing connectivity across various platforms effortlessly.

##### Cons

- Users find the pricing options for CData Connectors **expensive** , especially for smaller teams, causing frustration.
- Users face **connection issues** with CData Connectors, affecting data population and automatic refresh in Power BI.
- Users highlight **poor performance** issues, particularly with large datasets and complex queries, affecting integration reliability.
- Users report **data inaccuracy** and issues with auto-refresh, impacting the reliability of CData Connectors.
- Users find that CData Connectors need **performance tuning for large datasets** , as complex queries can slow down processing.

#### What Are Recent G2 Reviews of CData Connectors?

**["Effortless Data Integration with Reliable Connections"](https://www.g2.com/survey_responses/cdata-connectors-review-11986008)**

**Rating:** 5.0/5.0 stars

_— Abhishek D._

[Read full review](https://www.g2.com/survey_responses/cdata-connectors-review-11986008)

**["Reliable Connectors with Potential for Cost Improvement"](https://www.g2.com/survey_responses/cdata-connectors-review-12237134)**

**Rating:** 4.0/5.0 stars

_— Rahul Kumar T._

[Read full review](https://www.g2.com/survey_responses/cdata-connectors-review-12237134)

#### What Are G2 Users Discussing About CData Connectors?

- [What is CData Query Federation Driver used for?](https://www.g2.com/discussions/what-is-cdata-query-federation-driver-used-for)
- [What is CData Python Connectors used for?](https://www.g2.com/discussions/cdata-python-connectors-what-is-cdata-python-connectors-used-for)
- [What is CData Driver Technologies used for?](https://www.g2.com/discussions/cdata-driver-technologies-what-is-cdata-driver-technologies-used-for)
- [What is CData Python Connectors used for?](https://www.g2.com/discussions/what-is-cdata-python-connectors-used-for)
- [What is CData Driver Technologies used for?](https://www.g2.com/discussions/what-is-cdata-driver-technologies-used-for)

### [TIBCO Data Virtualization](https://www.g2.com/products/tibco-data-virtualization/reviews)

An enterprise data virtualization solution that orchestrates access to multiple and varied data sources and delivers the data sets and IT-curated data services foundation for nearly any analytics solution

**Average Rating:** 4.2/5.0

**Total Reviews:** 30

#### How Do G2 Users Rate TIBCO Data Virtualization?

- **Data Security:** 8.3/10 (Category avg: 8.9/10)
- **Orchestration:** 8.6/10 (Category avg: 8.7/10)
- **Application Performance:** 8.5/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.2/10 (Category avg: 8.7/10)

#### Who Is the Company Behind TIBCO Data Virtualization?

- **Seller:** [Cloud Software Group](https://www.g2.com/sellers/cloud-software-group)
- **HQ Location:** Fort Lauderdale, FL
- **Twitter:** @cloudsoftware  
124 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=86a8da07f19bbb6871acf9d6e74baf5f74966e23f959aac6dd81145864d554b2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcloudsoftwaregroup%2F&secure%5Burl_type%5D=linkedin_company_website)  
9,527 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 63% Large, 28% Small

#### What Are Recent G2 Reviews of TIBCO Data Virtualization?

**["A Powerful Tool with Advanced Features but Complex Setup"](https://www.g2.com/survey_responses/tibco-data-virtualization-review-7624098)**

**Rating:** 4.0/5.0 stars

_— Priyanka A._

[Read full review](https://www.g2.com/survey_responses/tibco-data-virtualization-review-7624098)

**["Tibco Data Virtualization"](https://www.g2.com/survey_responses/tibco-data-virtualization-review-7612755)**

**Rating:** 5.0/5.0 stars

_— Ratiranjan N._

[Read full review](https://www.g2.com/survey_responses/tibco-data-virtualization-review-7612755)

#### What Are G2 Users Discussing About TIBCO Data Virtualization?

- [What are the advantages of data virtualization?](https://www.g2.com/discussions/what-are-the-advantages-of-data-virtualization)
- [What is data virtualization used for?](https://www.g2.com/discussions/what-is-data-virtualization-used-for)
- [How do I use Tibco data virtualization?](https://www.g2.com/discussions/how-do-i-use-tibco-data-virtualization)
- [What is Tibco data virtualization?](https://www.g2.com/discussions/what-is-tibco-data-virtualization) - 1 comment

### [Red Hat jBoss Data Virtualization](https://www.g2.com/products/red-hat-jboss-data-virtualization/reviews)

Red Hat JBoss Data Virtualization is a data supply and integration solution that sits in front of multiple data sources and allows them to be treated as single source, delivering the needed data in the required form at the right time to any application or user.

