Reviews (1-13 of 13)
- Data management: being able to pull and manipulate massive amounts of data in real time makes analysis much easier
- Availability of data connectors: we can connect to virtually any data source, including databases, APIs, flat files, and other web sources.
- Caching: storing standard data pulls in memory means better performance when that data is used in other sources
- seamless connection to spotfire means getting data into spotfire for analysis a breeze
- We did have some issues with API authentication in the past that slowed down our progress on some data, but that was eventually rectified with the latest version of TDV
- Price: we use TDV exclusively to push data into spotfire, but we did investigate if we could use it to push to other systems (excel, power BI, etc.) The cost to push to spotfire is incredibly economical, but scaling to push to other systems was too much for us.
- Not exactly user friendly. a strong db/sql background is pretty much essential to use TDV to the level it should be,
- User interface is straight-forward and easy.
- Ability to connect to data sources is not difficult.
- Implementation has been seamless.
- Setup of security is difficult within the tool, as there are nuances.
- Reduce duplication of data
- Easy to use and run queries on different data sources
- It is versatile but it also makes it quite complex if you haven't already thought it out fully before you start writing the views.
- Performance is highly dependent on queries used
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.
- 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.
- 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
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.
- Rich data connectivity and intelligent analysis to discover explicit and implicit relations between data in various sources.
- Intelligent and rich query optimization algorithms to minimize pressure on source systems and make use of the performance enhancements capabilities of the source systems.
- There is one version of the TDV- tool that holds all functionality. No additional licenses needed, everything is included.
- MPP-functionality (TDV 8.0.0) makes automatic query distribution over large (big data) clusters possible and guarantees very high performance with querying 100's of millions of rows.
- The TDV Studio application combines the use of ANSI-SQL (you can script for more complex tasks) with a graphical user interface for modeling the data layers, both supporting fast development of data and web services. TDV Server is a complete package with all the enterprise grade functionality an organization may need.
- We would love to see an upgrade of the general look-and-feel of the user interface.
Data cleansing features before virtualisation features would need to be added.
- For insurance companies, it is easy to link the client's bank account with the insurance company database
- Service Level Agreements such as product licenses can be linked with the companies employee databases
- Helpdesk Systems are easy to manage since one interface can provide information from multiple company databases that are related to a single account
- Sales and Marketing departments can make an assessment of their penetration level and environmental analysis
- Hospitals need Databases if the client has gone through multiple specialists and I think it'll be better if you add specialized platforms that are on centered for the health industry
- Businesses that are in partnership need to share resources and Accounting information e.g software development,
- Manufacturing industries to administer environmental climate changes in business analysis
- Scales out horizontally and vertically to support federated queries against growing data volumes
- Supports a wide range of data sources, including relational, no-SQL, message queues/streaming, and big data
- No very robust metadata and data lineage support
- Poor integration with data modeling tools, for forward- and reverse-engineering
- Response times are not always consistent and adequate in real-time queries
It is well suited in cases when there are many upstream heterogeneous sources, and the data sets are persisted in periodically refreshed cache, preferably database-based cache (although file-system or in-memory cache are options as well).
It is less appropriate for time-series analysis because the history is limited to the amount of history in he underlying source data repositories.
TIBCO Data Virtualization Scorecard Summary
What is TIBCO Data Virtualization?
According to the vendor, TIBCO® Data Virtualization’s differentiating out-of-the-box data sources supports the most demanding connectivity needs, providing nearly four times more data sources than any competitor.
TIBCO® Data Virtualization is deployed in companies in financial services, energy, pharmaceutical, manufacturing, healthcare, government, transportation, communications and technology, and more.
TIBCO Data Virtualization Screenshots
TIBCO Data Virtualization Videos (2)
Watch 2 Minute Explainer Video
Watch Product Demonstration
TIBCO Data Virtualization Downloadables
TIBCO Data Virtualization Integrations
TIBCO Data Virtualization Competitors
TIBCO Data Virtualization Pricing
- Does not have featureFree Trial Available?No
- Does not have featureFree or Freemium Version Available?No
- Has featurePremium Consulting/Integration Services Available?Yes
- Entry-level set up fee?No
TIBCO Data Virtualization Support Options
|Free Version||Paid Version|
|Video Tutorials / Webinar|
TIBCO Data Virtualization Technical Details
|Deployment Types:||On-premise, SaaS|
|Operating Systems:||Windows, Linux|