DataCleaner is a data quality analysis tool that allows you to perform data profiling, validating, and minor ETL-like tasks. These activities help you administer and monitor your data quality in order to ensure that your data is useful and applicable to your business situation. It can be used for master data management (MDM) methodologies, data warehousing projects, statistical research, preparation for extract-transform-load activities, and more.
With MetaModel, you use a type-safe SQL-like API for querying any datastore. It is a data access framework providing a common interface for exploration and querying of different types of datastores. It isn't a data mapping framework. Instead, it emphasizes abstraction of metadata and the ability to add data sources at runtime, making MetaModel great for generic data processing applications, but less so for applications modeled around a particular domain.