**Average Rating:** 4.1/5.0

**Total Reviews:** 16

#### How Do G2 Users Rate Red Hat jBoss Data Virtualization?

- **Data Security:** 8.3/10 (Category avg: 8.9/10)
- **Orchestration:** 7.6/10 (Category avg: 8.7/10)
- **Application Performance:** 8.3/10 (Category avg: 8.7/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Red Hat jBoss Data Virtualization?

- **Seller:** [Red Hat](https://www.g2.com/sellers/red-hat)
- **Year Founded:** 1993
- **HQ Location:** Raleigh, NC
- **Twitter:** @RedHat  
300,769 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4e0d3729ea76bc2ca4cd8f1f390777549ab9f3d824d6dd01fe584e175b43fe7a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3545%2F&secure%5Burl_type%5D=linkedin_company_website)  
19,413 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 38% Large, 31% Medium

#### What Are Recent G2 Reviews of Red Hat jBoss Data Virtualization?

**["Red Hat jBoss Data Virtualization Review"](https://www.g2.com/survey_responses/red-hat-jboss-data-virtualization-review-7733497)**

**Rating:** 4.0/5.0 stars

_— Ashi S._

[Read full review](https://www.g2.com/survey_responses/red-hat-jboss-data-virtualization-review-7733497)

**["Reliable software for unified data integration from various applications and data sources"](https://www.g2.com/survey_responses/red-hat-jboss-data-virtualization-review-7623008)**

**Rating:** 4.5/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/red-hat-jboss-data-virtualization-review-7623008)

#### What Are G2 Users Discussing About Red Hat jBoss Data Virtualization?

- [What is Teiid designer?](https://www.g2.com/discussions/what-is-teiid-designer)
- [What is JBoss data grid?](https://www.g2.com/discussions/what-is-jboss-data-grid)
- [What is data virtualization tools?](https://www.g2.com/discussions/what-is-data-virtualization-tools)
- [What is Red Hat JBoss data Virtualization?](https://www.g2.com/discussions/what-is-red-hat-jboss-data-virtualization)

### [VMware Cloud Director](https://www.g2.com/products/vmware-cloud-director/reviews)

The VMware vCloud Suite is a complete cloud infrastructure solution that simplifies IT operations while delivering the best SLAs for all applications.

**Average Rating:** 4.2/5.0

**Total Reviews:** 16

#### How Do G2 Users Rate VMware Cloud Director?

- **Data Security:** 8.9/10 (Category avg: 8.9/10)
- **Orchestration:** 8.3/10 (Category avg: 8.7/10)
- **Application Performance:** 8.9/10 (Category avg: 8.7/10)
- **Ease of Use:** 7.6/10 (Category avg: 8.7/10)

#### Who Is the Company Behind VMware Cloud Director?

- **Seller:** [Broadcom](https://www.g2.com/sellers/broadcom-ab3091cd-4724-46a8-ac89-219d6bc8e166)
- **Year Founded:** 1991
- **HQ Location:** San Jose, CA
- **Twitter:** @broadcom  
63,909 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=093adce8015fea9ef126312884b465dc8e3c20e17dcb12fbb77a7bd82577e7a5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbroadcom%2F&secure%5Burl_type%5D=linkedin_company_website)  
55,094 employees on LinkedIn®
- **Ownership:** NASDAQ: CA

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 53% Medium, 24% Large

#### What Are Recent G2 Reviews of VMware Cloud Director?

**["One of its kind cloud platform"](https://www.g2.com/survey_responses/vmware-cloud-director-review-7427805)**

**Rating:** 5.0/5.0 stars

_— Roman-Oko S._

[Read full review](https://www.g2.com/survey_responses/vmware-cloud-director-review-7427805)

**["VMware Cloud are one of powerfull cloud Pruduct which i used and implement in my project."](https://www.g2.com/survey_responses/vmware-cloud-director-review-7692236)**

**Rating:** 5.0/5.0 stars

_— Miduk ._

[Read full review](https://www.g2.com/survey_responses/vmware-cloud-director-review-7692236)

#### What Are G2 Users Discussing About VMware Cloud Director?

- [What is VMware Cloud Director used for?](https://www.g2.com/discussions/what-is-vmware-cloud-director-used-for)

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[Browse Data Virtualization Themes](/categories/data-virtualization/themes)

 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
BB

Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated October 3, 2024

Data virtualization software is used by teams to facilitate agile data storage, retrieval, and integration processes through the use of virtual data layers.

