TIBCO Data Virtualization Manufacturing Reviews & Insights

Score8.6 out of 10

99 Reviews and Ratings

Community insights

TrustRadius Insights for TIBCO Data Virtualization are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Data Cache Performance: Users have appreciated the software's ability to maintain a live copy of data through Data Cache, significantly enhancing data processing speed and efficiency. This feature has proven crucial for users looking to optimize their data handling processes.

Secure Design Features: Reviewers have highlighted the software's design with abstraction, row-level security, and column-level security as strong points. These features play a vital role in ensuring that sensitive information is protected and accessible only to authorized personnel.

Improved Data Governance: Many users found the common data model design for Business and IT beneficial as it enhances data governance practices within organizations. By facilitating faster implementation processes, this design contributes to reducing time-to-market for new initiatives.

TIBCO Data Virtualization Reviews

7 Reviews

ManufacturingAutomotive1Food & Beverages1Pharmaceuticals3Consumer Goods1Biotechnology1

Powerful data visualization tool for more insights, collaboration

Rating: 10 out of 10

Incentivized

July 24, 2023

Use Cases and Deployment Scope

I use TIBCO Spotfire to analyze and visualize tabular data in biomedical research, which including preclinical experiment, screening, text mining, genomics, data from clinical trials.

Pros

process, reshape data, allows many operations like pivot, unpivot, change column names etc.
interactive interface
variety of visualization provided
option of sharing on web or download as file
data canvas to understand relationship among data tables and edit processes

Cons

interface: the filters - can be a hassle when many tables in the
color scheme: not be able to save or customize
export image can't define the size of output
can't define the base scheme color e.g. axis, ticks, current default is too light, difficult to see in Powerpoint.

Likelihood to Recommend

visualize high through put data: e.g. genomics, gene expression.
manipulating data frame

Yunyu Zhang

Data Scientist in Research & Development at Novartis (Pharmaceuticals, 10,001+ employees)

Vetted Review

15 years of experience

TDV - Great for creating master view as a source of truth.

Rating: 9 out of 10

Incentivized

March 7, 2023

Use Cases and Deployment Scope

TDV is used in our organization to create master data views used by a host of downstream applications as a common source of the data stream. TDV is helpful in the sense that we can create a common master view by combining different consumer views sourced from a wide variety of data sources.

Pros

Master data views from disparate data sources.
Integration with Cloud technologies.
Compatibility with target systems such as Business Objects, Spotfire etc.

Cons

Improve the web manager console to better manage users /groups/ monitor logs etc.

Likelihood to Recommend

Well suited: Useful for aggregating data sources and creating a master view to be used across Org streams/ units. Less appropriate: Not a lot of organs use TDV solely because it is marketed as a sole virtualization product rather than a suite of products. Moreover, there is definitely room for improvement when it comes to the user interface, especially the web manager console.

Verified User

Project Manager in Information Technology (Pharmaceuticals company, 10,001+ employees)

Vetted Review

10 years of experience

[TIBCO Data Virtualization], a trustworthy solution for struggling businesses

Rating: 7 out of 10

Incentivized

August 30, 2021

Use Cases and Deployment Scope

We use [TIBCO Data Virtualization] to extract different data from several data sources and [it has] always met our needs. It's been a good [purchase] with a great ROI.

Pros

Data extraction
Data preparation
Metadata support
Data virtualization

Cons

Customer support
Updates

Likelihood to Recommend

[TIBCO Data Virtualization is] best used for data extraction from multiple sources, especially when the data isn't easy to to integrate for a final result. [TIBCO Data Virtualization] can effectively prepare the data to be usable for our needs.

BENAOUN Mahdi

Software Developer in Engineering at Primatec Engineering (Automotive, 501-1000 employees)

Vetted Review

3 years of experience

View profile

TIBCO is the best!

Rating: 9 out of 10

Incentivized

May 10, 2021

Use Cases and Deployment Scope

It is being used by our IT team and it helps to make access to data faster as well to integrate different databases.

Pros

Help in reusing data easily.
Help in integrating different databases.
Allows for more time to analyze the data.

Cons

A cleaner interface.
More clarifications or help options.

Likelihood to Recommend

Well suited for organizations that have disparate data sources in traditional and cloud platforms - to tie them together. Less appropriate for businesses that have cleaner data to begin with.

