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Fluentd VS Apache Spark

Compare Fluentd VS Apache Spark and see what are their differences

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Fluentd logo Fluentd

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

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • Fluentd Landing page
    Landing page //
    2018-09-30
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Fluentd videos

+ Add

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

Apache Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to Fluentd and Apache Spark)

Fluentd

Apache Spark

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Databases
0 0%
Databases
100% 100
Log Management
100 100%
Log Management
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Fluentd and Apache Spark. For example, how are they different and which one is better?
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Reviews

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

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....
Source: www.ittsystems.com
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...
Source: www.spec-india.com
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

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Apache Spark seems to be more popular. It has been mentiond 56 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.

Fluentd mentions (0)

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

Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / about 2 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 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
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

What are some alternatives?

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

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

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

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

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

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

Hadoop - Open-source software for reliable, scalable, distributed computing

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