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Stream Ops is a fully embeddable data streaming engine and stream processing API for Java.
The main features of nanosai/stream-ops-java are: Streaming Libraries.
Open-source alternatives to nanosai/stream-ops-java include: airtai/faststream — FastStream is an asynchronous Python framework designed for building event-driven microservices. It provides a unified… akka/akka — Akka is an actor model framework and distributed systems platform used to build concurrent and distributed… apache/kafka — Kafka is a distributed event streaming platform designed for capturing, storing, and processing real-time data streams… brexhq/substation — Substation is a toolkit for routing, normalizing, and enriching security event and audit logs. functional-streams-for-scala/fs2 — Compositional, streaming I/O library for Scala. airbnb/streamalert — StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data…
FastStream is an asynchronous Python framework designed for building event-driven microservices. It provides a unified abstraction layer for interacting with various message brokers, enabling developers to manage event production and consumption through a consistent interface while maintaining access to native provider-specific features. The framework centers on a decorator-based routing model that binds application logic directly to broker topics, supported by a built-in dependency injection container that resolves resources at runtime. The framework distinguishes itself through its deep int
Akka is an actor model framework and distributed systems platform used to build concurrent and distributed applications. It provides a toolkit for managing multi-threaded state and behavior through asynchronous message passing, allowing developers to create concurrent applications without manual locks or synchronization. The system functions as a cluster management and event sourcing framework, automating the scaling and coordination of high-availability clusters. It enables the deployment of elastic services that coordinate workloads across multiple network nodes and ensures fault tolerance
Kafka is a distributed event streaming platform designed for capturing, storing, and processing real-time data streams across interconnected nodes. It functions as a distributed commit log, providing a fault-tolerant storage mechanism that records state changes sequentially to ensure data consistency and durability across distributed environments. The platform distinguishes itself through a partitioned commit log architecture that enables horizontal scaling and parallel processing of data streams. It integrates a stream processing engine for continuous transformations and aggregations, while
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.