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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Data serves as the fundamental asset for all digital transformation efforts. Numerous initiatives encounter obstacles due to the misconception that data quality and availability are guaranteed. Yet, the stark truth is that obtaining relevant data often proves to be challenging, costly, and disruptive. The Datumize Data Collector (DDC) functions as a versatile and lightweight middleware designed to extract data from intricate, frequently transient, and legacy data sources. This type of data often remains largely untapped since accessible methods for retrieval are lacking. By enabling organizations to gather data from various sources, DDC also facilitates extensive edge computing capabilities, which can incorporate third-party applications, such as AI models, while seamlessly integrating the output into preferred formats and storage solutions. Ultimately, DDC presents a practical approach for businesses looking to streamline their digital transformation efforts by efficiently collecting essential operational and business data. Its ability to bridge the gap between complex data environments and actionable insights makes it an invaluable tool in today's data-driven landscape.

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

No price information available.
Free Trial No 
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) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Datumize

Founded

2014

Country

Spain

Website

www.datumize.com

Vendor Details

Company Name

Supaflow

Founded

2025

Country

United States

Website

www.supa-flow.io

Product Features

Data Discovery

Contextual Search No 
Data Classification Yes 
Data Matching Yes 
False Positives Reduction No 
Self Service Data Preparation No 
Sensitive Data Identification Yes 
Visual Analytics No 

Data Extraction

Disparate Data Collection Yes 
Document Extraction Yes 
Email Address Extraction Yes 
IP Address Extraction Yes 
Image Extraction Yes 
Phone Number Extraction Yes 
Pricing Extraction Yes 
Web Data Extraction Yes 

ETL

Data Analysis No 
Data Filtering Yes 
Data Quality Control Yes 
Job Scheduling Yes 
Match & Merge Yes 
Metadata Management No 
Non-Relational Transformations Yes 
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 

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