CloverDX vs. Progress DataDirect

CloverDX designer as a standalone is well suited for fairly straightforward transformations of data. If you want to do large scale data integrations, then their server edition adds an extra level of automation and job control.

Incentivized

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

• Connects with Salesforce very well
• The graphical view of the transformations allows for easy creations and maintenance
• Support has always been eager to assist with any graph creation difficulties I run into

Incentivized

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

Incentivized

• The initial learning curve is a little steep. Not very steep or super steep, just a little steep.
• Having enough memory for large multi-step problems can be an issue if the graph isn't designed well.

Incentivized

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

Incentivized

While CloverDX has an active forum for users to submit questions and assist with answers, their in house support team is incredibly responsive when I've contacted them for assistance. This seems almost at odds with most other software companies who try to save money on tech support by promoting a forum or knowledge base.

Incentivized

CloverDX was a less expensive alternative to Talend and had a more intuitive interface from what I could see during the evaluation.

Incentivized

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

Incentivized

• Work that use to take multiple people 20 to 30 hours a week to complete each has now been fully automated to where only 1 or 2 hours a week for maintenance is required.

Incentivized

• 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