AWS Glue Features

Data Governance (3)

User Access Management: As reported in 16 AWS Glue reviews. 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 This feature was mentioned in 14 AWS Glue reviews.
Data Lineage: Provides historical insights into original data sources and transformations made to data sets 14 reviewers of AWS Glue have provided feedback on this feature.

Search: Based on 17 AWS Glue reviews. 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 This feature was mentioned in 15 AWS Glue reviews.
Data Transformation: As reported in 16 AWS Glue reviews. 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 18 reviewers of AWS Glue have provided feedback on this feature.

Commenting: Based on 16 AWS Glue reviews. 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 16 reviewers of AWS Glue have provided feedback on this feature.
Business and Data Glossary: Based on 16 AWS Glue reviews. Creates a business glossary for faster understanding by the average business user
Metadata Management: As reported in 18 AWS Glue reviews. Indexes metadata descriptions for easier searching and enhanced insights

Breadth of Data Sources: As reported in 60 AWS Glue reviews. 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 60 reviewers of AWS Glue have provided feedback on this feature.
API Connectivity: Offers API connections for cloud-based applications and data sources This feature was mentioned in 56 AWS Glue reviews.

Profiling and Classification: As reported in 57 AWS Glue reviews. Permits profiling of data sets for increased organization, both by users and machine learning
Metadata Management: As reported in 61 AWS Glue reviews. 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 This feature was mentioned in 60 AWS Glue reviews.
Data Joining: As reported in 60 AWS Glue reviews. Allows self-service joining of tables
Data Blending: As reported in 54 AWS Glue reviews. 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 This feature was mentioned in 59 AWS Glue reviews.
Data Sharing: As reported in 56 AWS Glue reviews. Offers collaborative functionality for sharing queries and data sets
Data Governance: Ensures user access management, data lineage, and data encryption This feature was mentioned in 57 AWS Glue reviews.

Breadth of Integrations: Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools This feature was mentioned in 58 AWS Glue reviews.
Ease of Integrations: Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools This feature was mentioned in 58 AWS Glue reviews.
Data Workflows: As reported in 61 AWS Glue reviews. Operationalizes data workflows to easily scale repeatable preparation needs

Database Management: Supports for managing different types of databases and integration methods. 23 reviewers of AWS Glue have provided feedback on this feature.
Access Control: Gives admistrators control over data-related privilages and accessability This feature was mentioned in 23 AWS Glue reviews.
Data Security: Allows users to secure access to data. Provides additional support for security practices like IP whitelisting, attack mitigation, and data encryption. This feature was mentioned in 25 AWS Glue reviews.

Architecture: Creates integrations and allows management of connected contains. This feature was mentioned in 24 AWS Glue reviews.
Provisioning: Based on 23 AWS Glue reviews. Allows administrators to organize components of the database to maintain instance efficiency.
Orchestration: Allows admisistrators to manage and organize storage, networks, and datacenters. This feature was mentioned in 22 AWS Glue reviews.
API / Integrations: As reported in 22 AWS Glue reviews. 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.

Data Visualization: Processes data and represents interpretations in a variety of graphic formats. This feature was mentioned in 24 AWS Glue reviews.
Application Performance: Based on 23 AWS Glue reviews. Functions when integrated with multiple forms of external applications.
Data Modeling: Based on 24 AWS Glue reviews. Tools to (re)structure data in a manner that allows extracting insights quickly and accurately.

Reporting: View ETL process data via reports and visualizations like charts and graphs. 61 reviewers of AWS Glue have provided feedback on this feature.
Auditing: Record ETL historical data for auditing and potential data correction needs. 56 reviewers of AWS Glue have provided feedback on this feature.
Real-Time Analytics: As reported in 18 AWS Glue reviews. Track data and system backups, replication, and failover events.
Solution Integration: Based on 19 AWS Glue reviews. Integrate with other management, resilience, or backup solutions
Infrastructure Compatibility: Based on 18 AWS Glue reviews. Be compatible with a variety of cloud and/or virtual infrastructure.
Monitoring: Monitor replication environment via GUI 17 reviewers of AWS Glue have provided feedback on this feature.

Extraction: Extract data from the designated source(s) like relational databases, JSON files, and XML files. This feature was mentioned in 67 AWS Glue reviews.
Transformation: Based on 70 AWS Glue reviews. Cleanse and re-format extracted data to the needed target format.
Loading: Load reformatted data into target database, data warehouse, or other storage location. 69 reviewers of AWS Glue have provided feedback on this feature.
Automation: Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly). 66 reviewers of AWS Glue have provided feedback on this feature.
Scalability: Capable of scaling processing power up or down based on ETL volume. 66 reviewers of AWS Glue have provided feedback on this feature.