Azure Data Catalog vs. IBM watsonx.data intelligence vs. TIBCO Data Virtualization

Azure Data Catalog helps us solve data discovery problems
brilliantly. Our organization created a single source of truth for our data,
which allowed us to develop BI and data science solutions. We can drag tables
or data sources to manage workflow. Some of the more complicated data normalization
or standardization issues need to be simplified, and I'd like to see that
happen.

Incentivized

The IBM Watson Knowledge Catalog is most well suited for large companies. With large companies storing data for a long amount of time, this can be helpful to allow all team members to find documents with ease. It would be less appropriate for storage that is deleted very often or does not needs to be saved for long amounts of time.

Incentivized

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.

Incentivized

• It's easy to use and implement.
• Ownership of the data.
• It's helpful for all businesses.
• Policy on data preservation.
• It can utilize various data sources.
• Data management is secure and simple.

Incentivized

• Data discovery.
• Technical Data Lineage.
• Business Data Lineage.
• Data .
• Multiple Data Catalog Management.
• Creation of Governance Rules.
• Data Masking.

Incentivized

• Connecting to different data silos and presenting the data as a singled unified layer of data.
• Exposing data to Technical and non technical users through Web UI or reporting tools
• Secured exposure of data as web services.
• Row level and column level data security
• Multi tenancy data security.
• Real time data by connecting to the operational databases
• Historical data generation

Incentivized

• Maintenance and creation of documentation for data sources takes a lot of time
• One cannot connect to data using a client's app unless they know the locus of the data source.

Incentivized

• I think an industry-specific data catalog service will be good.
• Effective alignment of IBM consulting services and bringing in an Industry point of view will be great.
• Effective reach out like roadshows, etc. will be good.

Incentivized

• Performance of TDV Studio (its own IDE) is poor.
• Performance of TDV repository database is rather poor for larger numbers of objects .(Note: We have approx. 9tsd objects introspected in TDV and approx. 20tsd objects generated in upper DV layers.)
• Propagation of privileges to parent/child dependencies does not work when applying recursively on a folder. (It's a huge setback when working with large number of objects organized semantically into subfolders.)
• Lack of command line client interface for scripting at the time of version 8.4 (I had to write my own CLI.)
• TDV Studio does an absolutely horrible job with its own code editors when indentation is in place. Also, the editor is brutally slow and feature-poor.
• Tracking privileges on the level of table/view columns causes occasional problems when regranting.
• TDV's stored programs ("SQL scripts" in their own terminology) compiler leaves out many syntactic and semantic checks, making them hugely prone to run-time errors.
• TDV Server's REST API is a very poor (in terms of features) and flawed cousin to its SOAP API (at the time of version 8.4).

Incentivized

It is useful for us to see the data and do analysis. Also we use it to generate reports and see trends or gather insights

Incentivized

It is very easy to use and very intuitive Es muy sencilla de utilizar y muy intuitiva

Incentivized

TDV's interface is a bit dated and not entirely intuitive. Would recommend some UX design review as the interface leaves a bit to be better understood to be used by users without inherent knowledge of Tibco. Overall I'd suggest more improvement here to ensure usability by a lesser tech audience.

Incentivized

We have never encountered issues where it was unavailable when we needed it.

Incentivized

This product's performance is very consistent. It is extremely rare for templates to fail. I've been using this software for 5 years and find it to be both simple and powerful. The impact within the company has been very positive as different processes in different areas, such as data analysis, development, and integrations, have been improved, and, best of all, it has not affected the users. Various systems with which it is connected in order to obtain information.

Incentivized

On a few occasions I have asked TIBCO technical support for help because I have adapted perfectly to their tools, but in those few that I have communicated with their technical team I have received personalized, attentive, responsible attention and I am always assisted by an expert staff the topic. A TIBCO technical support technician spent more than an hour helping me to solve a problem in the initial stage of implementation in my department and this is something that I always appreciate.

Incentivized

The training was helpful. I was able to understand how to use TIBCO for the data load process that we implemented and how to perform various troubleshooting steps based on the training I received. The technician was thorough and took the time to answer any questions. Once we were shown how to use TIBCO in the test environment, we were able to configure the production environment ourselves.

Incentivized

Other vendors have clearer, more visual implementation documentation. We also did not have our data architect and and server administrator available full-time for implementation. In the future, we will secure the necessary internal resources.

Incentivized

Azure Data Catalogue was chosen for

• Microsoft's customer service and expertise
• Experience with Azure Cloud Solutions
• Reviews from peers on functionality and performance
• Product roadmap
• Overall costs

Incentivized

The IBM Watson Knowledge Catalog is a great amount of storage for the price. It is easily accessed by all users in the company. It provides great search features and clear pathways to locate documents. This is great for the team and our client when needing access to a specific document.

Incentivized

We did not need to evaluate another technology in the same category for data virtualization, since we are 100% sure of the capabilities and benefits that we would have with TIBCO Data Virtualization, both for market positioning as well as success stories from other companies. great renown worldwide. From the first day of use, it meets our needs to provide the expected solutions.

Incentivized

Good scaling

Incentivized

• Azure platform makes it easier for us to register & catalogue all available information easily. This way when the customer actually made a sudden request or they want to access sensitive information on their own, the data is readily presented to them. Needless to say we use this mined and catalogue data for a variety of inhouse training and other improvement initiatives.

Incentivized

• The negative note: is that it needs to have a very secure cloud infrastructure and with its data well defined for integration with other databases.
• The positive point: allows for quick data discoveries aiding a quick implementation of privacy programs.

Incentivized

• We took spreadsheets that took hours a month to update and made them update automatically using TDV, saving hours a month of analyst time
• The incremental cost of TDV relative to straight spotfire licensing made it a no-brainer due to the ease of data management
• We continue to automate legacy business processes in TDV, saving time all over the organization.

Incentivized