[
AWS Glue Reviews
](https://www.g2.com/products/aws-glue/reviews)

[
AWS Glue Reviews
](https://www.g2.com/products/aws-glue/reviews)

# AWS Glue Features

##### 
## Data Governance (3)

User Access Management

Allows administrators to assign role-based user access for specific data sets

Dynamic Data Masking

Hides and masks sensitive data automatically based on user permissions

Data Lineage

Provides historical insights into original data sources and transformations made to data sets

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##### 
## Data Preparation (4)

Search

Offers simple search capabilities to discover specific data sets

Data Quality and Cleansing

Allows users and administrators to easily clean data to maintain quality and integrity

Data Transformation

Converts data formats of source data into the format required for the reporting system without mistakes

Data Modeling

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

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##### 
## Collaboration (4)

Commenting

Allows users to comment on data sets to help future users better interact and interpret the data

Profiling and Classification

Permits profiling of data sets for increased organization, both by users and machine learning

Business and Data Glossary

Creates a business glossary for faster understanding by the average business user

Metadata Management

Indexes metadata descriptions for easier searching and enhanced insights

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##### 
## Data Source Access (3)

Breadth of Data Sources

Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others

Ease of Data Connectivity

Allows businesses to easily connect to any data source

API Connectivity

Offers API connections for cloud-based applications and data sources

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##### 
## Data Interaction (8)

Profiling and Classification

Permits profiling of data sets for increased organization, both by users and machine learning

Metadata Management

Indexes metadata descriptions for easier searching and enhanced insights

Data Modeling

Tools to (re)structure data in a manner that enables quick and accurate insight extraction

Data Joining

Allows self-service joining of tables

Data Blending

Provides the ability to combine data sources into one data set

Data Quality and Cleansing

Allows users and administrators to easily clean data to maintain quality and integrity

Data Sharing

Offers collaborative functionality for sharing queries and data sets

Data Governance

Ensures user access management, data lineage, and data encryption

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##### 
## Data Exporting (3)

Breadth of Integrations

Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools

Ease of Integrations

Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools

Data Workflows

Operationalizes data workflows to easily scale repeatable preparation needs

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##### 
## Administration (3)

Database Management

Supports for managing different types of databases and integration methods.

Access Control

Gives admistrators control over data-related privilages and accessability

Data Security

Allows users to secure access to data. Provides additional support for security practices like IP whitelisting, attack mitigation, and data encryption.

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##### 
## Federation (4)

Architecture

Creates integrations and allows management of connected contains.

Provisioning

Allows administrators to organize components of the database to maintain instance efficiency.

Orchestration

Allows admisistrators to manage and organize storage, networks, and datacenters.

API / Integrations

Application Programming Interface Specification for how the application communicates with other software. APIs typically enable integration of data, logic, objects, etc. with other software applications.

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##### 
## Transformation (3)

Data Visualization

Processes data and represents interpretations in a variety of graphic formats.

Application Performance

Functions when integrated with multiple forms of external applications.

Data Modeling

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately.

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##### 
## Management (6)

Reporting

View ETL process data via reports and visualizations like charts and graphs.

Auditing

Record ETL historical data for auditing and potential data correction needs.

Real-Time Analytics

Track data and system backups, replication, and failover events.

Solution Integration

Integrate with other management, resilience, or backup solutions

Infrastructure Compatibility

Be compatible with a variety of cloud and/or virtual infrastructure.

Monitoring

Monitor replication environment via GUI

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##### 
## Functionality (5)

Extraction

Extract data from the designated source(s) like relational databases, JSON files, and XML files.

Transformation

Cleanse and re-format extracted data to the needed target format.

Loading

Load reformatted data into target database, data warehouse, or other storage location.

Automation

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Scalability

Capable of scaling processing power up or down based on ETL volume.

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##### 
## Solution Provision (3)

System Failover

Provide as-before failover capabilities for cloud environments.

Pay by Usage

Services are offered under a pay-as-you-go or utilization-based purchase model.

Service Provision

Offer disaster recovery capabilities as a third-party provider.

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##### 
## Generative AI (3)

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

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##### 
## Agentic AI - Machine Learning Data Catalog (5)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - AWS Marketplace (3)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

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AWS Glue Comparisons

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##### Categories on G2

[
AWS Marketplace
](https://www.g2.com/categories/aws-marketplace)[
ETL Tools
](https://www.g2.com/categories/etl-tools)[
Data Preparation
](https://www.g2.com/categories/data-preparation)

[
Big Data Integration Platforms
](https://www.g2.com/categories/big-data-integration-platforms)[
Data Replication
](https://www.g2.com/categories/data-replication)[
Data Virtualization
](https://www.g2.com/categories/data-virtualization)[
Machine Learning Data Catalog
](https://www.g2.com/categories/machine-learning-data-catalog)

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