Splunk vs ELK

Overview

Splunk

Stacks772

Followers1.0K

Votes20

ELK

Stacks863

Followers941

Votes23

ELK vs Splunk: What are the differences?

What is ELK? The acronym for three open source projects: Elasticsearch, Logstash, and Kibana. It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.

What is Splunk? Search, monitor, analyze and visualize machine data. Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.

ELK and Splunk can be primarily classified as "Log Management" tools.

According to the StackShare community, ELK has a broader approval, being mentioned in 53 company stacks & 14 developers stacks; compared to Splunk, which is listed in 31 company stacks and 29 developer stacks.

🔥 Trending in Log Management on StackShare

ELK Log Management

The acronym for three open source projects: Elasticsearch, Logstash, and Kibana

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Detailed Comparison

Splunk	ELK
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.	It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
Predict and prevent problems with one unified monitoring experience; Streamline your entire security stack with Splunk as the nerve center; Detect, investigate and diagnose problems easily with end-to-end observability	-
Statistics
Stacks 772	Stacks 863
Followers 1.0K	Followers 941
Votes 20	Votes 23
Pros & Cons
Pros 3 API for searching logs, running reports 3 Alert system based on custom query results 2 Ability to style search results into reports 2 Query engine supports joining, aggregation, stats, etc 2 Splunk language supports string, date manip, math, etc Cons 1 Splunk query language rich so lots to learn	Pros 14 Open source 4 Can run locally 3 Good for startups with monetary limitations 1 External Network Goes Down You Aren't Without Logging 1 Easy to setup Cons 5 Elastic Search is a resource hog 3 Logstash configuration is a pain 1 Bad for startups with personal limitations

What are some alternatives to Splunk, ELK?

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

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.

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

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.

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Presto

Distributed SQL Query Engine for Big Data

Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.