I use the in-app offering, don't the name of it and I don't use it because it limits me to a thousand records and I'm in a team of one, there's no shot. I'm only dealing with a thousand records.
I have used salesforce inspector also for operations like import and export of data from custom objects but it doesn't work well when you have data in huge numbers. Instead of using Salesforce Inspector, one should go for Dataloader.io if the number of records is huge to be …
Salesforce is attached to Dataloader.io and is easy to access through Salesforce. They also have a robust free version that most smaller businesses will find perfectly acceptable. I have only find some situations in which I needed the more expensive version. It is less helpful …
I use Dataloader.io and the Data Loader app interchangeably. They are virtually the same thing. I've used the app more over the years but have slowly started using Dataloader.io on a daily basis. The UI and UX are a welcome change, and if I want to schedule a data load, I will …
We have both Dataloader & Dataloader.io, one for experts and the other from newcomers, or people who are not familiar with Salesforce & data import. Furthermore, Field Matching is really useful to avoid duplicates.
Salesforce has a utility that can be installed locally on your system for data loading as well. It has a similar UI but I find that query building and tracking tasks completed with the tool are lacking. Dataloader shares history and is more intuitive for helping build queries …
We looked at several products before trying Dataloader.io. Xplenty was great but it was more expensive. The same was true for Workato. We also looked at Snowplow. Workato was really impressive and had great support but required a hefty downpayment. Xplenty had a great UI but …
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 …
Dataloader.io is superior to the build in Salesforce data loader. There have been several occasions, particularly on leads, contacts and account records, where I get can error in salesforce data loader, but am able to to successfully, and accurately load the same file through …
Jitterbit had more features and options, but was also more complicated to use. Salesforce's Data Loader is pretty basic, but there are no limits. We utilize Salesforce's Data Loader for most of our jobs involved a quick import of data, or large amounts of data. Dataloader.io is …
Dataloader.io was already in place when I started my consulting work for the client so I was not part of the evaluation process. Regardless, I don't think that there would be a more optimal solution for my client than the one the chose.
DemandTools also provides the ability to batch import or update records within our CRM system. We use both products, but Dataloader is slightly more user-friendly.
I was researching for primary tools to update and migrate records. It came down to Excel Connector, Salesforce's dataloader, Salesforce's core functionality itself, or Dataloader.io. Dataloader.io ended up being my last option to test, and it would have been nice if it was my …
Replacing data. If we've put something in a category or a bucket that is no longer named that anymore because we've evolved with the times and we want to rebrand everything, it makes it way easier to do a quick import with the new terms.
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.
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.
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
Dataloader definitely skews towards a more technical userbase. Users should be adept at manipulating data in spreadsheets and decipher JSON formatted error messaging. Additionally, there is a good amount of time need to set up the environment to map to the pertinent fields we are trying to adjust. While I would not recommend the typical account manager to use Dataloader, a typical operations manager should have no issue.
The utility itself is very self-explanatory and has enough information to guide you through the process. It has an intuitive experience for those familiar with data loading/exporting utilities. Outside of this, they have a Zendesk help center to log support requests and provide documentation to help guide you troubleshoot any issues that may be occurring.
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.
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.