Dataloader.io Reviews

Our primary use case for DataLoader is uploading data efficiently to our systems. We use it mainly for scheduling loads using the server's functionality, and although it's automated, we had to do a lot of coding around it to handle errors.

I find DataLoader's ability to easily integrate with external keys valuable, which is a bit more challenging with DBM. It provides automation for scheduling data loads, and we use the server's functionality for this. 

Additionally, DataLoader is cost-effective since it is free. As long as I have stable network access, uploading and downloading data is straightforward.

DataLoader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than DataLoader.

We have been using Dataloader.io for a longer period, whereas we've had DBM for about six months or less.

DataLoader is a simple tool that doesn't often experience stability issues. As long as there is stable network access, it works effectively.

Initial setup was fairly straightforward due to the comprehensive documentation. It's not a complicated tool, so setup is manageable.

Dataloader.io is cost-effective, particularly since it is free.

For small to mid-range businesses, DataLoader is perfectly fine, offering everything needed for uploading. 

On a scale of one to ten, I would rate DataLoader a seven or eight depending on specific needs.

The product’s most valuable feature is ease of access. It allows any CSV files to import data and load it into Salesforce. There is an automatic mapping feature for transformation requirements. It requires minimum time to train any executive to use the tool. They need to watch some live demos, and they can start working and delivering outputs.

We need help with large data migrations. It only works well for a few thousand records or less than a million records. Above that, we need to look for alternative solutions. They could provide automated transformation or mapping features around 10 to 15 independent data objects. We could have a default mark or limit of free usage for standard objects. It will be helpful. Additionally, we can have more integrations with large data volumes as we need a lot of exercises to handle the files in case of complex sites.

We have been using Dataloader.io for more than nine years.

The platform works stable for small and mid-sized projects. However, it provides low stability for large data migrations. I rate the product’s stability an eight out of ten.

I rate the product’s scalability a seven out of ten.

We never needed any support services. The online documentation is sufficient to help us know how to use the tool. Thus, we never ran into a situation where we needed to reach their support team. Everything is crystal clear.

I am using many products, including CData DNB and CData Sync. I have used Dell Boomi, MuleSoft, etc. We need to connect to different source systems for different use cases. Thus, we go for other alternatives as well.

The initial setup is easy. It can be deployed on-premises and on-cloud. The deployment time depends upon the project's complexity, including the number of files to be uploaded and the number of errors we encounter. It approximately takes less than an hour to learn and deploy it.

The product is inexpensive and economical.

We work with products like CData DNB, CData Sync, Informatica Cloud, etc. We decided to use Dataloader.io as it suits well while working with small and mid-sized companies.

I rate Dataloader.io an eight out of ten.