Software Alternatives, Accelerators & Startups

LinearB VS Stormly

Compare LinearB VS Stormly and see what are their differences

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.

Stormly logo Stormly

Product Analytics built for E-Commerce Teams ๐Ÿ›๏ธ
  • LinearB Landing page
    Landing page //
    2023-08-19
  • Stormly Landing page
    Landing page //
    2023-06-22

Most brands already have analytics tools, but they still spend hours pulling reports, slicing dashboards, and copying numbers into Excel to guess whatโ€™s really happening. By the time insights are clear, itโ€™s often too late to act.

Stormly changes that. Think of it as an AI analyst in your team. It continuously monitors your store data, detects anomalies and trends, explains why they happen, and delivers clear, actionable recommendations straight to your inbox. That means youโ€™ll know the same day if mobile conversions in Spain are dropping due to a checkout bug, or if a new product launch isnโ€™t performing as expected. Your team can act in hours, not days.

With Stormly, you get: โœ“ AI Agent that sends you insights before you even ask โœ“ Dashboards to dive deeper when you want to explore โœ“ E-commerce ready reports like new arrivals performance, conversion journey, A/B test results, and more โœ“ Custom reports created for you at no extra cost

Stormly helps product, UX, and merchandising teams move faster, avoid missed opportunities, and grow revenue without the manual work.

Proudly built in Europe, Stormly is trusted by e-commerce brands who want to stay ahead by turning data into decisions instantly.

Stormly

Release Date
2019 October
Startup details
Country
Netherlands
Founder(s)
Maurice Sikkink
Employees
10 - 19

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.

Stormly features and specs

  • Customizable Data Models
    Stormly allows users to create and customize data models for specific analytics needs, making it flexible for various business scenarios.
  • User-Friendly Interface
    The platform offers an intuitive user interface that makes it easier for users to navigate and utilize the available analytics tools efficiently.
  • AI-Powered Insights
    Stormly uses artificial intelligence to provide insights and predictions, helping businesses make data-driven decisions.
  • Integration Capability
    The tool supports integration with various data sources, allowing seamless data import and export to complement existing workflows.
  • Collaborative Features
    Stormly offers features that facilitate collaboration among team members, enhancing productivity through shared insights and reports.

Possible disadvantages of Stormly

  • Learning Curve
    Despite its user-friendly design, there may be a learning curve associated with understanding and utilizing advanced features effectively.
  • Pricing Structure
    Some users may find the pricing plans to be on the higher side, especially for small businesses or startups with limited budgets.
  • Limited Pre-Built Templates
    Compared to some competitors, Stormly may offer fewer pre-built templates or reports, requiring users to create more custom solutions from scratch.
  • Performance with Large Datasets
    The platform may experience performance issues or slower processing times when handling extremely large datasets.
  • Customer Support
    Some users have reported that customer support response times can be slow, which could be problematic for urgent inquiries or technical issues.

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.

Category Popularity

0-100% (relative to LinearB and Stormly)
Data Dashboard
86 86%
14% 14
Analytics
62 62%
38% 38
Software Engineering
100 100%
0% 0
Business Intelligence
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, LinearB seems to be more popular. 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
View more

Stormly mentions (0)

We have not tracked any mentions of Stormly yet. Tracking of Stormly recommendations started around Mar 2021.

What are some alternatives?

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

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.

Review Scraper API - Reviews from 50+ sites in JSON

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

Amplitude - Chart Your Path to Growth with Digital Analytics

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.

BareMetrics - SaaS Analytics for Stripe