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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Datadog vs SigNoz

Datadog vs SigNoz

OverviewComparisonAlternatives

Overview

Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861
SigNoz
SigNoz
Stacks18
Followers38
Votes2
GitHub Stars24.2K
Forks1.8K

Datadog vs SigNoz: What are the differences?

Introduction:

In this article, we will compare and provide the key differences between Datadog and SigNoz, two popular observability platforms.

  1. Integration and support for different monitoring tools: Datadog is known for its extensive integration capabilities, offering integrations with a wide range of monitoring tools and services, including AWS, Azure, Kubernetes, and many more. SigNoz, on the other hand, is focused on supporting OpenTelemetry and Jaeger for distributed tracing. While Datadog has a broader range of integrations, SigNoz specializes in providing comprehensive support for specific monitoring tools.

  2. Pricing and cost structure: Datadog follows a subscription-based pricing model, which can be expensive for small to mid-sized businesses. They charge based on the number of hosts, containers, and custom metrics. SigNoz, on the other hand, offers a free and open-source version along with a paid enterprise version. This difference in pricing structures can make SigNoz a more cost-effective option for some organizations.

  3. Ease of use and user interface: Datadog provides a user-friendly interface with a polished and intuitive dashboard. It offers a wide range of pre-built visualizations and customizable widgets, making it easy for users to navigate and analyze data. SigNoz, being an open-source platform, may require more manual configuration and setup. While it provides powerful features, it may have a steeper learning curve and might be more suitable for users with more technical expertise.

  4. Alerting and notification capabilities: Datadog offers a comprehensive alerting system with various notification options like email, SMS, and integrations with tools like Slack and PagerDuty. It allows users to set up complex alert conditions based on metrics, logs, and traces. SigNoz, being an emerging platform, has basic alerting capabilities for specific use cases. However, it may lack some advanced features and integrations provided by Datadog.

  5. Customization and extensibility: Datadog provides a robust platform for customization, allowing users to create custom metrics, dashboards, and even build their own integrations using APIs. It also supports custom alerting and anomaly detection. SigNoz, while being open-source, offers limited customization options compared to Datadog. It may require more manual development effort to extend its capabilities.

  6. Community and support: Datadog has a large and active community, making it easier to find resources, tutorials, and community-driven integrations. They offer comprehensive documentation and prompt support through different channels like email and chat. SigNoz, being relatively new, may have a smaller community and fewer available resources. However, they provide community support forums and actively encourage contribution from the open-source community.

In Summary, Datadog offers broader integrations, a polished user interface, and extensive customization options, while SigNoz is focused on supporting specific monitoring tools, offers cost-effective pricing plans, and encourages open-source collaboration. Organizations should consider their specific monitoring needs and budget constraints to choose between these two platforms.

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Detailed Comparison

Datadog
Datadog
SigNoz
SigNoz

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

SigNoz is an open-source application performance monitoring tool(APM) tool. It helps developers monitor their application and troubleshoot problems. It can be self-hosted, so it's a great tool for privacy focused companies.

14-day Free Trial for an unlimited number of hosts;200+ turn-key integrations for data aggregation;Clean graphs of StatsD and other integrations;Slice and dice graphs and alerts by tags, roles, and more;Easy-to-use search for hosts, metrics, and tags;Alert notifications via e-mail and PagerDuty;Receive alerts on any metric, for a single host or an entire cluster;Full API access in more than 15 languages;Overlay metrics and events across disparate sources;Out-of-the-box and customizable monitoring dashboards;Easy way to compute rates, ratios, averages, or integrals;Sampling intervals of 10 seconds;Mute all alerts with 1 click during upgrades and maintenance;Tools for team collaboration
Application overview metrics like requests per second, latency and error rates; Slowest endpoints in your application; See exact request trace to figure out issues in downstream services, slow DB queries, call to 3rd party services like payment gateways, etc.; Filter traces by service name, operation, latency, error, tags/annotations; Aggregate metrics on filtered traces. Eg, you can get error rate and 99th percentile latency of customer_type: gold or deployment_version: v2 or external_call: Paypal; Customized dashboard for infrastructure monitoring; Alert setting on metrics; Unified UI for metrics and traces. No need to switch from Prometheus to Jaeger to debug issues
Statistics
GitHub Stars
-
GitHub Stars
24.2K
GitHub Forks
-
GitHub Forks
1.8K
Stacks
9.8K
Stacks
18
Followers
8.2K
Followers
38
Votes
861
Votes
2
Pros & Cons
Pros
  • 140
    Monitoring for many apps (databases, web servers, etc)
  • 107
    Easy setup
  • 87
    Powerful ui
  • 84
    Powerful integrations
  • 70
    Great value
Cons
  • 20
    Expensive
  • 4
    No errors exception tracking
  • 2
    External Network Goes Down You Wont Be Logging
  • 1
    Complicated
Pros
  • 1
    Open Source
  • 1
    Based on OpenTelemetry
Integrations
NGINX
NGINX
Google App Engine
Google App Engine
Apache HTTP Server
Apache HTTP Server
Java
Java
Docker
Docker
Pingdom
Pingdom
MySQL
MySQL
Ruby
Ruby
Python
Python
Memcached
Memcached
OpenTelemetry
OpenTelemetry
Clickhouse
Clickhouse
Docker
Docker
Kubernetes
Kubernetes

What are some alternatives to Datadog, SigNoz?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Stackify

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Skylight

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Librato

Librato

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Keymetrics

Keymetrics

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

Dynatrace

Dynatrace

It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.

SignalFx

SignalFx

We provide operational intelligence for today’s elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data

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