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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Bigpanda vs New Relic

Bigpanda vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Bigpanda
Bigpanda
Stacks21
Followers55
Votes16

Bigpanda vs New Relic: What are the differences?

Introduction

Here, we will discuss the key differences between Bigpanda and New Relic.

  1. Data Aggregation: Bigpanda focuses on aggregating and correlating data from various tools and platforms, allowing users to gain a unified view of their IT operations. On the other hand, New Relic primarily focuses on application performance monitoring (APM) and provides detailed insights into application-level performance metrics.

  2. Scope: Bigpanda offers a broader scope by consolidating data from various sources, including monitoring tools, ticketing systems, and collaboration platforms, providing a holistic view of IT operations and enabling faster incident resolution. New Relic, on the other hand, primarily focuses on application-level monitoring, providing deep visibility into the performance of individual applications.

  3. Alert Management: Bigpanda provides advanced capabilities for managing and correlating alerts from various sources, reducing alert noise and enabling easier incident prioritization. New Relic, while also offering alerting features, primarily focuses on application-specific alerting, allowing users to set up alerts based on specific performance thresholds.

  4. Collaboration and Automation: Bigpanda emphasizes collaboration and automation by providing integrations with various collaboration tools and enabling streamlined incident response workflows. It allows teams to work together and automate manual processes, reducing mean time to resolution. New Relic, although it does offer integrations and automation capabilities, primarily focuses on monitoring and provides detailed performance metrics.

  5. Scalability and Customizability: Bigpanda is designed to handle large-scale IT environments and offers extensive customization options, allowing users to tailor the platform to their specific needs. New Relic, while also scalable and customizable, primarily focuses on application-level monitoring and may have limitations when it comes to handling complex IT infrastructures.

  6. Deployment and Licensing: Bigpanda is offered as a software-as-a-service (SaaS) solution, making it easy to deploy and manage. It typically follows a subscription-based licensing model. New Relic, on the other hand, can be deployed either on-premises or as a SaaS solution, providing flexibility in deployment options. Its licensing model also includes subscription-based options.

In Summary,

Bigpanda and New Relic differ in terms of their focus on data aggregation, scope, alert management, collaboration and automation, scalability and customizability, as well as deployment and licensing models.

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Advice on New Relic, Bigpanda

Medeti
Medeti

Jun 27, 2020

Needs adviceonAmazon EKSAmazon EKSKubernetesKubernetesAWS Elastic Load Balancing (ELB)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
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
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
New Relic
Bigpanda
Bigpanda

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.

Bigpanda helps you manage and respond to ops incidents faster. All your alerts: organized, assignable, trackable, snoozeable, and updated in real-time.

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
Issue tracking for ops;Reduce noisy alerts;Easy collaboration
Statistics
Stacks
22.7K
Stacks
21
Followers
8.7K
Followers
55
Votes
1.9K
Votes
16
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
    Expensive
  • 7
    Visualizations aren't very helpful
  • 5
    Hard to understand why things in your app are breaking
Pros
  • 7
    User interface, easy setup, analytics, integrations
  • 6
    Consolidates many systems into one
  • 2
    Correlation engine
  • 1
    Quick setup
Integrations
AppHarbor
AppHarbor
Cloudability
Cloudability
HP Cloud Compute
HP Cloud Compute
cloudControl
cloudControl
Papertrail
Papertrail
Loggly
Loggly
Ducksboard
Ducksboard
Blitz
Blitz
Pivotal Tracker
Pivotal Tracker
Red Hat OpenShift
Red Hat OpenShift
Nagios
Nagios
PagerDuty
PagerDuty
Amazon CloudWatch
Amazon CloudWatch
Puppet Labs
Puppet Labs
Pingdom
Pingdom
Chef
Chef
Capistrano
Capistrano
Jenkins
Jenkins
Ansible
Ansible

What are some alternatives to New Relic, Bigpanda?

Datadog

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!

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.

PagerDuty

PagerDuty

PagerDuty is an alarm aggregation and dispatching service for system administrators and support teams. It collects alerts from your monitoring tools, gives you an overall view of all of your monitoring alarms, and alerts an on duty engineer if there's a problem.

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.

VictorOps

VictorOps

VictorOps is a real-time incident management platform that combines the power of people and data to embolden DevOps teams so they can handle incidents as they occur and prepare for the next one.

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