Bento | Bento
Bento solves common data engineering tasks such as transformations, integrations, and multiplexing with declarative and unit testable configuration. This allows you to easily and incrementally adapt your data pipelines as requirements change, letting you focus on the more exciting stuff.
It comes armed with a wide range of processors, a lit mapping language, stateless windowed processing capabilities and an industry leading mascot.
Bento is able to glue a wide range of sources and sinks together and hook into a variety of databases, caches, HTTP APIs, lambdas and more, enabling you to seamlessly drop it into your existing infrastructure.
Working with disparate APIs and services can be a daunting task, doubly so in a streaming data context. With Bento it's possible to break these tasks down and automatically parallelize them as a streaming workflow.
Delivery guarantees can be a dodgy subject. Bento processes and acknowledges messages using an in-process transaction model with no need for any disk persisted state, so when connecting to at-least-once sources and sinks it's able to guarantee at-least-once delivery even in the event of crashes, disk corruption, or other unexpected server faults.
