Software Alternatives, Accelerators & Startups
Register | Login

Azure Stream Analytics VS Goka

Compare Azure Stream Analytics VS Goka and see what are their differences

Hive
Seamless project management and collaboration for your team. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Azure Stream Analytics logo Azure Stream Analytics

Azure Stream Analytics offers real-time stream processing in the cloud.

Goka logo Goka

Goka is a distributed stream processing library for Apache Kafka written in Go.
  • Azure Stream Analytics Landing page
    Landing page //
    2023-01-21
  • Goka Landing page
    Landing page //
    2023-09-18

Azure Stream Analytics videos

+ Add

Azure Stream Analytics

More videos:

  • Review - Real-time Analytics with Azure Stream Analytics
  • Demo - Introduction to Azure Stream Analytics + Demo

Goka videos

+ Add

2008 BMS GOKA 800cc

More videos:

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

Category Popularity

0-100% (relative to Azure Stream Analytics and Goka)

Azure Stream Analytics

Goka

Stream Processing
79 79%
Stream Processing
21% 21
Big Data
72 72%
Big Data
28% 28
Data Management
100 100%
Data Management
0% 0
Databases
0 0%
Databases
100% 100

User comments

Share your experience with using Azure Stream Analytics and Goka. For example, how are they different and which one is better?
Log in or Post with

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.

Azure Stream Analytics mentions (0)

We have not tracked any mentions of Azure Stream Analytics yet. Tracking of Azure Stream Analytics recommendations started around Mar 2021.

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

What are some alternatives?

When comparing Azure Stream Analytics and Goka, you can also consider the following products

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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

PieSync - Seamless two-way sync between your CRM, marketing apps and Google in no time

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

Loading...