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

Logmatic vs Logsene

OverviewComparisonAlternatives

Overview

Sematext
Sematext
Stacks18
Followers31
Votes44
Logmatic
Logmatic
Stacks66
Followers77
Votes238

Logmatic vs Logsene: What are the differences?

# Key Differences between Logmatic and Logsene

Logmatic and Logsene are both logging platforms, but they have some key differences that differentiate them.

1. **Data Collection**: Logmatic supports log data collection via sources like file, syslog, TCP, and UDP, while Logsene primarily focuses on log data collection through various agents and libraries.
2. **Data Storage**: Logmatic stores data in a single data cluster, allowing for centralized storage, while Logsene segments data across multiple clusters for better performance and security.
3. **Search and Analysis**: Logmatic provides real-time search and analysis capabilities, enabling users to monitor logs instantly, whereas Logsene offers advanced search features like field-level querying and faceted search.
4. **Alerting**: Logmatic has customizable alerting features based on log data patterns and anomalies, whereas Logsene provides alerting through integration with external monitoring tools.
5. **Pricing Structure**: Logmatic utilizes a pay-as-you-go pricing model based on data volume, with no upfront commitments required, while Logsene offers tiered pricing plans based on storage capacity and features included.
6. **Integration Options**: Logmatic offers integrations with various third-party tools and services for seamless data flow, whereas Logsene provides direct integrations with specific monitoring and analytics platforms.

In Summary, Logmatic and Logsene differ in data collection methods, storage architecture, search capabilities, alerting features, pricing models, and integration options.

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Detailed Comparison

Sematext
Sematext
Logmatic
Logmatic

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

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.

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
Easy Set Up: Just send us any type of logs - front to back - machine events, or metrics and we will do the powerful processing. No Logmatic.io agent; Enrichment & Parsing: Automatic recognition, Customisable grok parsers, Integrated IP geolocation and user-agent parsing; Investigation: Faceted and full-text granular searches, Real-time search results; Monitoring: Real-time, customizable log analyses, Clickable dashboards, powerful data vizualization; Alerting: via email, Slack, pagerduty, hipchat, webhook. Create highly flexible alerts based on your logs analyses with search queries or metrics, and user-defined thresholds
Statistics
Stacks
18
Stacks
66
Followers
31
Followers
77
Votes
44
Votes
238
Pros & Cons
Pros
  • 5
    Vercel integration
  • 5
    Centralized log management
  • 5
    Easy to set up
  • 5
    ECS integration
  • 5
    Great filtering and grouping
Pros
  • 35
    Powerful Data Vizualization
  • 31
    Live search
  • 30
    Super reactive interface
  • 28
    Amazing support team
  • 27
    Real-time alerts on slack
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
Segment
Segment
AWS CloudTrail
AWS CloudTrail
PagerDuty
PagerDuty
Heroku
Heroku
Docker
Docker
Slack
Slack
Rails
Rails
Java
Java
Golang
Golang
Android SDK
Android SDK

What are some alternatives to Sematext, Logmatic?

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.

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.

LogDNA

LogDNA

The easiest log management system you will ever use! LogDNA is a cloud-based log management system that allows engineering and devops to aggregate all system and application logs into one efficient platform. Save, store, tail and search app

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