Data Virtuality Platform Reviews

- The extensive library of connectors. The Data Virtuality team also develops them on request which we need occasionally for new clients

- The powerful SQL engine. It lets us completely customize every aspect of the data flow from the sources to a variety of data tools

- Data Virtuality allows us to move and migrate data as well which we need for certain APIs where live-querying data would run into API limits

Administrating the server can be somewhat complex, leading to the need for running scripts as opposed to using the GUI.

- We've found Data Virtuality to be an essential data integration tool for the BI and data science services we offer to our clients. Its compatibility with databases, APIs, and files has allowed us to work effectively with our clients data.

- One notable aspect of Data Virtuality is the SQL editor, which has been particularly useful for data discovery and data modeling. This editor allows our team to create custom queries, streamline data transformation and manipulation processes, and derive insights from multiple data sources. As a result, we have been able to offer much more personalized and high-quality BI and data science services to our clients.

Enables real-time data access from any source. It essentially allows us to treat any connected sources as a SQL database

Provides various caching capabilities and gives control over the methods of performance optimizations such as distributed query optimization, in-memory caching, and materialization in a 3rd party database

I am using procedural SQL to automate workflows and it works well

Onboarding materials and best practices are rather scarce. Good skills using SQL and ideally knowing how databases work are required to be productive right out of the box

- Data Virtuality is the main data integration tool that we’re using for accessing our customer's data to run services on top of it, internally for self-service analysis, and providing datasets from various sources to internal stakeholders. It also supports our data integration and ETL/ELT processes, offering real-time data access when needed.

Data Virtuality is a powerful tool which easily integrates a wide range of different data sources. Every data source then can be accessed with SQL. It also has a powerful job scheduler and with its ability to write procedural SQL you can write complex ETL pipelines in a very short time. As a virtualization middleware it also allows real time access to data sources and cross data source joins to get ad-hoc insights.

More information about what happens "inside" the software would be great, especially when encountering a bug or unexpected behavior. But the customer support is always available for help, they have a very fast response time and provide solutions or short time workarounds if needed.

Data Virtuality helped us to integrate and consolidate a large number of data sources, internal and external ones. We were able to create a single point of truth for all data in our organization. It made data-driven business decisions very easy.