Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
At Saras, we are dedicated to democratizing analytics and data science for all businesses, particularly small and medium-sized enterprises. Our solutions eliminate the need for extensive engineering resources and significantly reduce the time required to aggregate and store essential data from marketing, analytics, eCommerce, and other crucial business functions. Enjoy seamless eCommerce reporting and actionable insights delivered directly to you, all without needing to write any code, and set it up in just five minutes! We address the final mile data hurdles by providing top-notch business intelligence, ETL development, and analytical services. Saras Analytics is a versatile partner throughout every phase of the data life cycle, offering ready-made reports and dashboards built on data collected by Daton, crafted in collaboration with leading growth experts from rapidly expanding startups. Challenges such as report creation, custom ETL solutions, and sourcing analysts for data analysis can hinder your progress, but with us, you can overcome these obstacles and regain your momentum. Our commitment is to empower your business with the insights and tools it needs to thrive in a data-driven world.
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
Amazon
No
Amazon DSP
No
Amazon Redshift
No
Claude
No
Google Ads
No
Google Search Console
No
Klaviyo
No
Loop
No
Magento
No
Mailchimp
No
Integrations
Amazon
Yes
Amazon DSP
Yes
Amazon Redshift
Yes
Claude
Yes
Google Ads
Yes
Google Search Console
Yes
Klaviyo
Yes
Loop
Yes
Magento
Yes
Mailchimp
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
Yes
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
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Saras Analytics
Founded
2016
Country
India
Website
sarasanalytics.com
Vendor Details
Company Name
Saras Analytics
Founded
2016
Country
United States
Website
www.sarasanalytics.com/saras-daton
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
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
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