Software Alternatives, Accelerators & Startups

LinearB VS Netdata

Compare LinearB VS Netdata and see what are their differences

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LinearB logo LinearB

LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.

Netdata logo Netdata

Monitor your servers, containers, and applications, in high-resolution and in real-time.
  • LinearB Landing page
    Landing page //
    2023-08-19
  • Netdata Landing page
    Landing page //
    2022-02-16

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

Scales nicely from a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments & given enough disk space it can keep your metrics for years.

KEY FEATURES:

๐Ÿ’ฅ Collects metrics from 800+ integrations OS metrics, container metrics, VMs, hardware sensors, apps metrics, OpenMetrics exporters, StatsD & logs.

๐Ÿ’ช Real-Time, Low-Latency, High-Resolution All metrics are collected per second & are on the dashboard immediately after data collection. Netdata is fast.

๐Ÿ˜ถโ€๐ŸŒซ๏ธ Unsupervised Anomaly Detection Trains multiple ML models for each metric collected & detects anomalies based on the past behavior of each metric individually.

๐Ÿ”ฅ Powerful Visualization Clear & precise visualization that allows you to quickly understand any dataset, but also to filter, slice & dice the data directly on the dashboard, without the need to learn any query language.

๐Ÿ”” Out of box Alerts Hundreds of alerts out of the box to detect common issues & pitfalls, revealing issues that can easily go unnoticed. It supports several notification methods to let you know when your attention is needed.

๐Ÿ“– systemd Journal Logs Explorer (BETA - nightly release channel) Provides a systemd journal logs explorer, to view, filter & analyze system & apps logs by directly accessing systemd journal files on individual hosts & infrastructure-wide logs centralization servers.

๐Ÿ˜Ž Low Maintenance Fully automated in every aspect: automated dashboards, out-of-the-box alerts, auto-detection & discovery of metrics, zero-touch ML, easy scalability, high availability &CI/CD friendly.

โญ Open & Extensible Netdata is a modular platform that can be extended in all possible ways and it also integrates nicely with other monitoring solutions.

Netdata

$ Details
freemium $3 / Monthly (Netdata Pro, $3 /Node /mo - Netdata Business, $4 /Node /mo )
Platforms
Linux Docker AWS Azure Mac OSX Cloud Windows Edge NGINX Oracle
Release Date
2018 June

LinearB features and specs

  • Integration with Existing Tools
    LinearB integrates seamlessly with popular project management and communication tools like Jira, GitHub, Slack, and Bitbucket, making it easier to adopt without changing the existing workflow.
  • Real-time Metrics
    Provides real-time visibility into the software development lifecycle, allowing teams to gain insights and take immediate action to improve development processes.
  • Automated Analytics
    Automates the collection and analysis of data, reducing the manual effort required to gather metrics and allowing teams to focus on decision-making and improvements.
  • Workflow Optimization
    Offers features to identify bottlenecks and inefficiencies in the development process, enabling teams to streamline workflows and improve productivity.
  • Developer Metrics
    Includes metrics specifically for developers, such as code quality scores, pull request review times, and activity reports, to help individual contributors understand and enhance their performance.

Possible disadvantages of LinearB

  • Learning Curve
    Although the tool integrates well with other platforms, there is a learning curve associated with understanding and utilizing all of its features effectively.
  • Potential Overload of Metrics
    The extensive array of metrics and data presented can be overwhelming for teams not accustomed to such detailed analytics, potentially causing decision paralysis.
  • Cost
    The pricing structure might be expensive for small teams or startups, especially when compared to other simpler project management or analytics tools.
  • Dependency on Data Integration
    The effectiveness of LinearB largely depends on the quality and comprehensiveness of the data integrated from other tools. Inconsistent or incomplete data can hamper its utility.
  • Privacy Concerns
    Given the level of detail and access required, there might be concerns around data privacy and the handling of sensitive project information, especially in heavily regulated industries.

