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What is Etleap?
Etleap was developed on AWS to facilitate the integration of data warehouses and lakes like Redshift, Snowflake, and S3/Glue. Their offering streamlines and automates the ETL process through a fully-managed service. With Etleap's intuitive data wrangler, users can manage data transformations for analysis without any coding required. Additionally, Etleap keeps a close eye on data pipelines to ensure their availability and integrity. This proactive management reduces the need for ongoing maintenance and consolidates data from over 50 distinct sources into a unified database warehouse or data lake. Ultimately, Etleap enhances data accessibility and usability for businesses aiming to leverage their data effectively.
Integrations Supported
AWS IoT SiteWise
Facebook
Google Analytics
HubSpot Marketing Hub
Jira
Jira Work Management
Localytics
Marketo
Microsoft 365
Microsoft Azure
Integrations Supported
AWS IoT SiteWise
Facebook
Google Analytics
HubSpot Marketing Hub
Jira
Jira Work Management
Localytics
Marketo
Microsoft 365
Microsoft Azure
API Availability
Has API
API Availability
Has API
Pricing Information
$0.75 per 1K objects extracted
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
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
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/products/graph-data-connect/
Company Facts
Organization Name
Etleap
Company Location
United States
Company Website
etleap.com
Categories and Features
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control