Overview

New Relic

Stacks21.0K

Followers8.7K

Votes1.9K

Datadog

Stacks9.6K

Followers8.2K

Votes861

Sysdig

Stacks80

Followers150

Votes15

GitHub Stars8.1K

Forks748

Datadog vs New Relic vs Sysdig: What are the differences?

# Key Differences Between Datadog, New Relic, and Sysdig

Datadog, New Relic, and Sysdig are popular monitoring tools used in IT operations. Each platform has its strengths and weaknesses. In this comparison, we will focus on the key differences between Datadog, New Relic, and Sysdig.

1. **Monitoring Capabilities**: Datadog specializes in infrastructure monitoring, application performance monitoring, and log management. New Relic primarily focuses on application performance monitoring with deep insights into code-level performance. Sysdig, on the other hand, is known for its container monitoring capabilities and deep visibility into containerized environments.

2. **Alerting Mechanisms**: Datadog offers robust alerting mechanisms, allowing users to set up custom alerts based on metrics, events, and anomalies. New Relic also provides alerting functionalities but with a stronger focus on application performance metrics. Sysdig excels in real-time alerting for container orchestration platforms like Kubernetes and Docker.

3. **Integration and Ecosystem**: Datadog has a wide range of integrations with popular services and platforms, making it easy to collect and analyze data from various sources. New Relic offers seamless integrations with cloud providers like AWS, Azure, and Google Cloud. Sysdig integrates well with container orchestration tools such as Kubernetes, making it a go-to choice for containerized environments.

4. **Scalability and Pricing**: Datadog boasts impressive scalability, making it suitable for small startups to large enterprises. New Relic's pricing model can be more expensive for larger organizations with high capacities. Sysdig's pricing is competitive and provides good value for organizations heavily invested in containerization.

5. **Security and Compliance**: Datadog has strong security features like TLS encryption, IAM roles, and audit logs for compliance. New Relic ensures data privacy by anonymizing sensitive information and offering role-based access controls. Sysdig offers container security features for monitoring vulnerabilities and compliance regulations specific to containers.

6. **User Interface and UX**: Datadog provides a user-friendly interface with customizable dashboards for visualizing data insights. New Relic offers a clean and intuitive UX, focusing on providing actionable insights for developers and operations teams. Sysdig's interface is tailored for DevOps teams, offering in-depth container analytics and troubleshooting capabilities.

In Summary, Datadog, New Relic, and Sysdig cater to different monitoring needs, with Datadog excelling in infrastructure and application monitoring, New Relic focusing on application performance insights, and Sysdig standing out for container monitoring and security features.

Advice on New Relic, Datadog, Sysdig

Raja Subramaniam

Aug 27, 2019

Needs adviceon

Prometheus

Kubernetes

Sysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k

Comments

Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceon

Datadog

Dynatrace

AppDynamics

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

1.59M views1.59M

Comments

Medeti

Jun 27, 2020

Needs adviceon

Amazon EKS

Kubernetes

AWS Elastic Load Balancing (ELB)

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

1.51M views1.51M

Comments

Detailed Comparison

New Relic	Datadog	Sysdig
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.	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!	Sysdig is open source, system-level exploration: capture system state and activity from a running Linux instance, then save, filter and analyze. Sysdig is scriptable in Lua and includes a command line interface and a powerful interactive UI, csysdig, that runs in your terminal. Think of sysdig as strace + tcpdump + htop + iftop + lsof + awesome sauce. With state of the art container visibility on top.
Performance Data Retention;Real-User Response Time, Throughput, & Breakdown by Layer;App Response Time, Throughput, & Breakdown by Component;App Availability Monitoring, Alerting, and Notification;Automatic Application Topology Mapping;Server Resource and Availability Monitoring;Error Detection, Alerting, & Analysis;JVM Performance Analyzer;Database Call Response Time & Throughput;Performance Data API Access;Code Level Diagnostics, Transaction Tracing, & Stack Trace Details;Slow SQL and SQL Performance Details;Real-User Breakdown by Web Page, Browser, & Geography;Track Individual Key Transactions;Mobile Features- Alerting, Summary Data, Overview Page, Topo Map, HTTP Requests, HTTP Error Summary, HTTP Error Detail, Versions, Carriers, Devices, Geo Map	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	Real-Time Dashboard; Historical Replay; Dynamic Topology; Intelligent Alerting
Statistics
GitHub Stars -	GitHub Stars -	GitHub Stars 8.1K
GitHub Forks -	GitHub Forks -	GitHub Forks 748
Stacks 21.0K	Stacks 9.6K	Stacks 80
Followers 8.7K	Followers 8.2K	Followers 150
Votes 1.9K	Votes 861	Votes 15
Pros & Cons
Pros 414 Easy setup 344 Really powerful 245 Awesome visualization 194 Ease of use 151 Great ui Cons 20 Pricing model doesn't suit microservices 10 UI isn't great 7 Visualizations aren't very helpful 7 Expensive 5 Hard to understand why things in your app are breaking	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 5 Monitoring 5 Powerful web app 5 Easy setup
Integrations
AppHarbor Cloudability HP Cloud Compute cloudControl Papertrail Loggly Ducksboard Blitz Pivotal Tracker Red Hat OpenShift	NGINX Google App Engine Apache HTTP Server Java Docker Pingdom MySQL Ruby Python Memcached	Docker

What are some alternatives to New Relic, Datadog, Sysdig?

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

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.

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

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.

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

AppDynamics

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

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.