New Relic vs Stackdriver

Overview

New Relic

Stacks22.7K

Followers8.7K

Votes1.9K

Stackdriver

Stacks318

Followers349

Votes67

New Relic vs Stackdriver: What are the differences?

Introduction: New Relic and Stackdriver are two popular cloud-based monitoring services used to track the performance and health of applications and infrastructure. While both tools offer similar functionality, there are several key differences between them that are worth noting.

Pricing Model: New Relic offers a tiered pricing model based on the number of compute units, allowing users to select the level of monitoring they require. On the other hand, Stackdriver offers a pay-as-you-go pricing model based on the volume of data ingested and stored, providing flexibility for users with varying monitoring needs.
Integration Ecosystem: New Relic has a wider range of integrations available, including popular tools like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Stackdriver, however, has a advantage in terms of its deep integration with GCP services, providing detailed monitoring and diagnostics specifically tailored for GCP environments.
Alerting Capabilities: New Relic offers advanced alerting capabilities, allowing users to set up complex alert conditions and trigger notifications via various channels, such as email, SMS, and chat tools. Stackdriver also provides robust alerting features, but its integration with other Google tools (such as PagerDuty and Slack) makes it more seamless for users already leveraging Google's ecosystem.
Visualization and Dashboards: New Relic provides a highly customizable and interactive dashboard, allowing users to create visually appealing graphics and charts. It offers a drag-and-drop functionality to build personalized dashboards. In contrast, Stackdriver offers out-of-the-box dashboards with pre-built widgets and templates, which make it easier for users to quickly set up and visualize their monitoring data.
Log Management: New Relic focuses primarily on application performance monitoring (APM) and infrastructure monitoring, but it also provides basic log management functionality. Stackdriver, on the other hand, offers more robust log management capabilities, allowing users to collect, analyze, and search log data in real-time, making it more suitable for users with extensive logging requirements.
Analytics and Machine Learning: Stackdriver leverages Google Cloud's powerful analytics and machine learning capabilities, enabling users to gain insights and detect anomalies in their monitoring data using advanced algorithms. New Relic offers some level of anomaly detection, but it does not have the same level of machine learning capabilities as Stackdriver.

In summary, key differences between New Relic and Stackdriver include their pricing models, integration ecosystems, alerting capabilities, visualization and dashboard features, log management functionality, and analytics and machine learning capabilities.

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Advice on New Relic, Stackdriver

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

Benoit

Principal Engineer at Sqreen

Sep 17, 2019

Decided

I chose Datadog APM because the much better APM insights it provides (flamegraph, percentiles by default).

The drawbacks of this decision are we had to move our production monitoring to TimescaleDB + Telegraf instead of NR Insight

NewRelic is definitely easier when starting out. Agent is only a lib and doesn't require a daemon

457k views457k

Comments

Attila

Founder at artkonekt

Mar 24, 2020

Decided

I haven't heard much about Datadog until about a year ago. Ironically, the NewRelic sales person who I had a series of trainings with was trash talking about Datadog a lot. That drew my attention to Datadog and I gave it a try at another client project where we needed log handling, dashboards and alerting.

In 2019, Datadog was already offering log management and from that perspective, it was ahead of NewRelic. Other than that, from my perspective, the two tools are offering a very-very similar set of tools. Therefore I wouldn't say there's a significant difference between the two, the decision is likely a matter of taste. The pricing is also very similar.

The reasons why we chose Datadog over NewRelic were:

The presence of log handling feature (since then, logging is GA at NewRelic as well since falls 2019).
The setup was easier even though I already had experience with NewRelic, including participation in NewRelic trainings.
The UI of Datadog is more compact and my experience is smoother.
The NewRelic UI is very fragmented and New Relic One is just increasing this experience for me.
The log feature of Datadog is very well designed, I find very useful the tagging logs with services. The log filtering is also very awesome.

Bottom line is that both tools are great and it makes sense to discover both and making the decision based on your use case. In our case, Datadog was the clear winner due to its UI, ease of setup and the awesome logging and alerting features.

471k views471k

Comments

Detailed Comparison

New Relic	Stackdriver
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.	Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.
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	Monitoring;Logging;Diagnostics;Application Tracing;Error Reporting;Alerting;Uptime Monitoring;Multi-cloud;Production Debugger;
Statistics
Stacks 22.7K	Stacks 318
Followers 8.7K	Followers 349
Votes 1.9K	Votes 67
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 19 Monitoring 11 Logging 8 Alerting 7 Tracing 6 Uptime Monitoring Cons 2 Not free
Integrations
AppHarbor Cloudability HP Cloud Compute cloudControl Papertrail Loggly Ducksboard Blitz Pivotal Tracker Red Hat OpenShift	No integrations available

What are some alternatives to New Relic, Stackdriver?

Datadog

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!

Amazon CloudWatch

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

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

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

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

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

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.

Related Comparisons

New Relic vs Stackdriver: What are the differences?

Pricing Model: New Relic offers a tiered pricing model based on the number of compute units, allowing users to select the level of monitoring they require. On the other hand, Stackdriver offers a pay-as-you-go pricing model based on the volume of data ingested and stored, providing flexibility for users with varying monitoring needs.
Integration Ecosystem: New Relic has a wider range of integrations available, including popular tools like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Stackdriver, however, has a advantage in terms of its deep integration with GCP services, providing detailed monitoring and diagnostics specifically tailored for GCP environments.
Alerting Capabilities: New Relic offers advanced alerting capabilities, allowing users to set up complex alert conditions and trigger notifications via various channels, such as email, SMS, and chat tools. Stackdriver also provides robust alerting features, but its integration with other Google tools (such as PagerDuty and Slack) makes it more seamless for users already leveraging Google's ecosystem.
Visualization and Dashboards: New Relic provides a highly customizable and interactive dashboard, allowing users to create visually appealing graphics and charts. It offers a drag-and-drop functionality to build personalized dashboards. In contrast, Stackdriver offers out-of-the-box dashboards with pre-built widgets and templates, which make it easier for users to quickly set up and visualize their monitoring data.
Log Management: New Relic focuses primarily on application performance monitoring (APM) and infrastructure monitoring, but it also provides basic log management functionality. Stackdriver, on the other hand, offers more robust log management capabilities, allowing users to collect, analyze, and search log data in real-time, making it more suitable for users with extensive logging requirements.
Analytics and Machine Learning: Stackdriver leverages Google Cloud's powerful analytics and machine learning capabilities, enabling users to gain insights and detect anomalies in their monitoring data using advanced algorithms. New Relic offers some level of anomaly detection, but it does not have the same level of machine learning capabilities as Stackdriver.

New Relic vs Stackdriver

Overview