Event Processing
Showing 16 of 16 projects
A scalable time series database optimized for real-time metrics, events, and analytics with fast query response.
A server-side data processing pipeline that ingests, transforms, and ships logs and events from multiple sources.
An open-source log collector that unifies logging infrastructure by collecting events from various sources and routing them to multiple destinations.
A Ruby and Rails multi-threaded framework for building efficient Kafka-based event-driven applications.
SQL-based streaming analytics platform that scales to process hundreds of billions of real-time events daily.
A security feed collection and processing solution for IT security teams using message queuing protocols.
An open-source, in-memory, distributed batch and stream processing engine for Java applications.
A proxy service that offloads event processing, normalization, and ingestion from Sentry SDKs and server.
An open-source real-time stream processing framework combining high-throughput event processing with low-latency SQL-like streaming queries.
A flow-based application layer framework for Elixir that implements Flow-Based Programming (FBP) to structure business logic.
An Azure Functions-based secure gateway and reverse proxy for FHIR servers, enabling multi-tenant access, RBAC, and request/response processing.
A lightweight SQL-based stream processing engine for IoT edge, enabling real-time data transformation and windowed aggregation.
A distributed platform for processing continuous unbounded streams of data with a clean API and fault tolerance.
A high-performance Go library for rapid matching of thousands of events per second against extensive rule sets in-memory.
A resilient, zero-dependency Go package for in-application micro-batch processing with bounded latency.
A reliable message batching library for Elixir applications that collects and delivers messages in configurable batches.
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