Data model creation
Ability to create and maintain data models using a graphical tool to define relationships between data
Cat avg: 8.4
Top Performing Features
Metadata management
Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management
Cat avg: 7.9
Integration with MDM tools
Integration with master data management tools to ensure data consistency across the organization
Cat avg: 7.8
Simple transformations
Simple data transformations are calculations, data type conversions, aggregations and search and replace operations
Cat avg: 8.1
Worst Performing Features
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
Integration with data quality tools
Integration with tools for cleansing, parsing and normalizing data according to business rules
Cat avg: 7.9
Collaboration
Collaboration is enabled by a shared repository of project information and metadata
Cat avg: 7.3
HCL DataConnect Features from Reviews
Data Source Connection
Ability to connect to multiple data sources
9.5+13%
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 Transformations
Data transformations include calculations, search and replace, data normalization and data parsing
9.9+29%
Simple transformations
Simple data transformations are calculations, data type conversions, aggregations and search and replace operations
Category average: 8.1
Complex transformations
Complex data transformations are data normalization, advanced data parsing, etc.
Category average: 7.2
Data Modeling
A data model is a diagram or flowchart that illustrates the relationships between data
9.9+25%
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: 7.3
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
9.5+22%
Integration with data quality tools
Integration with tools for cleansing, parsing and normalizing data according to business rules
Category average: 7.9
Integration with MDM tools
Integration with master data management tools to ensure data consistency across the organization
Category average: 7.8
HCL DataConnect Features from the Vendor
Data Source Connection
Vendor-reviewedConnect to traditional data sources
Ability to connect to traditional data sources like relational databases, flat files, XML files and packaged applications
Connecto to Big Data and NoSQL
Ability to connect to non-traditional data sources like Hadoop and other big data technologies, and NoSQL databases
Data Transformations
Vendor-reviewedSimple transformations
Simple data transformations are calculations, data type conversions, aggregations and search and replace operations
Complex transformations
Complex data transformations are data normalization, advanced data parsing, etc.
Data Modeling
Vendor-reviewedData model creation
Ability to create and maintain data models using a graphical tool to define relationships between data
Metadata management
Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management
Business rules and workflow
Ability to define and manage business rules and workflows
Collaboration
Collaboration is enabled by a shared repository of project information and metadata
Testing and debugging
Tool to debug and tune for optimal performance
Data Governance
Vendor-reviewedIntegration with data quality tools
Integration with tools for cleansing, parsing and normalizing data according to business rules
Integration with MDM tools
Integration with master data management tools to ensure data consistency across the organization
Additional Features
Vendor-contributedDesign and management intuitiveness
Connect anything
Design once, deploy anywhere
Migration
Data profiling
Data Quality
Scales rapidly
Future-proof and Portable
End-to-end Security and Compliance
Simplified Architecture
Performance Tuning
Web Service API Invoker
Built-in Text, XML, and JSON Editors
Hybrid Agent