To qualify for inclusion in the Data Virtualization category, a product must:

- Abstract data through a virtualized layer
- Integrate data from disparate sources
- Facilitate data retrieval and manipulation

Show More

### Data Virtualization Topics

- [What is Data Virtualization Software?](#what-is-data-virtualization-software)
- [What are the Common Features of Data Virtualization Software?](#what-are-the-common-features-of-data-virtualization-software)
- [What are the Benefits of Data Virtualization Software?](#what-are-the-benefits-of-data-virtualization-software)
- [Who Uses Data Virtualization Software?](#who-uses-data-virtualization-software)
- [What are the Alternatives to Data Virtualization Software?](#what-are-the-alternatives-to-data-virtualization-software)
- [Challenges with Data Virtualization Software](#challenges-with-data-virtualization-software)
- [Which Companies Should Buy Data Virtualization Software?](#which-companies-should-buy-data-virtualization-software)
- [How to Buy Data Virtualization Software](#how-to-buy-data-virtualization-software)
- [Data Virtualization Software Trends](#data-virtualization-software-trends)

[
### Data Virtualization Topics
 Expand/Collapse ](#)
- [What is Data Virtualization Software?](#what-is-data-virtualization-software)
- [What are the Common Features of Data Virtualization Software?](#what-are-the-common-features-of-data-virtualization-software)
- [What are the Benefits of Data Virtualization Software?](#what-are-the-benefits-of-data-virtualization-software)
- [Who Uses Data Virtualization Software?](#who-uses-data-virtualization-software)
- [What are the Alternatives to Data Virtualization Software?](#what-are-the-alternatives-to-data-virtualization-software)
- [Challenges with Data Virtualization Software](#challenges-with-data-virtualization-software)
- [Which Companies Should Buy Data Virtualization Software?](#which-companies-should-buy-data-virtualization-software)
- [How to Buy Data Virtualization Software](#how-to-buy-data-virtualization-software)
- [Data Virtualization Software Trends](#data-virtualization-software-trends)

## Learn More About Data Virtualization Software

### What is Data Virtualization Software?
 

Data virtualization provides agile data storage, retrieval, and integration. It accomplishes this through data layers, which serve as an abstraction of said data, allowing one to access and understand data in a simple and streamlined manner. With this software in place, businesses can access and modify diverse data through a single view. ** **

 

Data is only valuable if it is accessible. A perennial problem that occurs at organizations, especially larger ones, is that business functions and departments can get siloed. In these cases, company data is not easily accessible across departments, oftentimes leading to different data sources for the same sets of data. In addition, those within a specific department (marketing, for example) might not communicate with another department (finance, for example) and as a result, thereof will maintain the same data in different systems.

 

### What are the Common Features of Data Virtualization Software?
 

The following are some core features within data virtualization software that can help users in administrating, federating, and transforming their data:

 

**Data administration:** This software helps users make sense of and manage their data. As such, administrative features, such as database management, access control, and data security are musts. Data is only valuable if it can be accessed and understood so it is key that users can use data virtualization to manage different types of databases and integration methods. 

 

In addition, it is not only about the “what” (e.g., data types and sources), but also the “who” (i.e., who can access the data). Data virtualization tools must give administrators control over data-related privileges and accessibility. Finally, it must allow users to secure access to data and provide additional support for security practices like IP whitelisting, attack mitigation, and data encryption.

 

**Data federation:** Data federation refers to the ability to map data or metadata from multiple autonomous databases into a single (i.e., federated) database or data view. With data federation, businesses can begin to manage and organize storage, networks, and data centers, as well as integrate this data into various systems and applications.

 

**Data transformation:** Data need not and should not remain stagnant, stuck in databases and merely glanced at from time to time. Instead, it is important to analyze it, combining different datasets and discovering trends across them. Data virtualization software can help with this through data modeling and data visualization. The former assists in structuring data in a manner that allows extracting insights quickly and accurately and the latter provides the ability to represent data in a variety of graphic formats.

 

### What are the Benefits of Data Virtualization Software?
 

**Profitability:** Data virtualization can help to consolidate data and provide a bird’s eye view of a business' data. As a result, these platforms can assist in rooting out and removing duplicate data records and ensuring that data is consistent and clean. Dirty data can be extraordinarily costly, both in terms of the costs involved in cleaning as well as the costs involved in cleaning up messes that come about as a result of inconsistent data.

 

For example, a company without any form of data consolidation might have a metaphorical brick wall between the finance and marketing departments. If the marketing team, based on their datasets and sources, believes that the business is succeeding, they may pour exorbitant amounts of money into their campaigns. However, if they had a proper view of company data, they might realize that things were not as great as they thought. The overspend from the marketing team, in this case, could have been forestalled with data virtualization tools, helping them better understand their data across teams and functions.

