Composable serves as a coherent analytics ecosystem for business users that want to architect data intelligence solutions that leverage disparate data sources, live feeds, and event data regardless of the amount, format or structure of the data.
Composable can integrate across numerous database technologies, cloud services, applications, data warehouses and SaaS services. Below are just a select number of connectors available within Composable.
Dataflows enables users to compose data and computation modules into integrated workflows, such as complex ETL pipelines or advanced analytical engines
Dataflow applications within Composable consists of functional blocks strung together with connections to create new functionality. These functional blocks, called modules, can have multiple inputs and outputs. A module is analogous to a function in any programming language. A module takes in one or many inputs, and produces one or many outputs. These outputs can then be connected to any number of other module inputs. At its roots, a dataflow is a directed graph, where the nodes are the modules, and the edges are the connections between module inputs and outputs.