Splunk vs LogSense

Overview

Splunk

Stacks772

Followers1.0K

Votes20

LogSense

Stacks0

Followers3

Votes0

Splunk vs LogSense: What are the differences?

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.

What is LogSense? Intelligent log monitoring, analytics and vulnerability discovery. It makes it easy to understand what’s happening in your environment. You can submit any type of log (including web logs, application logs, and system logs) for parsing and analysis. All with no training, no agents, or hassles Our patent-pending machine learning engine can parse all logs – even if the pattern is unknown. Once parsed, unknown logs will be displayed so that the keys can be renamed as desired. All future logs will be recognized with those keys and are available for charting and alerting immediately based on any defined criteria you establish..

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

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Audit log management system for any application

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Detailed Comparison

Splunk	LogSense
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.	It makes it easy to understand what’s happening in your environment. You can submit any type of log (including web logs, application logs, and system logs) for parsing and analysis. All with no training, no agents, or hassles. Our patent-pending machine learning engine can parse all logs – even if the pattern is unknown. Once parsed, unknown logs will be displayed so that the keys can be renamed as desired. All future logs will be recognized with those keys and are available for charting and alerting immediately based on any defined criteria you establish.
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	Logs as a service; Logs collection; Logs parsing; Log patterns autodiscovery; Logs search; Anomaly detection; Alerting
Statistics
Stacks 772	Stacks 0
Followers 1.0K	Followers 3
Votes 20	Votes 0
Pros & Cons
Pros 3 Alert system based on custom query results 3 API for searching logs, running reports 2 Ability to style search results into reports 2 Query engine supports joining, aggregation, stats, etc 2 Dashboarding on any log contents Cons 1 Splunk query language rich so lots to learn	No community feedback yet
Integrations
No integrations available	Slack Amazon CloudWatch MySQL Heroku Fluentd Linux AppHarbor

What are some alternatives to Splunk, LogSense?

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.