Logsene vs sqs-s3-logger

Overview

Sematext

Stacks18

Followers31

Votes44

sqs-s3-logger

Stacks0

Followers8

Votes0

GitHub Stars178

Forks8

Logsene vs sqs-s3-logger: What are the differences?

What is 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.

What is sqs-s3-logger? Serverless logging to S3. A library to persist messages on S3 using serverless architecture. It is mainly targeted at cheaply archiving low-volume, sporadic events from applications without a need to spin additional infrastructure.

Logsene and sqs-s3-logger belong to "Log Management" category of the tech stack.

sqs-s3-logger is an open source tool with 182 GitHub stars and 9 GitHub forks. Here's a link to sqs-s3-logger's open source repository on GitHub.

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Auditum

Log Management

Audit log management system for any application

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Detailed Comparison

Sematext	sqs-s3-logger
Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.	A library to persist messages on S3 using serverless architecture. It is mainly targeted at cheaply archiving low-volume, sporadic events from applications without a need to spin additional infrastructure.
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	-
Statistics
GitHub Stars -	GitHub Stars 178
GitHub Forks -	GitHub Forks 8
Stacks 18	Stacks 0
Followers 31	Followers 8
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 Cloud Foundry Cassandra PagerDuty Solr Apache Spark Azure Kubernetes Service Ruby Elasticsearch GitHub	Amazon SQS Amazon S3 AWS Lambda

What are some alternatives to Sematext, sqs-s3-logger?

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.

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.