Netdata features and specs

  • Dashboards & visualizations
    Digestible, intuitive, and visually appealing charts for troubleshooting.
  • Configurable
    Zero configuration. Zero maintenance. No preparations. Sane defaults. Auto-detection for all metrics. Immediately usable.
  • Metrics
    Netdata collects, stores and visualizes all the metrics available. We almost never filter out metrics. The more metrics, the better.
  • Real time monitoring
    Netdata is real-time. It collects all metrics every second and it has a data collection to visualization latency of less than a millisecond.
  • Analytics and Reporting
    Detailed analysis on how applications and systems are performing

Analysis of LinearB

Overall verdict

  • LinearB is generally considered a good tool for teams looking to improve their development workflows. It receives positive feedback for its ability to provide actionable insights and its user-friendly interface. However, as with any tool, its effectiveness can vary depending on the specific needs and context of the development team.

Why this product is good

  • LinearB is a tool that provides real-time insights into software development processes. It enhances productivity by offering metrics, workflow automation, and project visibility, which help in making data-driven decisions. The platform is designed to streamline development pipelines, ensuring teams can identify bottlenecks quickly and optimize their work processes.

Recommended for

    LinearB is recommended for software development teams, engineering managers, and project managers who want to improve visibility into their development processes, reduce cycle times, and boost overall productivity. It's particularly useful for teams that rely on agile methodologies and need to continuously monitor and improve their workflow efficiency.

Analysis of Netdata

Overall verdict

  • Yes, Netdata is generally regarded as a valuable tool for system monitoring and troubleshooting. It is praised for its speed, ease of use, and detailed insights, making it an effective solution for diverse monitoring needs.

Why this product is good

  • Netdata is considered good because it provides real-time monitoring and troubleshooting of systems. It offers detailed insights with minimal resource consumption, and features a user-friendly interface, making it accessible for both technical and non-technical users. Its open-source nature allows for customization and integration with other data sources, enhancing its capabilities.

Recommended for

  • IT professionals who need real-time system diagnostics
  • DevOps teams seeking efficient monitoring tools
  • Small to medium enterprises looking for cost-effective monitoring solutions
  • Open-source enthusiasts who prefer customizable software
  • Organizations that require scalable monitoring solutions across different environments

LinearB videos

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Netdata videos

Install Netdata on Linux in two minutes

More videos:

  • Tutorial - Netdata's standard dashboard

Category Popularity

0-100% (relative to LinearB and Netdata)
Data Dashboard
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Developer Tools
100 100%
0% 0
Performance Monitoring
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare LinearB and Netdata

LinearB Reviews

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Netdata Reviews

The Best Cacti Monitoring Alternatives
Netdata gives you access to sublime real-time health and performance monitoring for all your systems. The Netdata GitHub community has made its growth abundantly clear throughout its last six years of active development.
10 Best Open Source Monitoring Software for IT Infrastructure
Netdata provides unparalleled real-time health monitoring and performance troubleshooting for systems and applications. Over the past six years of development, Netdataโ€™s GitHub community has been essential to its growth.
Source: geekflare.com
4 Best Open Source Dashboard Monitoring Tools In 2019
โ€œPullโ€ method : you can set Netdata to run on individual nodes and plug your dashboards directly to it. This way, you can scale your node to your needs and you are not concerned about the scaling of different nodes. Also, storage is scoped to whatโ€™s really needed by a particular node thus more efficient;

Social recommendations and mentions

Based on our record, LinearB should be more popular than Netdata. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

LinearB mentions (28)

