Cloudingo vs Dataloader.io

• The automation engine is extremely powerful. I have over 500 fields on some objects and I want to do different things with that data depending on what the master record is. I was able to configure Cloudingo do all this. i.e. set it and forget it and I just get an emailed report.
• Visualization of the problem areas is completely unique. Cloudingo has a dashboard concept with tiles and those tiles represent ways of looking at the data and potential duplicate records.
• Innovate - every suggestion I've given them they have implemented and then some. Cloudingo really pushes the pace and I am always thankful when new releases come out because they put in cool stuff that I would have never thought of.

Read full review

• Extracting Salesforce attachments in original file format! I do not know of a tool that can do this better, or more efficiently! This is a huge benefit to companies that would like to extract attachments from Salesforce for tasks like data migrations.
• Cross-object data extract within one file. You can pull data from related objects as long as there is a populated lookup from the object you are extracting, to another object (Child or Parent).
• UI is simple and requires very little to no training. Given the acquisition of Mulesoft by Salesforce, I would not be surprised if DataLoader.IO is rolled out as the new global data loading tool for Salesforce.

Read full review

• I wish there were a few more merge operators. You can set merge rules based on "equals", "oldest date", etc., but there is no "contains" operator.
• Hard to use. The platform is just very complex. Not sure how you'd get around this though since this type of mass action is very involved.
• The price difference between the standard package and the pro package is a very big jump. But it has to be since the pro uses a REST API.

Read full review

• Update option is being rarely used, unsure about the difference between upsert and update.
• Always get errors when setting the batch API as a large number.
• Sometimes I get loading errors when the number of records that need to be loaded is large.

Read full review

• Neglected and not used due to destructive automation
• Fear of cleaning up data
• Not wanting a human to do proper cleansing

Read full review

• 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.

Read full review