StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Devo vs sqs-s3-logger

Devo vs sqs-s3-logger

OverviewComparisonAlternatives

Overview

sqs-s3-logger
sqs-s3-logger
Stacks0
Followers8
Votes0
GitHub Stars178
Forks8
Devo
Devo
Stacks11
Followers19
Votes0

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

Developers describe sqs-s3-logger as "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. On the other hand, Devo is detailed as "* 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.

sqs-s3-logger and Devo can be primarily classified as "Log Management" tools.

sqs-s3-logger is an open source tool with 183 GitHub stars and 9 GitHub forks. Here's a link to sqs-s3-logger's open source repository on GitHub.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

sqs-s3-logger
sqs-s3-logger
Devo
Devo

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.

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.

-
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
GitHub Stars
178
GitHub Stars
-
GitHub Forks
8
GitHub Forks
-
Stacks
0
Stacks
11
Followers
8
Followers
19
Votes
0
Votes
0
Integrations
Amazon SQS
Amazon SQS
Amazon S3
Amazon S3
AWS Lambda
AWS Lambda
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 sqs-s3-logger, 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.

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.

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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana