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logstash VS Apache Flink

Compare logstash VS Apache Flink and see what are their differences

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logstash logo logstash

logstash is a tool for managing events and logs.

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
  • logstash Landing page
    Landing page //
    2023-10-21
  • Apache Flink Landing page
    Landing page //
    2023-10-03

logstash videos

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Visualizing Logs Using ElasticSearch, Logstash and Kibana

More videos:

  • Review - Security Onion with Elasticsearch, Logstash, and Kibana (ELK)

Apache Flink videos

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GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

Category Popularity

0-100% (relative to logstash and Apache Flink)

logstash

Apache Flink

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Big Data
0 0%
Big Data
100% 100
Log Management
100 100%
Log Management
0% 0
Stream Processing
0 0%
Stream Processing
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 logstash and Apache Flink

logstash Reviews

10 Best Open Source ETL Tools for Data Integration
A free and open source ETL tool, Logstash collects data from several sources, performs a transformation process, and sends the output back to your choice of data warehouse. It consists of pre-built filters and more than a hundred plugins to carry out the data process operations. No matter the format or the complexity of data, Logstash dynamically ingests, transforms, and...
Source: testsigma.com
11 Best FREE Open-Source ETL Tools in 2024
Logstash is an Open-Source Data Pipeline that extracts data from multiple data sources and transforms the source data and events and loads them into ElasticSearch, a JSON-based search, and analytics engine. It is part of the ELK Stack. The “E” stands for ElasticSearch and the “K” stands for Kibana, a Data Visualization engine.
Source: hevodata.com
10 Best Linux Monitoring Tools and Software to Improve Server Performance [2022 Comparison]
Lastly, the Elastic Stack (ELK Stack) is a well-known tool for Linux performance monitoring. It’s composed of Elasticsearch (full-text search), Logstash (a log aggregator), Kibana (visualization via graphs and charts), and Beats (lightweight metrics collectors and shippers).
Source: sematext.com
Top 10 Popular Open-Source ETL Tools for 2021
Logstash is an Open-Source Data Pipeline that extracts data from multiple data sources and transforms the source data and events and loads them into ElasticSearch, a JSON-based search, and analytics engine. It is part of the ELK Stack. The “E” stands for ElasticSearch and the “K” stands for Kibana, a Data Visualization engine.
Source: hevodata.com
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
Logstash is an open source data processing pipeline that ingests data from multiple sources simultaneously, transforming the source data and store events into ElasticSearch by default. Logstash is part of an ELK stack. The E stands for Elasticsearch, a JSON-based search and analytics engine, and the K stands for Kibana, which enables data visualization.
Source: blog.panoply.io

Apache Flink Reviews

We have no reviews of Apache Flink yet.
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Social recommendations and mentions

Based on our record, Apache Flink seems to be more popular. It has been mentiond 27 times 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.

logstash mentions (0)

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

Apache Flink mentions (27)

  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 14 days ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 2 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 4 months ago
  • Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog
    Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 4 months ago
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What are some alternatives?

When comparing logstash and Apache Flink, you can also consider the following products

Fluentd - Fluentd is a cross platform open source data collection solution originally developed at Treasure Data.

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

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

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

Splunk - Splunk's operational intelligence platform helps unearth intelligent insights from machine data.

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

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