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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Devo vs Logsene

Devo vs Logsene

OverviewComparisonAlternatives

Overview

Sematext
Sematext
Stacks18
Followers31
Votes44
Devo
Devo
Stacks11
Followers19
Votes0

Logsene vs Devo: What are the differences?

Logsene: ELK as a Service Log Management. Log Management SaaS, compatible with ELK stack. It exposes Elasticsearch API and Kibana, has compatibility with Grafana, powerful search, reporting, correlation with metrics, alerting, and anomaly detection. Also Available On Premises; Devo: * The data analytics platform that unlocks the full value of machine data*. It delivers real-time operational and business value from analytics on streaming and historical data to operations, IT, security and business teams at the world’s largest organizations.

Logsene and Devo can be categorized as "Log Management" tools.

Some of the features offered by Logsene are:

  • Available in the Cloud and On Premises
  • Exposes Elasticsearch API
  • Includes Kibana

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

  • Scalable data analysis tool
  • Fast data ingestion
  • Fast real-time queries on Big Data

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Detailed Comparison

Sematext
Sematext
Devo
Devo

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

It delivers real-time operational and business value from analytics on streaming and historical data to operations, IT, security and business teams at the world’s largest organizations.

Available in the Cloud and On Premises; Infrastructure Monitoring; Application Performance Monitoring; Log Management; Real User Monitoring; Synthetic Monitoring; Container/Docker/Kubernetes Monitoring; Server/VM Monitoring; Process Monitoring; Inventory Monitoring; Exposes Elasticsearch API; Includes Kibana; Can be used with Grafana; Ability to correlate logs, metrics, and events; Alerting, Anomaly Detection; Integrations with numerous ChatOps services; Ship data with Logstash, Syslog, Fluentd, Beats, Logagent, etc.; Multi-user and RBAC support; Powerful search and filter functionality; Custom tags
Scalable data analysis tool; Fast data ingestion; Fast real-time queries on Big Data; IT Operations; Security Operations; Log Management; IoT Analytics; Business Analytics
Statistics
Stacks
18
Stacks
11
Followers
31
Followers
19
Votes
44
Votes
0
Pros & Cons
Pros
  • 5
    Centralized log management
  • 5
    ECS integration
  • 5
    Vercel integration
  • 5
    Easy to set up
  • 5
    Great filtering and grouping
No community feedback yet
Integrations
Fluentd
Fluentd
Cloud Foundry
Cloud Foundry
Cassandra
Cassandra
PagerDuty
PagerDuty
Solr
Solr
Apache Spark
Apache Spark
Azure Kubernetes Service
Azure Kubernetes Service
Ruby
Ruby
Elasticsearch
Elasticsearch
GitHub
GitHub
Amazon WorkSpaces
Amazon WorkSpaces
Perl
Perl
Wildfly
Wildfly
Lua
Lua
Nagios
Nagios
Oracle
Oracle
Linux
Linux
Microsoft Azure
Microsoft Azure
MongoDB
MongoDB
Python
Python

What are some alternatives to Sematext, Devo?

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.

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.

Sumo Logic

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.

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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