 

**Productivity:** As is the case with other data tools, such as self-service analytics, efficiency can be significantly boosted with data virtualization software. Historically, data access and analysis was the purview of specialized individuals and teams, such as IT. As a result, others who had an interest in analyzing or even accessing this data were forced to wait in line and get it handed to them by the data gatekeepers. This was not a quick and efficient solution and was costly as well, both in terms of the need for specialized workers, as well as the fact that by the time the data was presented it might be stale and outdated. 

 

**Scalability:** As an agile solution, data virtualization can easily scale as a business. In addition, it can be deployed across on-premises, cloud, or hybrid infrastructure.

 

### Who Uses Data Virtualization Software?

**Database administrators:** Those who are in charge of storing and organizing data will typically be using or evaluating a host of different software offerings and categories. First, they will typically focus on data storage solutions such as [database software](https://www.g2.com/categories/database-software). Concurrently or thereafter, they should consider data virtualization technology that can help them develop a robust data storage solution, helping their colleagues gain access to the company’s data.

**Data analyst:** Data analysts work with a variety of data sources and resources, often needing to access various systems to extract data. With data virtualization software, they get a logical data extraction layer, which makes their work easier. Now, they need not move around data and can instead use pointers to data blocks in order to conduct their analysis.

**Data engineer:** Similar to database administrators, data engineers focus on the consolidation and integration of data. They aid other team members, such as analysts. With their focus on the data within databases, as opposed to data itself, data engineers can benefit greatly from virtualization tools which can help them reduce issues with company data.

### What are the Alternatives to Data Virtualization Software?

Alternatives to data virtualization software can replace this type of software, either partially or completely:

[Data replication software](https://www.g2.com/categories/data-replication) **:** As opposed to data virtualization software which serves as a layer that connects disparate data sources, data replication software helps companies store data in more than one location to improve both availability and accessibility. Both software types can reduce the workload on databases (for example, transactional databases) where performance is key. 

[Data fabric software](https://www.g2.com/categories/data-fabric): Businesses focused on the integration of data can look to data fabric software, which is a unified data platform that enables organizations to integrate their data and data management processes. This software offers benefits such as the ability to explore and extract value from any form of data regardless of location by connecting stores of structured and unstructured data. It provides centralized access via a single, unified view of an organization's data that inherits access and governance restrictions.

#### Software Related to Data Virtualization Software

Related solutions that can be used together with data virtualization software include:

[Database software](https://www.g2.com/categories/database-software) **:** In order to use data virtualization tools, there must be data in the first place, which is frequently stored in repositories, such as databases, including relational, noSQL, and nonnative database management systems. Before looking to adopt a layer on top of one’s data it is important to have a firm understanding of and strategy for managing the data.

[Analytics platforms](https://www.g2.com/categories/analytics-platforms) **:** Data virtualization provides the ability to analyze data without needing direct access to the original source data. As such, data is ready to be analyzed and examined with tools such as analytics platforms, which provide a toolset for businesses to absorb, organize, discover, and analyze data. This helps reveal actionable insights that can help improve decision making and inform business strategy.

[DataOps platforms](https://www.g2.com/categories/dataops-platform) **:** Although data virtualization can assist in a host of data-related tasks, it often does not provide a holistic end-to-end solution for data operations. For this task, DataOps platforms can help control the entire workflow and related processes and ensure data-driven decisions are being made; cycle times are reduced significantly and users are empowered with a single point of access to manage the data. Companies can leverage DataOps platforms to derive on-demand insights for successful business decisions.

### Challenges with Data Virtualization Software

Software solutions can come with their own set of challenges. For data virtualization, it is critical that those who interact with, share, and analyze company data adopt the solution. Without adoption, business users risk accessing old and outdated data, or not being able to access data at all.

**User adoption:** It is not always easy to transform a business into a data-driven company. Particularly at more established companies that have done things the same way for years, it is not simple to force analytics tools upon employees, especially if there are ways for them to avoid it. If there are other options, such as spreadsheets or existing tools that employees can use instead of analytics software, they will most likely go that route. However, if managers and leaders ensure that analytics tools are a necessity in an employee’s day to day, then adoption rates will increase.

**Data organization:** Big data solutions are only as good as the data that they consume. To get the most of the tool, that data needs to be organized. This means that databases should be set up correctly and integrated properly. This may require building a data warehouse, which stores data from a variety of applications and databases in a central location. Businesses may need to purchase a dedicated data preparation software as well to ensure that data is joined and clean for the virtualization solution to consume in the right way. This often requires a skilled data analyst, IT employee, or an external consultant to help ensure data quality is at its finest for easy analysis.

