Datameer Spectrum is a fully-featured data preparation and integration platform with wizard-driven simplicity and point-and-click transformations for fast, easy data preparation by your analyst community without writing one line of code. Once integration dataflows are ready, Spectrum’s enterprise-grade operationalization, security, and governance features enable reliable, automated, and secure data pipelines to ensure a consistent data flow.
Spectrum offers a comprehensive suite for data preparation and integration. It supports analyst self-service data preparation and data engineering use cases, enabling a single hub for all data preparation across an enterprise. Pipelines can span across various approaches and needs, including ETL, ELT, data preparation, and data science.
The point-and-click simplicity of Spectrum makes it easy for analyst and data scientist self-service. Simultaneously, the deep suite of functions and governance features enable data engineering pipelines of any level of sophistication. The result is a cooperative environment where analysts and data engineers can get your data analytics-ready 10 to 20 times faster at a fraction of the cost.
Spectrum has extensive features to support your hybrid-cloud data landscape, is cloud-native on all three major cloud platforms (AWS, Azure, GCP), and carries with it the elasticity and cost economics you would expect in the cloud. Spectrum can bring together any data sources you have regardless of type, format, and location (cloud or on-premises).