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logstash VS Spark Streaming

Compare logstash VS Spark Streaming and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

logstash logo logstash

logstash is a tool for managing events and logs.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • logstash Landing page
    Landing page //
    2023-10-21
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

logstash videos

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Visualizing Logs Using ElasticSearch, Logstash and Kibana

More videos:

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

Spark Streaming videos

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Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Category Popularity

0-100% (relative to logstash and Spark Streaming)

logstash

Spark Streaming

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Log Management
100 100%
Log Management
0% 0
Data Management
0 0%
Data Management
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 Spark Streaming

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

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
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Social recommendations and mentions

Based on our record, Spark Streaming seems to be more popular. It has been mentiond 3 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.

Spark Streaming mentions (3)

  • 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 / 3 months ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing logstash and Spark Streaming, you can also consider the following products

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

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

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.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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