Cues: low-latency persistent blocking queues, processors, and graphs via ChronicleQueue

• cues

  2 104 5.6 Clojure

  Queues on cue: low-latency persistent blocking queues, processors, and graphs via Chronicle Queue

Cues extends ChronicleQueue and Tape to provide:

• Chronicle Queue

  2 3,152 9.3 Java

  Micro second messaging that stores everything to disk

  

Cues extends ChronicleQueue and Tape to provide:

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• ApacheKafka

  104 28 0.0

  A curated re-sources list for awesome Apache Kafka

The processors and graphs are meant to provide a dead-simple version of the abstractions you get in a distributed messaging system like Kafka. But there are no clusters to configure, no partitions to worry about, and it is several orders of magnitude faster.

• tape

  1 133 10.0 Clojure

  Chronicle Queue helpers (by mpenet)

Cues extends ChronicleQueue and Tape to provide:

• durable-queue

  1 381 3.7 Clojure

  a disk-backed queue for clojure

  

By themselves, the blocking queues are similar to what durable-queue provides, just one or more orders of magnitude faster. They also come with an API that aligns more closely with the persistence model: you get queues, tailers, and appenders, and addressable, immutable indices that you can traverse forwards and backwards.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

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