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Extensive library of connectors: Many users have found the extensive library of connectors provided by Data Virtuality to be very helpful, …
Overview
What is Data Virtuality Platform?
The Data Virtuality Platform is a data integration and management solution designed to integrate data from various sources, regardless of type, format, or location. According to the vendor, this platform targets small to large enterprises and is suitable for data architects, data engineers, business...
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What is Data Virtuality Platform?
Data Virtuality, headquartered in Leipzig, offers two products to solve data integration and management problems in a tailored way that best suits data teams in the fast-paced world of data. The Data Virtuality Platform combines data virtualization and data replication, Data Virtuality Platform…
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- Premium Consulting/Integration Services
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Product Demos
Data Virtuality: The World of Data Virtualization Podcast
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Product Details
- About
- Tech Details
What is Data Virtuality Platform?
The Data Virtuality Platform is a data integration and management solution designed to integrate data from various sources, regardless of type, format, or location. According to the vendor, this platform targets small to large enterprises and is suitable for data architects, data engineers, business analysts, heads of data, and DevOps professionals. It finds applications across industries such as e-commerce/retail and financial services, offering a unified data access layer and streamlining data integration processes.
Key Features
Connect: According to the vendor, the platform enables the integration of data from disparate sources using methods like data virtualization, ETL/ELT, streaming, and CDC.
Query: The platform allows users to create a central data logic using SQL language for data queries, simplifying data integration and enabling the retrieval of specific information from multiple sources.
Replicate: The platform seamlessly replicates data using SQL commands translated into native data source commands, supporting real-time replication from various sources into a centralized data repository.
Deliver: According to the vendor, the platform facilitates the delivery of data to any data consumer, supporting integration with a wide range of tools and applications, and providing flexibility in delivering data in various formats and programming languages.
Data Governance: The platform offers robust data governance features, including data quality controls, access controls, and compliance with data regulations and standards, to ensure data integrity, security, and compliance.
Business Data Shop: The platform provides a centralized data marketplace for users to discover and access pre-integrated data sources, streamlining the data discovery and access process while promoting collaboration and knowledge sharing.
Security, Authentication, Audit: According to the vendor, the platform implements security measures, authentication mechanisms, and auditing capabilities to protect data, control access, and ensure compliance with data security and privacy regulations.
Change Data Capture (CDC): The platform captures and replicates only changed data in real-time, supporting incremental updates and enabling efficient and timely data replication for near-real-time analytics and reporting.
Optimization: The platform optimizes data integration and query performance through query optimization techniques, caching mechanisms, and tools to enhance the overall data integration workflow, according to the vendor.
Streaming: According to the vendor, the platform supports real-time data streaming, enabling the integration of streaming data sources into the data integration pipeline and facilitating the processing and transformation of streaming data in real-time.
Data Virtuality Platform Video
The technology behind DataVirtuality
Data Virtuality Platform Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Pros
- Cons
- Recommendations
Extensive library of connectors: Many users have found the extensive library of connectors provided by Data Virtuality to be very helpful, with multiple reviewers mentioning this as a positive aspect. This wide range of connectors allows users to easily integrate various data sources into their workflows and saves them time on integration efforts.
Powerful SQL engine for customization: The powerful SQL engine of Data Virtuality has been praised by several users. They appreciate the ability to completely customize the data flow from sources to various data tools, which provides greater flexibility in data management. This feature has been highly regarded by multiple reviewers.
Real-time data access and simplified retrieval: Several users have mentioned that Data Virtuality's capability to enable real-time data access from any source is a valuable benefit. By treating all sources as SQL databases, this feature enhances data accessibility and simplifies the process of retrieving required information. Multiple reviewers have highlighted this aspect as a positive attribute of Data Virtuality.
Complex Server Administration: Some users have found the administration of the server to be complex, requiring the use of scripts instead of a GUI. This has made it challenging for them to navigate and manage the system efficiently.
Lack of Onboarding Materials: Several reviewers have noted that onboarding materials and best practices are lacking, making it necessary to have good SQL skills and knowledge of databases in order to be productive right away. This lack of guidance has caused some frustration for new users.
Difficulty Understanding Data Sources: Users have expressed the need to know the data dictionaries in order to understand all the sources. Without this information readily available, it can be time-consuming and confusing for them to analyze and interpret the data effectively.
Users highly recommend trying out Data Virtuality during the 14-day test phase to experience how it effectively centralizes data. They also suggest considering data virtualization, specifically Data Virtuality, for faster data delivery and efficient management in organizations. Another recommendation is to take advantage of the product trial and utilize the support chat option for any issues or questions, as users have found the support to be excellent. Overall, users are very satisfied with Data Virtuality, appreciating its sophisticated software with a wide range of features that have successfully supported building marketing analytics stacks and improving infrastructure.
Reviews
(1-1 of 1)Companies can't remove reviews or game the system. Here's why
November 05, 2022
“Integration of data is quick, strong, and centralized.”
We use Data Virtuality, a fantastic concept that simplifies
mapping data structures to relational tables. It's brilliant to use a few lines
of SQL to connect to SFTP Server, query new JSON files, convert them to XML,
and map all acquired data to the relational model for the warehouse. About 20
lines of clean, well-structured SQL code are needed. There are pipes in place
for each potential data source. Pipes was the only option we found that met our
requirements, as it was both reasonably priced and included an integrated SQL
editor, making ETL a breeze. I like data replication and stored procedures
language (more than T-SQL)—customer support is excellent. If there's a bug,
they fix it quickly and send us the patch. Thus, I have a fair opinion of the
Data Virtuality Platform.
- ETL/ELT model building is flexible.
- The pipes' setup and use are intuitive.
- It lets us access various data sources, extract, and analyze data.
- Configuring data connectors can be tricky.
- Price could be more flexible and adapt to the use case.
- The ETL builder's user interface could be prettier.
- Data accessibility.
- Rapid prototypes of BI.
- Centralized business logic data.
- Stored procedure data flow automation.
- It has the capability of integrating data from a variety of different sources.
- It improved development and user interface to offer a robust MDM repository and strategy.
- It offers a comprehensive solution for processing and retrieving data, which is one of the ways it assists.
Data Virtuality Platform has powerful transformation and
scheduling capabilities combined with the best support team. A virtual data
layer that supports SQL procedures is a game changer. Data Virtuality has made
data management more efficient. It lets us access various data sources, extract,
and analyze data. The short time it takes to connect to our data sources and
the flexibility of the virtual SQL layer allows us to meet our end users' data
needs.