Dataloader.io vs. Progress DataDirect

Dataloader is an incredible asset for a large organization or an organization that has a robust Salesforce environment. Specifically, Dataloader has allowed our sales team to focus on driving sales while our operations team can load the data they need in a manner that allows for robust reporting and tracking on our sales process. Organizations with less robust Salesforce environments or Salesforce environments in which many people are expected to maintain their own information likely do not need Dataloader.

Incentivized

Data ingestion and connectivity to CRM applications made easy by Progress data direct JDBC interface. The interface integrates well with Spark and AWS Glue etc. May not be a great fit for ingestion of very large objects from systems like Salesforce.

Incentivized

• The selection of objects is much better and more extensive than the Salesforce built in data loader.
• Cross referencing of fields for record IDs is easy to use. I can work through this so much more quickly than using the built in Salesforce data loader.
• Success and error files are easy to identify what needs to be fixed (errors) and identification of records created (successes), so you can quickly do spot checks in your Salesforce org after doing a data load.
• The number of rows per month for a basic package, 100,000, is great for our business.

Incentivized

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

Incentivized

• At the moment, I can't find a way to rename jobs. This would be useful to organize what was previously created hastily by techs in a rush.
• A preview of the job, especially upserts, would take a great deal of stress away from some of us (especially those who are not so confident in their ETL practice).
• A native vlookup equivalent may be a welcome addition.

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

Incentivized

It is easy to use and doesn't require a security token, so I enjoy using it. It also doesn't require any download or installation, which is sometimes a blocker to gettingthings done if the company has limits. also, the dataloader.io is easy for other people to pick up, so others can have visibility into the data jobs that have occurred

It is an intuitive application to use. Within a few clicks, you can be signed in to your org and ready to perform tasks. Data imports/exports/updates are streamlined so you can quickly start and configure your jobs. These can run in the background while you set up new tasks. Job history and tasks currently running on are on your home screen.

Incentivized

Dataloader is made for updating, inserting, and deleting of contacts. For these operations this tool is excellent.

Incentivized

Customer support might be where Dataloader.io saves money. Most of the competitors offer 24/7 live support but Dataloader.io only offers support via email and the community. Those types of support work fine until you need an answer right away. Some questions can't wait until the next business day or business hours for a reply.

Incentivized

The UI of Dataloader.IO is far more advanced, user-friendly, and current, than any of the options above. The ability to several tasks (Imports/Exports) at one time. Cloud-based with very easy access to current Imports or Exports, as well previous versions that had previously been run. You can see Imports or Exports across all time, even if you change filter criteria.

Incentivized

Ended hybrid Data Pipeline info your app, white label it and ship it to your customers to give them the very best cloud connectivity. Has an encryption algorithm that can be made compliant using the FIPS Compliance mode. Get real-time connectivity to popular data sources such as Salesforce, Google Analytics, and Oracle.

Incentivized

• HUGE time saving. When we need to clean or review data, we used to have to do it line by line. This can do the work within excel and make cleanup/management an afternoons work as opposed to a week.
• Rollback what you did/change/deleted is relatively simple if you remember to back up the data you are manipulating.

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