D&B Connect vs. Hex.tech vs. IBM InfoSphere Information Server

Overall, the program can assist any size company with all credit
reference needs. We have not run into any issues other than the overall
cost of the program and the fact that you have to use additional funds
to seek information on international customers.

Incentivized

Hex.tech is an excellent tool for a product intelligence or product analytics team that wants to enable widespread use of available data for decision-making. It requires some SQL experience in many cases but makes it possible to go far without complex querying skills.

Incentivized

Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.

• Searching people who have the intent to buy your services or products.
• It has as very good filter that helps pinpoint your targeted audience.
• It has a large pool of contacts within the company, so helps to reach out to the right person via several connections.
• The data available is fresh and current.

Incentivized

• Powerful interactive notebook environment
• Balances the need of code and non-code users
• Provides free and easy sharing to viewers of analyses across the company
• Responds promptly to support requests and needs
• High quality native charting capabilities

Incentivized

• IIS best for ETL ,not ELT , and many and diffrent source systems.
• It also can process big data , unstuctured data
• It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems

Incentivized

• in my opinion having to split usage between United States and International does not make sense on why this needs to be done....recommend eliminating this
• need for improvement on error resolution....when an error is found the D&B resolution team is EXTREMELY difficult to work with...very clunky and automated when there is a need for personnal interaction

Incentivized

• Limited support for R notebooks
• Limited sharing outside of the app (e.g., no slack integration)
• Some Python knowledge needed for highest levels of aggregations

Incentivized

• I would be nice to have a new web development environment for DataStage.
• Connectivity Packs such as Pack for SAP Application are a little pricey.
• It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.

Incentivized

Great tool

Incentivized

• Scale of implementation
• IBM techsupport

Incentivized

For more advanced uses, it's hard to get it functioning properly right out of the box. It definitely takes some fiddling to get the systems up and running, especially if you have multiple streams of data that need to be managed across systems.

Incentivized

Great Support

Incentivized

Very Satisfied

Incentivized

Not at the top, but pretty good compared to others. The price and overall usability of the solution would put it in the top 5 options from what I have used. If D&B can make more updates and improvements, then there is potential to be better in the near future.

Incentivized

Hex.tech is the easiest to use, most enjoyable experience, most powerful environment, and most cost scalable of all the above.

Incentivized

DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS

slightly on the higher side but worth it.

Incentivized

• ROI can be achieved anywhere between 6 to 12 months depending upon your business.
• The product is expensive but the data provided is good to an extent and a big sale can help achieve your ROI.
• The data accuracy sometimes can be bad leading to bad domain reputation.

Incentivized

• Increased visibility into analyses with free membership tier across company
• Increased capacity for self-service analytics among R&D stakeholders (e.g., product managers)
• Improved productivity of data science team with ease of use

Incentivized

• Productivity of the development of integration processes.
• Better documentation and governance.
• Reduce training costs of various technologies.