1. Home
  2. Data Virtualization Tools
  3. TIBCO Data Virtualization Reviews
  4. User Review of TIBCO Data Virtualization
A short journey with a pricey tech
November 28, 2023

A short journey with a pricey tech

Anonymous | TrustRadius Reviewer
Score 5 out of 10
Vetted Review
Verified User

Overall Satisfaction with TIBCO Data Virtualization

I used TIBCO Data Virtualization to build a federated query engine extracting data from several different sources and serving it up to a semantic layer to be used by the business.
  • It has ability to connect to a variety of platforms
  • It offers a central management console for admins accessible on web browser
  • It abstracts the complexity of ETLs from the end users of data who consume it to drive decision making.
  • TIBCO Data Virtualization does not offer out of the box it's own caching layer. It has to be augmented with some other database technology to cache data for efficient querying.
  • TIBCO Data Virtualization is very tedious to maintain when it comes to managing granular permissions on objects and artifacts.
  • TIBCO Data Virtualization by default tends to process the data in its own server memory instead of delegating it to the backend systems where data comes from. This sometimes leads to a server crash if not handled properly.
  • TIBCO Data Virtualization significantly reduced data engineering time and effort, since the technology enabled non-technical folks to create semantic layers for business metrics.
  • TIBCO Data Virtualization did impact data quality quite a bit that resulted from the loss of governance usually available with standard ETLs.
  • TIBCO Data Virtualization could not scale well to the point of enterprise adoption and was later decided to be retired ultimately in favor of modern technologies.
TIBCO Data Virtualization performs well when it works with smaller volumes of data.
TIBCO Data Virtualization struggles when plugged with high volume data sources.
TIBCO Data Virtualization worked well when integrated with TIBCO Spotfire as analytics tool, however it performed very slow when integrated with Power BI.
In our organization it is crucial that the technology can handle large volume of data. The underperformance of TIBCO Data Virtualization with large volume of data was the main caveat/rationale behind its limited longevity at our organization. We used TDV in a cloud environment where scale was not a limitation, but still TDV could not perform to the levels of expectation.
We have used and are still using SQL Server for database technology. TIBCO Data Virtualization apparently reduced development time in ingesting data, but it could not hold strong against SQL server in terms of querying performance.

Do you think TIBCO Data Virtualization delivers good value for the price?

Not sure

Are you happy with TIBCO Data Virtualization's feature set?

No

Did TIBCO Data Virtualization live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of TIBCO Data Virtualization go as expected?

I wasn't involved with the implementation phase

Would you buy TIBCO Data Virtualization again?

No

TIBCO Data Virtualization is well suited for customers who are challenged to deal with extracting data from dozens of different sources and systems, and do not have the time and liberty to hire data engineers and/or ETL developers to write dozens or hundreds of complex ETLs.

However, there are situations where TIBCO Data Virtualization severely underperforms, and those are where we are dealing with large volumes of data, in tera bytes or peta byte scale system. For example, a messaging queue which sends 200 million messages every hour will choke TIBCO Data Virtualization if the technology is chosen to route the data.