  • The top 15 developer productivity tools in 2026
    LinearB is an engineering productivity platform that provides visibility into developer workflows, automation, and process metrics. It collects data across the entire development lifecycle to diagnose blockers and optimize delivery. One user reports saving 321 developer-hours per month. - Source: dev.to / 3 months ago
  • Developer Productivity vs Developer Experience: Why You Can't Fix One Without the Other
    Most tools measure half the picture. Traditional metrics platforms like LinearB focus on quantitative signals (DORA metrics, cycle time). Survey platforms like Culture Amp capture sentiment across organizations but aren't developer-specific. DX (founded by DORA/SPACE research creators) combines developer surveys with SDLC analytics. These approaches require deliberate implementation and buy-in. - Source: dev.to / 8 months ago
  • ๐ŸฆŠ GitLab: A Python Script Calculating DORA Metrics
    LinearB is a SaaS solution that retrieves metrics overtime, some of them being used to calculate DORA Metrics. They also have a Youtube channel that advocate for DORA Metrics and more. - Source: dev.to / over 2 years ago
  • 6 Proven Strategies For Being A Great Platform Engineer
    In helping engineering orgs get visibility into developer workflows with LinearB, Dan Lines and Ori Keren discovered that the majority of cycle time was being spent in pull request and code review. They found that:. - Source: dev.to / about 3 years ago
  • How to consolidate metrics from across the entire organisation
    LinearB and there are a few cheaper alternatives. Ties in DORA metrics from gut repos and agile project management tools like JIRA. https://linearb.io. Source: about 3 years ago
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Netdata mentions (6)

  • From Netdata Inspiration to SaaS MVP: Server Monitoring with Bun + Claude Code Opus 4.6
    If you've ever set up Netdata, you know that feeling โ€” hundreds of real-time charts, per-second granularity, metrics you didn't even know your kernel exposed. It's a wonderful piece of software, genuinely one of the best open-source monitoring tools out there. - Source: dev.to / 4 months ago
  • Trying to decide best practices for production environment
    Pros are instant HA and Migration. Cons are huge bandwidth hits. With your 4x1gbe you would be maxed out on replicating those 25 VMs. You wouldn't have anything for users. I have a test lab with 4 nodes, 22cpu 100gbram and 30tb space, using low end stuff, 12hdds. Proxmox, ceph dashboard, (the native ceph dashboard you can turn on), and a netdata.cloud account. So I watch it like a hawk and like to load test. Source: over 3 years ago
  • Ask HN: Reducing the maintenance surface area of hosting a small internal app
    Docker-compose, not k8s. Set up a script to update the OS, pull all your containers and reboot after hours once a week or once a day. Make sure the script specifies non interactive. Set up alerting for low disk space, see https://netdata.cloud or use your own tool. - Source: Hacker News / over 4 years ago
  • Whatโ€™s your preferred stack?
    There can be some issues if you mix and match elastic versions, wazuh versions, logstash versions. But the documentation guides you very well with matrix of what is and is not compatible. You will want a beefy VM to run it in, I started smaller than I should of, and after running a while it kind of puked on itself, certain things would randomly stop working. After giving it 32GB RAM, plenty of disk 4TB, and 8... Source: almost 5 years ago
  • Netdata on MacOS
    $ brew info netdata Netdata: stable 1.29.3 (bottled) Diagnose infrastructure problems with metrics, visualizations & alarms Https://netdata.cloud/ Not installed From: https://github.com/Homebrew/homebrew-core/blob/HEAD/Formula/netdata.rb License: GPL-3.0-or-later ==> Dependencies Build: autoconf โœ˜, automake โœ˜, pkg-config โœ” Required: json-c โœ˜, libuv โœ˜, lz4 โœ˜, openssl@1.1 โœ” ==> Caveats To start netdata: brew... Source: almost 5 years ago
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What are some alternatives?

When comparing LinearB and Netdata, you can also consider the following products

Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.

Zabbix - Track, record, alert and visualize performance and availability of IT resources

Swarmia - Swarmia is an engineering productivity software trusted by 600+ engineering teams worldwide. Use key engineering metrics to unblock the flow, align engineering with business objectives, and drive continuous improvement.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.

Nagios - Complete monitoring and alerting for servers, switches, applications, and services