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. Scalyr vs Serilog

Scalyr vs Serilog

OverviewComparisonAlternatives

Overview

Scalyr
Scalyr
Stacks40
Followers59
Votes12
Serilog
Serilog
Stacks2.1K
Followers107
Votes1
GitHub Stars7.8K
Forks840

Scalyr vs Serilog: What are the differences?

# Introduction
This Markdown code provides a comparison between Scalyr and Serilog, highlighting their key differences for better understanding.

1. **Log Storage**: Scalyr is a cloud-based log management solution that stores logs in its proprietary database for fast retrieval and analysis, while Serilog integrates with various storage options, such as databases, files, and cloud services, allowing more flexibility in log storage options.
2. **Querying Capabilities**: Scalyr provides a powerful search and query interface with advanced filtering and aggregation features, making it easy to analyze complex log data. On the other hand, Serilog relies on additional tools like Elasticsearch or Seq for querying log data effectively.
3. **Alerting System**: Scalyr offers built-in alerting mechanisms that can trigger notifications based on predefined criteria, enabling proactive monitoring and response to log events. In contrast, Serilog lacks a built-in alerting system and requires integration with third-party tools for implementing alerting functionality.
4. **Cost Structure**: Scalyr's pricing is based on data ingested per month, with higher costs for larger volumes of log data, while Serilog is an open-source logging library, making it cost-effective for organizations that have the resources for in-house implementation and maintenance.
5. **Integrations**: Scalyr provides out-of-the-box integrations with popular tools and platforms like AWS, Docker, and Kubernetes, facilitating seamless log data collection and analysis from various sources. Serilog, on the other hand, requires manual configuration or the use of plugins for integrating with different systems and services.
6. **Customization Options**: Scalyr offers a user-friendly interface with customizable dashboards and visualizations for monitoring log data in real-time, whereas Serilog focuses more on the logging framework itself, offering extensive customization options for log event formatting, filtering, and enrichment.

In Summary, the key differences between Scalyr and Serilog lie in log storage, querying capabilities, alerting systems, cost structure, integrations, and customization options.

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

Scalyr
Scalyr
Serilog
Serilog

Scalyr is log search and management so fast you actually use it. Custom dashboards, graphs, alerts and log parsers allow you to monitor what's important to you. We're proud to serve customers like Business Insider, Opendoor, and Grab.

It provides diagnostic logging to files, the console, and elsewhere. It is easy to set up, has a clean API, and is portable between recent .NET platforms.

Remote log monitoring; log aggregation; real-time reporting; custom alerts; custom dashboards; custom log parsers; user permissions; audit trails; log search and drill-down; custom metrics
Structured logging; .NET logger
Statistics
GitHub Stars
-
GitHub Stars
7.8K
GitHub Forks
-
GitHub Forks
840
Stacks
40
Stacks
2.1K
Followers
59
Followers
107
Votes
12
Votes
1
Pros & Cons
Pros
  • 7
    Speed of queries
  • 4
    Blazing fast logs search
  • 1
    Simple usage
Pros
  • 1
    It's a logging library
Cons
  • 1
    You can't compare this to seq
  • 1
    They are two different things
Integrations
HipChat
HipChat
Rackspace Cloud Servers
Rackspace Cloud Servers
Docker
Docker
Redis
Redis
Kubernetes
Kubernetes
Amazon Redshift
Amazon Redshift
Amazon RDS
Amazon RDS
PostgreSQL
PostgreSQL
Apache HTTP Server
Apache HTTP Server
MySQL
MySQL
.NET
.NET
C++
C++
LogRocket
LogRocket
ASP.NET
ASP.NET

What are some alternatives to Scalyr, Serilog?

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