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Samza VS KSQL

Compare Samza VS KSQL and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Samza logo Samza

Application and Data, Data Stores, and Message Queue

KSQL logo KSQL

Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafka®.
  • Samza Landing page
    Landing page //
    2020-02-21
  • KSQL Landing page
    Landing page //
    2023-10-07

Samza videos

+ Add

Stream Processing with Apache Kafka & Apache Samza

KSQL videos

+ Add

Apache Kafka and KSQL in Action : Let’s Build a Streaming Data Pipeline! by Robin Moffatt

More videos:

  • Review - FSG | Orbx San Carlos KSQL Review

Category Popularity

0-100% (relative to Samza and KSQL)

Samza

KSQL

Stream Processing
39 39%
Stream Processing
61% 61
Analytics
43 43%
Analytics
57% 57
Workflow Automation
53 53%
Workflow Automation
47% 47
Big Data
37 37%
Big Data
63% 63

User comments

Share your experience with using Samza and KSQL. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Samza 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.

Samza mentions (1)

  • LinkedIn's new "distributed firewall"
    Samza, strem processing platform (developed by LinkedIn in 2016, joined Apache in 2014). Source: over 2 years ago

KSQL mentions (0)

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

What are some alternatives?

When comparing Samza and KSQL, you can also consider the following products

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

Kafka Streams - Apache Kafka: A Distributed Streaming Platform.

Apache NiFi - An easy to use, powerful, and reliable system to process and distribute data.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications

Faust - Application and Data, Data Stores, and Stream Processing

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