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What is dataloader.io?

Leverage the premier data loader for Salesforce to seamlessly and safely handle unlimited data transactions, including imports, exports, and deletions, for your organization. Our user-friendly, fully cloud-based platform allows for immediate accessibility; simply log into dataloader.io with your existing Salesforce credentials, removing the necessity for software downloads. Thanks to the integration of oAuth 2.0, you can initiate your operations without compromising security. Enhance your efficiency with features such as auto-mapping, keyboard shortcuts, and search filters that simplify the process of mapping data from your source files to Salesforce fields. You can effortlessly export related objects in one go, which saves you from the cumbersome task of collecting and rearranging multiple datasets in Excel. Importing and exporting data from various repositories, including Box, Dropbox, FTP, and SFTP, is a breeze. Moreover, you can schedule your import and export tasks to run automatically on a set hourly, daily, weekly, or monthly basis. Powered by the robust capabilities of MuleSoft's Anypoint Platform, dataloader.io guarantees a smooth experience for all your data management tasks. This impactful tool is crafted to enhance your workflow while ensuring top-notch security and efficiency, making it an invaluable asset for your organization. With its comprehensive features and user-friendly interface, dataloader.io truly transforms the way you manage your data.

What is Salesforce Data Loader?

Data Loader is a client application specifically created to streamline the bulk management of data within Salesforce, empowering users to efficiently import or export records. It simplifies various operations such as inserting, updating, deleting, and exporting data with ease. When it comes to importing data, Data Loader can read and extract details from CSV files or connect directly to a database for loading required information. In contrast, during data exports, it produces output in CSV format. The application features a user-friendly interface that allows for interactive configuration, enabling users to set parameters, choose the appropriate CSV files for import or export, and define field mappings to ensure that field names from the import files correspond correctly with those in Salesforce. The drag-and-drop functionality for field mapping enhances its usability, providing a seamless experience. Moreover, Data Loader is capable of supporting all object types, including custom objects, which makes it a highly adaptable tool for effective data management. Its comprehensive features ensure that users can handle their data needs with flexibility and precision.

Media

Media

Integrations Supported

Salesforce
MuleSoft Anypoint Platform
Salesforce Data Cloud
Thru

Integrations Supported

Salesforce
MuleSoft Anypoint Platform
Salesforce Data Cloud
Thru

API Availability

Has API

API Availability

Has API

Pricing Information

$99/month/user
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MuleSoft

Date Founded

2006

Company Location

United States

Company Website

dataloader.io

Company Facts

Organization Name

Salesforce

Date Founded

1999

Company Location

United States

Company Website

developer.salesforce.com/docs/atlas.en-us.dataLoader.meta/dataLoader/data_loader.htm

Categories and Features

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Categories and Features

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