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What is Supaflow?

Supaflow is a modern data pipeline platform designed to unify data ingestion, transformation, activation, and orchestration in a single system. It allows businesses to connect a wide range of data sources, including SaaS platforms, databases, APIs, and spreadsheets, to data warehouses like Snowflake. The platform supports automated data ingestion with features such as incremental syncing, schema drift detection, and checksum validation. Supaflow enables teams to transform data using dbt Core, ensuring business logic is tightly integrated with pipeline workflows. It provides powerful orchestration and scheduling tools, allowing users to automate workflows, pause or resume pipelines, and replay tasks when needed. With built-in observability, users gain real-time insights into pipeline performance, data lineage, and operational metrics. Supaflow’s activation capabilities allow curated data to be pushed back into business tools like CRMs and advertising platforms. The platform offers flexible deployment options, including running within a private VPC or directly on Snowflake infrastructure for maximum security. It uses asymmetric encryption to protect credentials and sensitive data end-to-end. Supaflow also features a CLI and an AI-powered Claude Code plugin, enabling automated pipeline creation and monitoring through natural language commands. Its usage-based pricing model eliminates per-row costs, making it cost-effective as data volumes grow. Overall, Supaflow provides a comprehensive, secure, and scalable solution for managing modern data pipelines efficiently.

What is Datorios?

Streamline your workflow by creating and managing ETL/ELT pipelines in a user-friendly environment that simplifies debugging processes. Prior to deployment, visualize changes to enhance development, speed up testing, and minimize errors during debugging. Leverage Python along with our intuitive interface to promote collaboration among team members, ultimately conserving precious time during challenging development phases. Integrate data from any format, source, or size without hesitation, ensuring ease of use. Achieve the highest level of data accuracy by employing real-time error flagging and debugging throughout specific processes and across entire pipelines. Automatically scale your infrastructure using compute, storage, and network resources as data volume and velocity increase, ensuring optimal performance. Additionally, real-time data observability enables you to detect and address issues effectively, allowing for a deep dive into your data pipelines for thorough troubleshooting and optimization. This comprehensive approach not only boosts efficiency but also enhances the overall quality of your data management efforts.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$0/month
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Supaflow

Date Founded

2025

Company Location

United States

Company Website

www.supa-flow.io

Company Facts

Organization Name

Datorios

Date Founded

2020

Company Location

United States

Company Website

datorios.com

Categories and Features

ETL

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

Categories and 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

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