Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Save hours by developing and maintaining ETL/ELT pipelines using an easy-to use environment that allows for effortless debugging. Visualize changes before deployment to simplify development, accelerate testing, and reduce debugging. Work with Python and our simple interface to foster team collaboration and save valuable time during the most difficult development stages. Consolidate data in any format, from any source and any size with no hesitations. Ensure the most accurate data by utilizing error flagging and debugging in real-time within specific data processes as well as across pipelines. Use compute, storage and network bandwidth to auto-scale infrastructure as data volume and speed increase. Real-time data observability can help you identify and pinpoint problems. Zoom in and thoroughly troubleshoot your data pipelines.
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
No
API Access
Has API
No
Integrations
Aircall
No
Amazon
No
Amazon S3
No
Claude
No
Facebook Ads
No
Google Ads
No
Google Cloud BigQuery
No
Google Search Console
No
Instagram
No
Magento
No
Integrations
Aircall
Yes
Amazon
Yes
Amazon S3
Yes
Claude
Yes
Facebook Ads
Yes
Google Ads
Yes
Google Cloud BigQuery
Yes
Google Search Console
Yes
Instagram
Yes
Magento
Yes
Pricing Details
Free
Credit based pricing system
Free Trial
Yes
Free Version
Yes
Pricing Details
$1,999 per month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Datorios
Founded
2020
Country
United States
Website
datorios.com
Vendor Details
Company Name
Saras Analytics
Founded
2016
Country
United States
Website
www.sarasanalytics.com/saras-daton
Product Features
Data Extraction
Disparate Data Collection
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
Yes
Data Migration
Yes
Data Quality Control
No
Data Security
No
Information Governance
Yes
Master Data Management
No
Match & Merge
No
ETL
Data Analysis
No
Data Filtering
Yes
Data Quality Control
No
Job Scheduling
Yes
Match & Merge
Yes
Metadata Management
No
Non-Relational Transformations
Yes
Version Control
Yes
Integration
Dashboard
Yes
ETL - Extract / Transform / Load
Yes
Metadata Management
No
Multiple Data Sources
Yes
Web Services
No
Master Data Management
Data Governance
Yes
Data Masking
No
Data Source Integrations
Yes
Hierarchy Management
No
Match & Merge
No
Metadata Management
Yes
Multi-Domain
No
Process Management
Yes
Relationship Mapping
Yes
Visualization
No
Product Features
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No