Connecto to Big Data and NoSQL
Ability to connect to non-traditional data sources like Hadoop and other big data technologies, and NoSQL databases
Cat avg: 7.8
Top Performing Features
Data model creation
Ability to create and maintain data models using a graphical tool to define relationships between data
Cat avg: 8.4
Metadata management
Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management
Cat avg: 7.9
Collaboration
Collaboration is enabled by a shared repository of project information and metadata
Cat avg: 7.4
Worst Performing Features
Connect to traditional data sources
Ability to connect to traditional data sources like relational databases, flat files, XML files and packaged applications
Cat avg: 8.8
Business rules and workflow
Ability to define and manage business rules and workflows
Cat avg: 8.3
Testing and debugging
Tool to debug and tune for optimal performance
Cat avg: 7.1
AWS Data Exchange Features from Reviews
Data Source Connection
Ability to connect to multiple data sources
8.0-5%
Connect to traditional data sources
Ability to connect to traditional data sources like relational databases, flat files, XML files and packaged applications
Category average: 8.8
Connecto to Big Data and NoSQL
Ability to connect to non-traditional data sources like Hadoop and other big data technologies, and NoSQL databases
Category average: 7.8
Data Modeling
A data model is a diagram or flowchart that illustrates the relationships between data
8.2+4%
Data model creation
Ability to create and maintain data models using a graphical tool to define relationships between data
Category average: 8.4
Metadata management
Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management
Category average: 7.9
Business rules and workflow
Ability to define and manage business rules and workflows
Category average: 8.3
Collaboration
Collaboration is enabled by a shared repository of project information and metadata
Category average: 7.4
Testing and debugging
Tool to debug and tune for optimal performance
Category average: 7.1
Data Governance
Data governance is the practise of implementing policies defining effective use of an organization's data assets
7-10%
Integration with data quality tools
Integration with tools for cleansing, parsing and normalizing data according to business rules
Category average: 7.9