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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

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 

Screenshots View All

Screenshots View All

Integrations

Airtable No 
Claude Code No 
HubSpot CRM No 
Salesforce No 
Salesforce Marketing Cloud Account Engagement No 
Snowflake No 

Integrations

Airtable Yes 
Claude Code Yes 
HubSpot CRM Yes 
Salesforce Yes 
Salesforce Marketing Cloud Account Engagement Yes 
Snowflake Yes 

Pricing Details

Free
Credit based pricing system
Free Trial Yes 
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) No 
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) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Datorios

Founded

2020

Country

United States

Website

datorios.com

Vendor Details

Company Name

Supaflow

Founded

2025

Country

United States

Website

www.supa-flow.io

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

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