Features
Top Performing Features
Integration with data quality tools
Integration with tools for cleansing, parsing and normalizing data according to business rules
Category average: 7.2
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
Simple transformations
Simple data transformations are calculations, data type conversions, aggregations and search and replace operations
Category average: 8.8
Data model creation
Ability to create and maintain data models using a graphical tool to define relationships between data
Category average: 8.3
Data Source Connection
Ability to connect to multiple data sources
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: 7.6
Data Transformations
Data transformations include calculations, search and replace, data normalization and data parsing
Simple transformations
Simple data transformations are calculations, data type conversions, aggregations and search and replace operations
Category average: 8.8
Complex transformations
Complex data transformations are data normalization, advanced data parsing, etc.
Category average: 7.3
Data Modeling
A data model is a diagram or flowchart that illustrates the relationships between data
Data model creation
Ability to create and maintain data models using a graphical tool to define relationships between data
Category average: 8.3
Metadata management
Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management
Category average: 7.4
Business rules and workflow
Ability to define and manage business rules and workflows
Category average: 8.1
Collaboration
Collaboration is enabled by a shared repository of project information and metadata
Category average: 7.8
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
Integration with data quality tools
Integration with tools for cleansing, parsing and normalizing data according to business rules
Category average: 7.2
Integration with MDM tools
Integration with master data management tools to ensure data consistency across the organization
Category average: 7.1