Software Alternatives, Accelerators & Startups

Datashake VS Cube.js

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

Datashake logo Datashake

Turning scraped data into intelligent data

Cube.js logo Cube.js

An open source framework to add customer-facing analytics to any application.
  • Datashake Landing page
    Landing page //
    2022-07-04
  • Cube.js Landing page
    Landing page //
    2023-09-26

Datashake features and specs

  • Comprehensive Data Collection
    Datashake provides a wide range of data collection services, allowing users to gather comprehensive information from various sources such as reviews, social media, and online platforms.
  • API Integration
    The platform offers robust API integration capabilities, enabling users to seamlessly incorporate data into their existing workflows and systems for enhanced data analysis and decision-making.
  • Real-time Data Access
    Datashake facilitates real-time access to data, which is crucial for businesses requiring timely insights and updates for strategic planning and responsiveness.
  • User-friendly Interface
    With an intuitive and easy-to-navigate interface, Datashake reduces the learning curve for new users, making it accessible for businesses of all sizes and technical expertise.

Possible disadvantages of Datashake

  • Cost
    The cost of using Datashake can be a concern for smaller businesses or startups, as the pricing may be on the higher side compared to similar services.
  • Data Dependency
    Relying heavily on Datashake for data collection can lead to dependency, potentially limiting a company's ability to diversify its data sources in the future.
  • Limited Customization
    Some users may find the customization options within Datashake to be limited, which could affect the ability to tailor data collection and analysis to specific needs.
  • Overwhelming Data Volume
    The sheer volume of data available could be overwhelming for users who are not equipped with the necessary tools or expertise to effectively process and analyze large datasets.

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.

Datashake videos

Step 2: Integrate DataShake

More videos:

  • Review - Myflexoffice x datashake

Cube.js videos

No Cube.js videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Datashake and Cube.js)
Analytics
14 14%
86% 86
APIs
100 100%
0% 0
Web Analytics
0 0%
100% 100
Marketing
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Datashake seems to be more popular. It has been mentiond 1 time 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.

Datashake mentions (1)

  • Where do you buy datasets from?
    Yeah, check this company out: https://datashake.com. Source: about 4 years ago

Cube.js mentions (0)

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

What are some alternatives?

When comparing Datashake and Cube.js, you can also consider the following products

PaveAI - Turn Google Analytics into actionable insights using A.I.

Fathom Analytics - Simple, trustworthy website analytics (finally)

Stormly - Turn Your Data Into Insights With A Single Click 🤯

Simple Analytics - The privacy-first Google Analytics alternative located in Europe.

Insights Analytics - Turning your Google Analytics data into actionable insights

Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