Software Alternatives, Accelerators & Startups

Goka VS Fluentd

Compare Goka VS Fluentd and see what are their differences

Goka logo Goka

Goka is a distributed stream processing library for Apache Kafka written in Go.

Fluentd logo Fluentd

Fluentd is a cross platform open source data collection solution originally developed at Treasure Data.
  • Goka Landing page
    Landing page //
    2023-09-18
  • Fluentd Landing page
    Landing page //
    2018-09-30

Goka videos

2008 BMS GOKA 800cc

More videos:

  • Review - GOKA CATTLE FEED
  • Review - Best medicine for healing cracks | goka jalwatawar malam | review | usage | indication | content

Fluentd videos

How-to Ship Logs to Grafana Loki with Promtail, FluentD & Fluent-bit

More videos:

  • Review - OpenShift Commons Briefing #72: Cloud Native Logging with Fluentd
  • Review - Fluentd, the Open Source Data Collection tool

Category Popularity

0-100% (relative to Goka and Fluentd)
Stream Processing
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Big Data
100 100%
0% 0
Log Management
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Goka and Fluentd

Goka Reviews

We have no reviews of Goka yet.
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Fluentd Reviews

11 Best Splunk Alternatives
The CloudFront-log plugin, for example, can be used to ingest logs from Amazon CloudFront, while the elasticsearch plugin can be used to route logs to Elasticsearch. Fluentd only provides ingestion and routing services, so you'll have to develop your log management solution from the ground up. Fluentd has become a popular alternative to Logstash, transforming ELK into EFK....
Top 15 Kafka Alternatives Popular In 2021
Inputs and outputs have inbuilt support to buffer, load balance, timeout and retry instances. It has a unified logging layer in between the data sources. There are over 5000+ companies that rely on Fluentd and approximately collect logs from over 50000+ servers. It scraps logs from sources and sends them across to services like object storage, Elasticsearch, etc. it is...
Best Log Management Tools: Useful Tools for Log Management, Monitoring, Analytics, and More
Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure. Fluentd’s flagship feature is an extensive library of plugins which provide extended support and functionality for anything related to log and data management within a concise developer environment.
Source: stackify.com

Social recommendations and mentions

Based on our record, Goka seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Goka mentions (1)

  • Go and Kafka
    You might want to try: https://github.com/lovoo/goka -- it uses levelDB to keep state from a stream. The application we wrote in-house with goka can process (keeping state) approximately 800+ messages/sec per consumer in a consumer-group. Source: about 3 years ago

Fluentd mentions (0)

We have not tracked any mentions of Fluentd yet. Tracking of Fluentd recommendations started around Mar 2021.

What are some alternatives?

When comparing Goka and Fluentd, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

logstash - logstash is a tool for managing events and logs.

Tigon - Tigon is an open source real-time stream processing framework built on top of Apache Hadoop and Apache HBase.

rsyslog - Rsyslog is an enhanced syslogd supporting, among others, MySQL, PostgreSQL, failover log...

Lightbend Akka Platform - Lightbend Fast Data Platform is the easy on-ramp to successful streaming Fast Data applications.

Graylog - Graylog is an open source log management platform for collecting, indexing, and analyzing both structured and unstructured data.