Complex transformations
Complex data transformations are data normalization, advanced data parsing, etc.
Cat avg: 7.2
Top Performing Features
Integration with MDM tools
Integration with master data management tools to ensure data consistency across the organization
Cat avg: 7.8
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
Integration with data quality tools
Integration with tools for cleansing, parsing and normalizing data according to business rules
Cat avg: 7.9
Worst Performing Features
Simple transformations
Simple data transformations are calculations, data type conversions, aggregations and search and replace operations
Cat avg: 8.1
Layer2 Cloud Connector Features from Reviews
Data Source Connection
Ability to connect to multiple data sources
6-29%
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
Data Transformations
Data transformations include calculations, search and replace, data normalization and data parsing
5.5-29%
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 Governance
Data governance is the practise of implementing policies defining effective use of an organization's data assets
6.5-17%
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
Layer2 Cloud Connector 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
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-contributedDocument synchronization
Cloud Data and File Migration
Document Backup
Azure Data Integration and File Sync
Code-free Data Integration (but C# supported, if required)
Data Integration for cloud and on-premise systems