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  1. Stackups
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  5. Kapacitor vs Riemann

Kapacitor vs Riemann

OverviewComparisonAlternatives

Overview

Riemann
Riemann
Stacks41
Followers55
Votes9
Kapacitor
Kapacitor
Stacks40
Followers54
Votes0

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CLI (Node.js)
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Detailed Comparison

Riemann
Riemann
Kapacitor
Kapacitor

Riemann aggregates events from your servers and applications with a powerful stream processing language. Send an email for every exception in your app. Track the latency distribution of your web app. See the top processes on any host, by memory and CPU.

It is a native data processing engine for InfluxDB 1.x and is an integrated component in the InfluxDB 2.0 platform. It can process both stream and batch data from InfluxDB, acting on this data in real-time via its programming language TICKscript.

See your system at a glance with a Sinatra app; Throttle or roll up multiple events into a single message; Forward any event stream to Graphite; Query states easily
can process both stream and batch data ; acting on data in real-time
Statistics
Stacks
41
Stacks
40
Followers
55
Followers
54
Votes
9
Votes
0
Pros & Cons
Pros
  • 5
    Sophisticated stream processing DSL
  • 4
    Clojure-based stream processing
No community feedback yet
Integrations
No integrations available
InfluxDB
InfluxDB
Kafka
Kafka

What are some alternatives to Riemann, Kapacitor?

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Apache Storm

Apache Storm

Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.

Confluent

Confluent

It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream

KSQL

KSQL

KSQL is an open source streaming SQL engine for Apache Kafka. It provides a simple and completely interactive SQL interface for stream processing on Kafka; no need to write code in a programming language such as Java or Python. KSQL is open-source (Apache 2.0 licensed), distributed, scalable, reliable, and real-time.

Heron

Heron

Heron is realtime analytics platform developed by Twitter. It is the direct successor of Apache Storm, built to be backwards compatible with Storm's topology API but with a wide array of architectural improvements.

Packetbeat

Packetbeat

Packetbeat agents sniff the traffic between your application processes, parse on the fly protocols like HTTP, MySQL, Postgresql or REDIS and correlate the messages into transactions.

Observium

Observium

It is a low-maintenance auto-discovering network monitoring platform supporting a wide range of device types, platforms and operating systems

Kafka Streams

Kafka Streams

It is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.

Beats

Beats

Beats is the platform for single-purpose data shippers. They send data from hundreds or thousands of machines and systems to Logstash or Elasticsearch.

Wireshark

Wireshark

It is the world’s foremost and widely-used network protocol analyzer. It lets you see what’s happening on your network at a microscopic level and is the de facto standard across many commercial and non-profit enterprises, government agencies, and educational institutions.

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