Software Alternatives, Accelerators & Startups

Cube.js VS Stormly

Compare Cube.js VS Stormly and see what are their differences

Cube.js logo Cube.js

An open source framework to add customer-facing analytics to any application.

Stormly logo Stormly

Product Analytics built for E-Commerce Teams ๐Ÿ›๏ธ
  • Cube.js Landing page
    Landing page //
    2023-09-26
  • 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.

Cube.js

Pricing URL
-
Release Date
-

Stormly

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

Cube.js features and specs

  • Open Source
    Cube.js is open-source, meaning it's free to use and has a community of developers contributing to its improvement. This fosters collaboration, transparency, and faster iteration of features and bug fixes.
  • API-First Approach
    Cube.js provides an API-first approach, allowing you to easily integrate it into existing applications and workflows. This flexibility makes it suitable for a variety of use cases.
  • Pre-Aggregations
    Cube.js includes built-in support for pre-aggregations, significantly speeding up query performance by pre-calculating data and reducing the load on your database.
  • Database Compatibility
    It supports multiple databases like PostgreSQL, MySQL, MongoDB, and more, making it versatile and adaptable to different environments and technology stacks.
  • Scalability
    Cube.js can handle large datasets and high query loads, making it a scalable solution for growing applications or enterprises with extensive data needs.
  • Community and Documentation
    Cube.js has a strong community and comprehensive documentation, which can aid in troubleshooting, implementation, and learning best practices.

Possible disadvantages of Cube.js

  • Learning Curve
    Despite the comprehensive documentation, Cube.js can have a steep learning curve due to its wide range of features and the complexity of setting up pre-aggregations and schema design.
  • Performance Overhead
    For smaller applications, the performance overhead introduced by Cube.js might not justify its use, as the pre-aggregation and processing layers could add complexity without substantial performance gains.
  • Dependency on JavaScript/Node.js
    Cube.js is built on JavaScript and Node.js, which can be a limitation if your development stack relies primarily on other technologies, leading to potential integration challenges.
  • Community Support Limits
    While Cube.js has a decent community, it's not as extensive as some older, more established data processing or BI tools. This could result in fewer third-party integrations and plugins.
  • Initial Setup Time
    Setting up Cube.js initially can be time-consuming, particularly when configuring data schemas, security, and managing pre-aggregations for optimized performance.
  • Evolving Software
    As a relatively new and evolving tool, Cube.js might experience more frequent updates or changes, which could lead to stability issues or require continuous adaptation of your application.

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.

Analysis of Cube.js

Overall verdict

  • Cube.js is generally considered a good choice for developers looking to implement a scalable analytical backend. It excels in terms of performance, ease of use, and its ability to integrate with multiple data sources and visualization tools. However, the best choice depends on the specific needs and constraints of your project.

Why this product is good

  • Cube.js is a popular open-source analytics framework designed to help developers build modern data applications. It provides a robust set of features for building and managing data dashboards, reports, and data visualizations. Cube.js supports SQL databases natively and is highly optimized for performance, making it suitable for real-time analytics. Its modular architecture allows it to be integrated with various data sources and front-end frameworks, providing flexibility and scalability.

Recommended for

    Cube.js is recommended for developers and companies looking to build real-time analytics platforms, data visualization dashboards, and reporting tools. It is especially suitable for those who require a flexible and scalable infrastructure capable of handling large volumes of data across various sources.

Category Popularity

0-100% (relative to Cube.js and Stormly)
Analytics
73 73%
27% 27
Web Analytics
84 84%
16% 16
Business Intelligence
0 0%
100% 100
Privacy
100 100%
0% 0

User comments

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