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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Aircall
Amazon Ads
Amazon DSP
Amazon Redshift
Amazon S3
Google Cloud BigQuery
Loop
Magento
Meta AI
Microsoft Outlook
Mixpanel
MySQL
NetSuite
Oracle Cloud Infrastructure
Shopify
Skio
Slack
Snowflake
Stripe
TikTok

Integrations

Aircall
Amazon Ads
Amazon DSP
Amazon Redshift
Amazon S3
Google Cloud BigQuery
Loop
Magento
Meta AI
Microsoft Outlook
Mixpanel
MySQL
NetSuite
Oracle Cloud Infrastructure
Shopify
Skio
Slack
Snowflake
Stripe
TikTok

Pricing Details

Free
Credit based pricing system
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

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
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

Product Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Alternatives

Alternatives

No Alternatives
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