Splunk Enterprise vs StreamStash | What are the differences? | StackShare

Splunk Enterprise vs StreamStash

Overview

Splunk Enterprise

Stacks116

Followers114

Votes0

StreamStash

Stacks0

Followers6

Votes0

GitHub Stars60

Forks11

Splunk Enterprise vs StreamStash: What are the differences?

Splunk Enterprise: Splunk Enterprise is the easiest way to aggregate, analyze, and get answers from your machine data. Splunk Enterprise delivers massive scale and speed to give you the real-time insights needed to boost productivity, security, profitability and competitiveness; StreamStash: A log aggregating, filtering and redirecting service. It is a lightweight Node.js alternative to projects like logstash, flume, fluentd. It provides filters which allow you to modify event data or control the flow of an event through the system.

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

StreamStash is an open source tool with 53 GitHub stars and 10 GitHub forks. Here's a link to StreamStash's open source repository on GitHub.

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Log Management

Audit log management system for any application

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Detailed Comparison

Splunk Enterprise	StreamStash
Splunk Enterprise delivers massive scale and speed to give you the real-time insights needed to boost productivity, security, profitability and competitiveness.	It is a lightweight Node.js alternative to projects like logstash, flume, fluentd. It provides filters which allow you to modify event data or control the flow of an event through the system.
Real-time visibility; Data Source Agnostic; AI & Machine Learning	Filters; Telemetry
Statistics
GitHub Stars -	GitHub Stars 60
GitHub Forks -	GitHub Forks 11
Stacks 116	Stacks 0
Followers 114	Followers 6
Votes 0	Votes 0

What are some alternatives to Splunk Enterprise, StreamStash?

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.

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.

Sematext

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

Fluentd

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.

ELK

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.

Sumo Logic

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.