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

Blackfire.io vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Blackfire.io
Blackfire.io
Stacks66
Followers67
Votes14

Blackfire.io vs New Relic: What are the differences?

Introduction

Blackfire.io and New Relic are both performance monitoring tools used in web development. While they both offer similar features, there are some key differences that set them apart.

  1. Pricing Model: Blackfire.io offers flexible pricing options, allowing users to choose between monthly or annual subscriptions. On the other hand, New Relic follows a usage-based pricing model, where users pay based on the number of hosts or user sessions they monitor. This difference in pricing models gives users the freedom to choose the most suitable option for their specific needs.

  2. Focus on Performance: Blackfire.io primarily focuses on performance tuning and optimization. It provides detailed insights into application performance, including code profiling, request analysis, and performance comparisons. New Relic, on the other hand, offers a broader range of monitoring capabilities, including infrastructure monitoring, error tracking, and application performance monitoring. While both tools have performance monitoring features, Blackfire.io provides a more focused and in-depth analysis of application performance.

  3. Integration and Platform Support: New Relic supports a wide range of programming languages and platforms, including Java, .NET, Ruby, Python, and more. It also offers integrations with popular frameworks and cloud platforms. On the other hand, Blackfire.io has deeper integration with PHP and Symfony, providing specific features and optimizations for PHP applications. Blackfire.io also supports other programming languages like Python and Golang but with more limited features compared to New Relic.

  4. User Interface and Ease of Use: New Relic offers a user-friendly and intuitive interface with a wide range of dashboards and visualizations. It provides a comprehensive overview of performance metrics and allows users to easily navigate and analyze the data. Blackfire.io has a more specialized and developer-centric interface, focusing on detailed code-level analysis and profiling. It may have a steeper learning curve for users who are not familiar with performance profiling.

  5. Deployment Options: New Relic offers both hosted and on-premises deployment options. Users can choose to use New Relic's cloud-based platform or deploy their own New Relic agents on their infrastructure. Blackfire.io, on the other hand, is primarily a cloud-based service. It offers easy integration with popular cloud platforms and eliminates the need for additional infrastructure setup. This difference in deployment options provides users with flexibility and choice based on their specific requirements.

  6. Community and Support: New Relic has a larger and more established community, with a vast knowledge base and active user forums. It also provides comprehensive documentation and support resources. Blackfire.io, while not as large as New Relic's community, has a dedicated community of developers and provides extensive documentation and support. Both tools offer support channels, including email, live chat, and phone support, ensuring users can get assistance when needed.

In summary, Blackfire.io and New Relic are performance monitoring tools with key differences in pricing models, focus on performance, integration options, user interface, deployment choices, and community support. These differences allow users to choose the tool that best fits their needs, whether they require a more focused performance analysis or a broader range of monitoring capabilities.

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Advice on New Relic, Blackfire.io

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
Blackfire.io
Blackfire.io

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.

Monitor, profile and test your application even before it is released in production. Get actionable insights to improve your code rather than spend time figuring out what’s wrong. Ensure optimal performance and user experience for your web

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 HTTP and CLI; Alerting; Profiling Web Pages, CLI scripts, API Calls; Timeline & Callgraph visualizations; Wall Time, CPU, I/O, Memory, Network, HTTP calls, SQL requests dimensions; Distributed Profiling; Assertions; Profiling Automations; Integrations with CI/CD; Periodic profiling; Test reports; Performance, Quality & Security Checks; Supports all PHP versions from 5.3, Python 2.7 and 3.x, , Go 1.9 and higher; PHP, Python and Go SDK
Statistics
Stacks
22.7K
Stacks
66
Followers
8.7K
Followers
67
Votes
1.9K
Votes
14
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
    Deep insights into PHP request cycle
  • 5
    Performance profiling
  • 2
    Intuitive UI
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
GitLab
GitLab
GitHub
GitHub
Bitbucket
Bitbucket
Firefox
Firefox
Fastly
Fastly
Postman
Postman
Chef
Chef
Typo3
Typo3
Django CMS
Django CMS
HipChat
HipChat

What are some alternatives to New Relic, Blackfire.io?

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.

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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