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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Etleap was created on AWS to support Redshift, snowflake and S3/Glue data warehouses and data lakes. Their solution simplifies and automates ETL through fully-managed ETL as-a-service. Etleap's data wrangler allows users to control how data is transformed for analysis without having to write any code. Etleap monitors and maintains data pipes for availability and completeness. This eliminates the need for constant maintenance and centralizes data sourced from 50+ sources and silos into your database warehouse or data lake.

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

Salesforce Yes 
AWS IoT SiteWise Yes 
Adobe Marketo Engage Yes 
Airtable No 
Claude Code No 
Facebook Yes 
Google Analytics Yes 
HubSpot CRM No 
HubSpot Marketing Hub Yes 
Jira Yes 
Jira Work Management Yes 
Localytics Yes 
Mixpanel Yes 
Mode Yes 
NetSuite Yes 
Orchestra Yes 
Salesforce Marketing Cloud Account Engagement No 
Segment Yes 
Snowflake No 
Zendesk Yes 

Integrations

Salesforce Yes 
AWS IoT SiteWise No 
Adobe Marketo Engage No 
Airtable Yes 
Claude Code Yes 
Facebook No 
Google Analytics No 
HubSpot CRM Yes 
HubSpot Marketing Hub No 
Jira No 
Jira Work Management No 
Localytics No 
Mixpanel No 
Mode No 
NetSuite No 
Orchestra No 
Salesforce Marketing Cloud Account Engagement Yes 
Segment No 
Snowflake Yes 
Zendesk No 

Pricing Details

Because each company's ETL needs are different, Etleap's pricing is based on the number of sources types you want to integrate with, rather than data usage. We're committed to providing sophisticated, user-friendly ETL-as-a-service regardless of the size of your business.
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 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 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 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

Etleap

Country

United States

Website

etleap.com

Vendor Details

Company Name

Supaflow

Founded

2025

Country

United States

Website

www.supa-flow.io

Product Features

Big Data

Collaboration Yes 
Data Blends Yes 
Data Cleansing Yes 
Data Mining No 
Data Visualization No 
Data Warehousing Yes 
High Volume Processing Yes 
No-Code Sandbox Yes 
Predictive Analytics No 
Templates No 

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 

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