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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. LogSense vs Sumo Logic

LogSense vs Sumo Logic

OverviewComparisonAlternatives

Overview

Sumo Logic
Sumo Logic
Stacks192
Followers282
Votes21
LogSense
LogSense
Stacks0
Followers3
Votes0

Sumo Logic vs LogSense: What are the differences?

Developers describe Sumo Logic as "Cloud Log Management for Application Logs and IT Log Data". 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. On the other hand, LogSense is detailed as "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..

Sumo Logic and LogSense can be categorized as "Log Management" tools.

Some of the features offered by Sumo Logic are:

  • Ability to collect data from on-premise sources, private/public/hybrid clouds, and SaaS/PaaS environments
  • Real-time continuous query engine that constantly updates dashboards and reports for immediate visualization
  • Anomaly detection engine that enables companies to proactively uncover events without writing rules

On the other hand, LogSense provides the following key features:

  • Logs as a service
  • Logs collection
  • Logs parsing

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Detailed Comparison

Sumo Logic
Sumo Logic
LogSense
LogSense

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.

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.

Ability to collect data from on-premise sources, private/public/hybrid clouds, and SaaS/PaaS environments;Real-time continuous query engine that constantly updates dashboards and reports for immediate visualization;Anomaly detection engine that enables companies to proactively uncover events without writing rules;LogReduce, our pattern-recognition engine, that distills tens/hundreds of thousands of log messages into a set of patterns for easier issue identification and resolution;The ability to support data bursts on-demand with our elastic log processing architecture;Real-time alerts and notifications
Logs as a service; Logs collection; Logs parsing; Log patterns autodiscovery; Logs search; Anomaly detection; Alerting
Statistics
Stacks
192
Stacks
0
Followers
282
Followers
3
Votes
21
Votes
0
Pros & Cons
Pros
  • 11
    Search capabilities
  • 5
    Live event streaming
  • 3
    Pci 3.0 compliant
  • 2
    Easy to setup
Cons
  • 2
    Expensive
  • 1
    Occasionally unreliable log ingestion
  • 1
    Missing Monitoring
No community feedback yet
Integrations
Amazon CloudFront
Amazon CloudFront
Amazon S3
Amazon S3
Akamai
Akamai
AWS CloudTrail
AWS CloudTrail
Slack
Slack
Amazon CloudWatch
Amazon CloudWatch
MySQL
MySQL
Heroku
Heroku
Fluentd
Fluentd
Linux
Linux
AppHarbor
AppHarbor

What are some alternatives to Sumo Logic, LogSense?

Papertrail

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

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

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

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

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

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

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

Fluentd

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

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.

Splunk

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

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