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Filter 23 vetted TIBCO Data Virtualization reviews and ratings
Reviews (1-8 of 8)
January 16, 2020
The ability to integrate data from different sources into a single version is a big plus for Data Virtualization
TIBCO is being used by the analyst team in our organization. Currently, we have data in multiple sources. We are using TIBCO Data Virtualization to connect to all different data sources and queries against the different data sources. We didn't go with the traditional method of data warehousing, because we didn't want to duplicate the data, so we started using TIBCO Data Virtualization to avoid duplication.
- 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
May 01, 2019
Virtual reality in the data world
Allows integration of data sources of various types from different departments, so that it can be accessed without actual retrieval of data.
- Drag and drop feature.
- The large variety of data source adapters.
- Works with Spotfire for analytics.
- Cost.
- Sometimes not as easy to deploy as expected.
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
November 24, 2018
Let's go Virtual - with TIBCO Data Virtualization!
We have been involved with reselling and implementing TIBCO Data Virtualization since 2014, when it was still owned by Cisco. Since November 2017 we have been reselling and implementing TIBCO Data Virtualization under the new TIBCO partnership. Numerous organizations, all with challenges around data management and analytics (complex data engineering, replication of data getting out of control, compliance and regulations that cannot be met anymore and long time-to-market for Analytical solutions as data is not easy to find, integrate, enrich and use), selected TIBCO Data Virtualization to make any data available, in a secure, fast and flexible way, for analytics. While leveraging the existing data solutions like data warehouses, data lakes and data services. The virtual layers approach makes it very easy to make any data available in any form or structure that is needed. The API-interface makes it possible to integrate TIBCO Data Virtualization in an existing data architecture.
- 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.
December 22, 2018
TDV Usage review
It is used across the organization mainly to manage reporting security, where TDV is providing its best native functionality and ease of implementing
- Security
- Flexibility
- Access to multiple data sources
- SSO user identification and mapping
- enable logging at user/Query level
- Purging idle sessions functionality
September 07, 2018
Data virtualization
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.
- Group multiple data clusters together
- Have a common point of access for information
- Ease of system maintenance
- User friendliness
- Data cleansing features
- Collaboration
August 17, 2018
Data Virtualization/Federation Platform
It is used within several departments and supports several use cases. It's also used asa real-time federated query engine. Another operation - periodically refreshed cache, primarily database-based cache. It is also used for prototyping in ETL projects. It is also used for provisioning of data from systems of record, systems of origin and other authorized data sources to downstream applications and data marts.
- Scales out horizontally and vertically to support federated queries against growing data volumes
- Integrates well with BI/Reporting technologies like Tableau and MicroStrategy
- 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
December 07, 2017
Cisco Data Virtualization Review
It combines different data sources into a single virtual layer and multiple databases can be integrated into a single business customized application. It promotes easy data access and management and it helps in minimizing costs by not having items that you won't need.
- 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
TIBCO Data Virtualization Scorecard Summary
About TIBCO Data Virtualization
Categories: Data Integration, Data Virtualization
TIBCO Data Virtualization Competitors
Denodo, Redhat JBoss Data Virtualization, Dremio
TIBCO Data Virtualization Technical Details
| Operating Systems: | Unspecified |
|---|---|
| Mobile Application: | No |