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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

As organizations increasingly rely on data for their operations, the integration of this data has emerged as a critical component in achieving successful digital transformation, emphasizing that such transformation cannot occur without the effective handling of data. To navigate this landscape, organizations face several challenges: eliminating information silos within their systems, ensuring agile and rapid processing of diverse and expanding data types—including structured, semi-structured, and unstructured data—managing high data loads, and enabling real-time data ingestion for timely decision-making. Furthermore, they must also keep a close watch on the costs associated with data infrastructure. In this scenario, Stambia offers a comprehensive solution that caters to various data processing needs, capable of being deployed both in the cloud and on-premises, while ensuring effective management and optimization of data ownership and transformation expenses, ultimately empowering organizations to thrive in a data-centric environment. This adaptable approach allows for the seamless integration of data across different platforms, enhancing the overall efficiency of digital operations.

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 
Vertica Yes 

Integrations

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

Pricing Details

$20,000 one-time fee
Free Trial Yes 
Free Version No 

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 Yes 
Mac Yes 
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) Yes 
Online Support No 

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 Yes 

Types of Training

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

Vendor Details

Company Name

Stambia

Founded

2009

Country

France

Website

www.stambia.com/en/product

Vendor Details

Company Name

Supaflow

Founded

2025

Country

United States

Website

www.supa-flow.io

Product Features

ETL

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

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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