**Data security:** Companies must consider security options to ensure the right users see the correct data, to guarantee strict data security. Effective analytics solutions should offer security options that enable administrators to assign verified users different levels of access to the platform, based on their security clearance or level of seniority.

### Which Companies Should Buy Data Virtualization Software?

Businesses from across industries can benefit from this technology. 

**Health care:** Within health care, a large amount of data is produced, such as patient records, clinical trial data, and more. In addition, as the process of drug discovery is particularly costly and takes a significant amount of time, health care organizations are using data virtualization software to speed up the process, using data from past trials, research papers, and more. It should be noted that data privacy concerns that arise in a health care context will still be relevant when deploying these solutions.

With data virtualization they are able to better access their data, thus helping health care organizations innovate effectively and efficiently. Sometimes, this technology is coupled with [synthetic data software](https://www.g2.com/categories/synthetic-data), which allows organizations to share and use the synthetic data without compliance concerns or exposing personal data.

**Retail:** In retail, especially e-commerce, personalization is important. Top retailers are recognizing the importance of data virtualization in order to access customer-related data from vast and disparate systems. With the proper software in place, these businesses can begin to get their data in order, and port this data into data science and machine learning platforms, as well as analytics platforms.

**Finance:** The use of data in financial services can yield significant gains, such as for banks, which can use it for everything from processing credit score related data to distributing identification data. With this software, data teams can access and process company data and deploy it to both internal and external applications.

### How to Buy Data Virtualization Software

#### Requirements Gathering (RFI/RFP) for Data Virtualization Software

When assessing tools, buyers must keep in mind that as the company and its data scale, it may be necessary to reevaluate software options down the line. Therefore, when possible it is best to consider solutions that are scalable and offer different options or tiers depending on the amount of data and usage. Also, one should be sure to consider the heterogeneous data sources at their organization, to ensure that the product integrates with them.

In addition, it is important to consider the use case. If a business is considering an operational use case, a less full-featured traditional platform might suffice. However, if one is looking to use the software for analytics workloads, which can be more varied data wise, it might be wise to consider more robust solutions that can support autonomous performance management.

#### Compare Data Virtualization Software Products

**Create a long list**

To evaluate the software, buyers can start by jotting down all relevant data sources, systems, and data uses. With this at hand, it will be easier to assess whether or not they are supported by a given product. Businesses must take note of whether or not a seller supports various data types, such as file-based, relational, API-based, etc. Also, considering the development environment is crucial—whether or not the product allows for one to design virtual data views or semantic models and if they support web-based design environments, for example.

**Create a short list**

With a matrix of the business’ data ecosystem and requirements in comparison to the capabilities of the products, which can be facilitated by G2’s verified features, a business can determine where the greatest amount of overlap is. The ideal is for there to be complete overlap (i.e., the software can support all that the business is looking to accomplish). If there is no complete overlap, it is recommended to try to find a solution that is the closest fit and is within budget.

**Conduct demos**

Trying before buying is critical. Buyers must test out data virtualization products and see how it looks and feels. One should note down how fast it works, whether data queries are working as expected, and more. It is also important to ask questions and request features if they do not already have them.

#### Selection of Data Virtualization Software

**Choose a selection team**

Multiple stakeholders should be involved in the purchasing process, including those who interact with the business data, as well as data analysts and database administrators who are tasked with data organization and deriving insight from data. These individuals will all have different perspectives and will provide useful insight into the buying process. 

**Negotiation**

As with any software category, the price is often flexible and should be questioned. Buyers may mention other prices and offerings in order to get a fair price. Negotiations can happen around factors such as contract length, the number of users, and more. It is recommended to dig into the impact of these factors in order to get a fair price.

**Final decision**

In larger organizations, the final decision would likely be made by the chief information officer (CIO). In smaller organizations, it may be the chief technology officer (CTO), or even the data analytics team, depending on the use case.

### Data Virtualization Software Trends

**Cloud computing**

With the ability to store data in remote servers and easily access them, businesses can focus less on building infrastructure and more on their data, both in terms of how to derive insight from it, as well as to ensure its quality. With the move to the cloud, businesses have easier access to their data, but also more places their data can be. This makes data management even more important.

**Volume, velocity, and variety of data**

As previously mentioned, data is being produced at a rapid rate. In addition, the data types are not all of one flavor. Individual businesses might be producing a range of data types, from sensor data and IoT devices to event logs and clickstreams. As such, the tools needed to process and distribute this data need to be able to handle this load in a way that is scalable, cost efficient, and effective. Advances in AI techniques, such as machine learning, are helping to make this more manageable.