Progress DataDirect vs. Vertify

Hybrid Data Pipeline lets users consume or share data in can timely and compliant manner regardless of the application they use or the location of the data. It has defined a stringent set of policies and practices around product development and distribution. Enables customers to consume their data in your application using their BI tool of choice.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

I would recommend it, as VertifyData exactly fit our use case. I can't speak for all use cases and all connectors - naturally - but the ones we are using and have explored so far, work perfectly well. Also, being a person myself that is not fluent in SQL or JSON or API language in general, I was still able to create all workflows our company needed myself. Which I consider a huge benefit.

• Providing JDBC connectivity to CRM applications
• Raw data integration
• Customer support

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Communication.
• Follow up.
• They're constantly trying to improve.

• Seamless data access for BI and Analytics.
• Helps you comply with industry standards.
• Cloud and On-premises Data Access with Hybrid Data Pipelines.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Automated error trouble-shooting is not always clear/helpful
• Clearly distinguishing internal errors vs. external errors
• Perhaps a blog where users can interact with questions + solutions

Creating a mapping between source and target while also using lookups and transformations is not trivial. And VertifyData solved this reasonably well, at least all users in my organization understood it pretty quickly.

It is not the easiest user interface to read/understand. However, once you understand how it works, then using it is not that bad. It's hard to remember what feature is listed under what tab (Manage vs. Define). A suggestion would be to get all call to actions on the same page

Easy to use with JDBC interface, detailed debug logs for troubleshooting, and easier audit with detailed log. Cost of ingestion is relatively cheaper

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Vertify offered more flexibility and was presented as a simple solution. In reality, it is more complex that we envisioned and we have never fully utilized our tools due to the lack of ability to configure things properly.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Create custom data access and security policies at a user level.
• Integrate HDP into your app seamlessly with management and administration API's.
• Hybrid Data Pipeline service can be deployed on multiple modes behind a load balancer.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Independently, teams are able to carry out their process with less communication and at a higher level of accuracy.
• VertifyData is actively taking into consideration, consulting, and supporting our plans to build out the business