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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

AWS Glue is a fully managed data integration solution that simplifies the process of discovering, preparing, and merging data for purposes such as analytics, machine learning, and application development. By offering all the necessary tools for data integration, AWS Glue enables users to begin analyzing their data and leveraging it for insights within minutes rather than taking months. The concept of data integration encompasses various activities like identifying and extracting data from multiple sources, enhancing, cleaning, normalizing, and consolidating that data, as well as organizing and loading it into databases, data warehouses, and data lakes. Different users, each utilizing various tools, often manage these tasks. Operating within a serverless environment, AWS Glue eliminates the need for infrastructure management, automatically provisioning, configuring, and scaling the resources essential for executing data integration jobs. This efficiency allows organizations to focus more on data-driven decision-making without the overhead of manual resource management.

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

Orchestra Yes 
AWS App Mesh Yes 
AWS Step Functions Yes 
Acryl Data Yes 
Amazon DataZone Yes 
Amazon S3 Express One Zone Yes 
Amazon SageMaker Feature Store Yes 
Amazon SageMaker Unified Studio Yes 
Causal Yes 
DataHub Yes 
Facebook No 
FairCom DB Yes 
FairCom EDGE Yes 
Feroot Yes 
Localytics No 
NetSuite No 
SDF Yes 
Saagie Yes 
Unity Catalog Yes 
Wavo Yes 

Integrations

Orchestra Yes 
AWS App Mesh No 
AWS Step Functions No 
Acryl Data No 
Amazon DataZone No 
Amazon S3 Express One Zone No 
Amazon SageMaker Feature Store No 
Amazon SageMaker Unified Studio No 
Causal No 
DataHub No 
Facebook Yes 
FairCom DB No 
FairCom EDGE No 
Feroot No 
Localytics Yes 
NetSuite Yes 
SDF No 
Saagie No 
Unity Catalog No 
Wavo No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version 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 

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 Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/glue/

Vendor Details

Company Name

Etleap

Country

United States

Website

etleap.com

Product Features

Data Discovery

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

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

ETL

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

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 

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