Likelihood to Recommend 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.
Read full review Excellent Cloud data mapping tool and easy creating multiple project data analytics in real-time and the report distribution are excellent via this IBM product. Easy tool to provide data visualization and the integration is effective and helpful to migrating huge amounts of data across other platforms and different websites insights gathering.
Read full review Pros 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 Data movement Seamless integration of scripts and etl jobs Descriptive logging Ability to work with myriad of data assets Direct integration for Governance catalog Read full review Cons 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. Read full review Connector Stages to Snowflake on the cloud. We had some issues initially but since then had been corrected. Accessing tool from a browser (zero foot-print). Currently we need to either install locally or connect to a server to do ETL work. Diversify ways of authenticating users. Read full review Likelihood to Renew 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
Read full review Usability 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.
Read full review Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.
Read full review Performance Dataloader is made for updating, inserting, and deleting of contacts. For these operations this tool is excellent.
Read full review It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.
Read full review Support Rating 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.
Read full review I believe that IBM generally has one of the worst and most complex assistance systems (physical and online) that exists.
Read full review Alternatives Considered 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 dealt with.
Read full review It's obvious since they both are from the same vendors and it makes it easier and can get better rates for licensing. Also, sales rapes are very helpful in case of escalations and critical issues.
Read full review Return on Investment 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 Reduce development time by 65% compared with hand coding. Reduces ETL process maintenance times. Better data governance for technical and non-technical people. Improve time to market for initiatives that require data integration. Read full review ScreenShots