Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Supaflow is an all-in-one data pipeline platform that enables businesses to ingest, transform, and activate data from multiple sources in a unified environment. It connects SaaS applications, databases, APIs, and files to data warehouses like Snowflake with minimal setup. The platform supports both historical and incremental data syncing, along with schema drift detection and validation features. Supaflow integrates orchestration, scheduling, and monitoring, allowing teams to manage workflows efficiently from a single interface. It provides observability tools such as real-time run status, alerts, and data lineage tracking for complete transparency. With secure deployment options, businesses can run Supaflow within their VPC or Snowflake infrastructure, ensuring data privacy and control. The platform also supports dbt Core transformations, enabling teams to manage business logic alongside pipelines. Its activation features allow users to push curated data back into CRM and marketing tools with built-in safeguards. Supaflow offers a CLI and Claude Code plugin, enabling AI-driven pipeline creation and management. Overall, it delivers a scalable, secure, and cost-efficient solution for modern data engineering needs.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Snowflake
Yes
Amazon Ads
Yes
Amazon DSP
Yes
Amazon Redshift
Yes
Claude Code
No
Etsy
Yes
Facebook Ads
Yes
Google Cloud BigQuery
Yes
Google Search Console
Yes
Magento
Yes
Integrations
Snowflake
Yes
Amazon Ads
No
Amazon DSP
No
Amazon Redshift
No
Claude Code
Yes
Etsy
No
Facebook Ads
No
Google Cloud BigQuery
No
Google Search Console
No
Magento
No
Pricing Details
$1,999 per month
Free Trial
No
Free Version
Yes
Pricing Details
$0/month
Free Trial
Yes
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)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Saras Analytics
Founded
2016
Country
United States
Website
www.sarasanalytics.com/saras-daton
Vendor Details
Company Name
Supaflow
Founded
2025
Country
United States
Website
www.supa-flow.io
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
Product Features
ETL
Data Analysis
No
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
Yes
Match & Merge
Yes
Metadata Management
Yes
Non-Relational Transformations
Yes
Version Control
Yes