Apache NiFi
Apache NiFi

124
232
+ 1
10
Logstash
Logstash

4.9K
3.9K
+ 1
97
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Apache NiFi vs Logstash: What are the differences?

Developers describe Apache NiFi as "A reliable system to process and distribute data". An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. On the other hand, Logstash is detailed as "Collect, Parse, & Enrich Data". Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

Apache NiFi can be classified as a tool in the "Stream Processing" category, while Logstash is grouped under "Log Management".

Logstash is an open source tool with 10.3K GitHub stars and 2.78K GitHub forks. Here's a link to Logstash's open source repository on GitHub.

- No public GitHub repository available -

What is Apache NiFi?

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

What is Logstash?

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
Why do developers choose Apache NiFi?
Why do developers choose Logstash?

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What companies use Apache NiFi?
What companies use Logstash?

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What tools integrate with Apache NiFi?
What tools integrate with Logstash?

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What are some alternatives to Apache NiFi and Logstash?
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Apache Storm
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.
Apache Camel
An open source Java framework that focuses on making integration easier and more accessible to developers.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Airflow
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
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Reviews of Apache NiFi and Logstash
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How developers use Apache NiFi and Logstash
Avatar of Blue Kangaroo
Blue Kangaroo uses LogstashLogstash

Data ingestion, manipulation and re-pushing to other services.

Avatar of Tongliang Liu
Tongliang Liu uses LogstashLogstash

Log aggregation from tons of production servers.

Avatar of douglasresende
douglasresende uses LogstashLogstash

I use to manager logs of any applications.

Avatar of Tom Staijen
Tom Staijen uses LogstashLogstash

Move logs from RabbitMQ to ElasticSearch.

Avatar of JosephYeo
JosephYeo uses LogstashLogstash
  • 효율적으로 elastcsearch에 연결해주는 방법
How much does Apache NiFi cost?
How much does Logstash cost?
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