Verified User

Analyst in Marketing (Pharmaceuticals company, 10,001+ employees)

Vetted Review

1 year of experience

Virtual reality in the data world

Rating: 6 out of 10

Incentivized

May 1, 2019

Use Cases and Deployment Scope

Allows integration of data sources of various types from different departments, so that it can be accessed without actual retrieval of data.

Pros

Drag and drop feature.
The large variety of data source adapters.
Works with Spotfire for analytics.

Cons

Cost.
Sometimes not as easy to deploy as expected.

Likelihood to Recommend

The drag and drop feature makes it very visual for combining elements across various data sources, and with that, the plethora of data adapters make that straightforward. If your organization uses other TIBCO products like Spotfire, they will work well together. Otherwise, it can be pricey. Sometimes it is also not as easy to deploy as expected.

Verified User

Analyst in Research & Development (Biotechnology company, 1001-5000 employees)

Vetted Review

1 year of experience

Candy maker Cloetta merges local and global data using TIBCO Data Virtualization

Rating: 7 out of 10

Incentivized

December 6, 2018

Use Cases and Deployment Scope

Cloetta’s data was mainly stored in an enterprise data warehouse (EDW). The time needed to make new data available for reporting through the EDW was relatively long. Local and external data comes in high volumes, is scattered in many parts or objects, and is unstructured. The business expects a fast time to solution, thus eventually data needs to be retrieved in real time.

The business was manually creating reports, which was time consuming, inefficient, exposed to errors, and sometimes impossible due to large amounts of data. Data and reports were not readily available for everyone who needed them.

Cloetta wanted to find a way to combine global, local, internal, and external data into one comprehensive report. The limited number of users on some of these reports required that any solution be cost-efficient.

Pros

Faster Time to Solution
We can combine new data that we made available through data virtualization with the data that we had before in the enterprise data warehouse. It’s a strong combination.

Cons

No integrated version management and no possibility for tem based development (with check-out and check-in)
Performance, more out of the box query optimization
'Type ahead' and auto correction / detection of table and field names on script is not there, so requires ot of maual / textual work

Likelihood to Recommend

Well suited to read data from Excel files, although to set up an efficient and error-proof process it requires you to create a foundation and that is quite time consuming, but once it's there, it works well.

Solution is structured nicely in a folder hierarchy.

Less apppropriate when you need to add a lot of business logic to the data, if you need to enrich the data. Such logic is hard to implement and slows down a lot.

Less appropriate for creating real-time insights, caching or storing on database is almost always required to get good performance.

Sofie Hönen

Solution Architect Business Intelligence in Information Technology at Cloetta (Consumer Goods, 1001-5000 employees)

Vetted Review

1 year of experience

View profile

Data virtualization

Rating: 8 out of 10

Incentivized

September 7, 2018

Use Cases and Deployment Scope

Currently being used by a department but with the goal to take it company wide. Our current architecture map includes a vast set of databases with specific audiences. Having all these in one place to manage would make my group's life easier.

Pros

Group multiple data clusters together
Have a common point of access for information
Ease of system maintenance

Cons

User friendliness
Data cleansing features
Collaboration

Likelihood to Recommend

Well suited for our needs since we are a smaller organisation with limited resources. Data cleansing features before virtualisation features would need to be added.

Elisa Andujar

EDI/E-commerce Support in Information Technology at Goya Foods, Inc. (Food & Beverages, 501-1000 employees)

Vetted Review

View profile

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Candy maker Cloetta merges local and global data using TIBCO Data Virtualization

Rating: 7 out of 10

Incentivized

December 6, 2018

Use Cases and Deployment Scope

Pros

Faster Time to Solution
We can combine new data that we made available through data virtualization with the data that we had before in the enterprise data warehouse. It’s a strong combination.

Cons

No integrated version management and no possibility for tem based development (with check-out and check-in)
Performance, more out of the box query optimization
'Type ahead' and auto correction / detection of table and field names on script is not there, so requires ot of maual / textual work

Likelihood to Recommend

Solution is structured nicely in a folder hierarchy.

Less apppropriate when you need to add a lot of business logic to the data, if you need to enrich the data. Such logic is hard to implement and slows down a lot.

Less appropriate for creating real-time insights, caching or storing on database is almost always required to get good performance.

Sofie Hönen

Solution Architect Business Intelligence in Information Technology at Cloetta (Consumer Goods, 1001-5000 employees)

Vetted Review

1 year of experience

View profile