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Description
Forms Data Loader is a widely-used tool designed for loading data into Oracle Applications, specifically the E-Business Suite 11i and R12, via front-end forms. This tool offers a user-friendly and economical solution for importing both test and legacy data into Oracle systems. While it is primarily intended for Oracle, it is adaptable enough to facilitate data loading for any application operating on a Windows platform. Its ease of use means that no specialized technical expertise is needed, allowing even non-technical users to load data seamlessly through the front-end interface.
Some of its notable features include:
It loads data directly into front-end forms, eliminating the need for a direct database connection.
Non-technical users can operate it without needing specialized training, as data entry is performed through forms.
It significantly reduces time consumption, allowing users to prepare a load once and replicate it as frequently as required.
The process remains completely transparent to the application, ensuring that it behaves as if the data were entered manually by a user, which enhances user experience and maintains system integrity. With this efficient tool, organizations can streamline their data loading processes effectively.
Description
Saras Daton is a specialized ETL/ELT platform designed for omnichannel and ecommerce enterprises, allowing teams to consolidate data from various fragmented sources into centralized cloud data warehouses. With over 200 pre-built connectors—some tailored for long-tail ecommerce platforms—it facilitates custom transformations that accommodate order histories, inventory updates, marketing performance metrics, and other intricate requirements of commerce. The platform efficiently manages incremental extraction, schema mapping, historical data loads, and routine incremental updates, providing both batch and real-time processing capabilities. It incorporates parallel processing to handle large volumes of data, alongside checkpoints and retries to ensure the reliability of data pipelines. Users can take advantage of table-level scheduling features for multi-speed pipelines, while CRON scheduling allows for tailored replication frequencies, enabling supported sources to achieve replication intervals as short as 15 minutes. Furthermore, granular loading and schema management provide users the ability to oversee data at both the table and column levels, utilizing methods such as append, upsert, or truncate-and-load to optimize their data ingestion processes. This comprehensive approach ensures that ecommerce businesses can handle their data needs effectively and efficiently.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Aircall
Amazon
Amazon Ads
Amazon DSP
Claude
Facebook Ads
Google Ads
Google Cloud BigQuery
Magento
Meta AI
Integrations
Aircall
Amazon
Amazon Ads
Amazon DSP
Claude
Facebook Ads
Google Ads
Google Cloud BigQuery
Magento
Meta AI
Pricing Details
$299
Free Trial
Free Version
Pricing Details
$1,999 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Interface Computers
Founded
2005
Country
India
Website
www.formsdataloader.com
Vendor Details
Company Name
Saras Analytics
Founded
2016
Country
United States
Website
www.sarasanalytics.com/saras-daton
Product Features
Data Entry
Abbreviation Detection
Data Capture and Transfer
Data Cleansing
Data Entry Verification
Data Search Flexibility
Duplicate Detection
Flexible Search
Image Entry
Library Conversion
Mis-Keyed Variation Detection
Phonetic Variation Detection
Product Features
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control