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features
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support

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Description

Consolidate information from over 100 sources to empower your team to provide enhanced insights swiftly. Integrate data from any data warehouse into the business tools preferred by your teams. Optimize your data operations efficiently through a singular platform uniquely designed to fulfill all the needs of your data teams, potentially reducing your expenses by as much as 75%. If you're looking to avoid the complexities of managing a data warehouse, our platform is the sole solution that provides an integrated managed data warehouse tailored to address all your data management requirements. Choose from an expanding collection of more than 100 fully managed connectors and over 20 destinations, including SaaS applications, databases, data warehouses, and beyond. Enjoy complete and secure control over the specific data you wish to transfer, while scheduling and transforming your data for analytics effortlessly, ensuring it remains in sync with your operational pipelines. Our platform not only simplifies data management but also enhances collaboration across teams, making it a valuable asset for any organization.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Facebook Yes 
Google Analytics Yes 
Salesforce Yes 
Zendesk Yes 
Azure Blob Storage Yes 
Bing Yes 
Criteo Yes 
Freshsales Yes 
Google Ad Manager Yes 
Google Ads Yes 
Google Play Yes 
Google Sheets Yes 
Jira No 
LeadSquared Yes 
Localytics No 
Mixpanel No 
MoEngage Yes 
NetSuite No 
Reddit Ads Yes 
Revcontent Yes 

Integrations

Facebook Yes 
Google Analytics Yes 
Salesforce Yes 
Zendesk Yes 
Azure Blob Storage No 
Bing No 
Criteo No 
Freshsales No 
Google Ad Manager No 
Google Ads No 
Google Play No 
Google Sheets No 
Jira Yes 
LeadSquared No 
Localytics Yes 
Mixpanel Yes 
MoEngage No 
NetSuite Yes 
Reddit Ads No 
Revcontent No 

Pricing Details

$250 per month
Free Trial Yes 
Free Version Yes 

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 

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 No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

DataChannel

Founded

2020

Country

India

Website

www.datachannel.co

Vendor Details

Company Name

Etleap

Country

United States

Website

etleap.com

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge 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

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 

Alternatives

Alternatives

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