Alternatives to Cube.js logo

Alternatives to Cube.js

Cube.js, GraphQL, Metabase, Tableau, and Looker are the most popular alternatives and competitors to Cube.js.
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What is Cube.js and what are its top alternatives?

Cube.js is an analytics layer for modern applications. It supplies building blocks to add analytics features into any application you create. It is designed to work with large-scale data sets and implements various optimization techniques.
Cube.js is a tool in the Business Intelligence category of a tech stack.
Cube.js is an open source tool with 8.5K GitHub stars and 658 GitHub forks. Here鈥檚 a link to Cube.js's open source repository on GitHub

Top Alternatives to Cube.js

Cube.js alternatives & related posts

Cube.js logo

Cube.js

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Open Source Analytics Framework
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related Cube.js posts

Shared insights
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Cube.jsCube.js
at

sublimd Analytics meets Cube.js Read our story about how we deployed Cube.js into production.

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related GraphQL posts

Shared insights
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Node.jsNode.jsGraphQLGraphQLMongoDBMongoDB

I just finished the very first version of my new hobby project: #MovieGeeks. It is a minimalist online movie catalog for you to save the movies you want to see and for rating the movies you already saw. This is just the beginning as I am planning to add more features on the lines of sharing and discovery

For the #BackEnd I decided to use Node.js , GraphQL and MongoDB:

  1. Node.js has a huge community so it will always be a safe choice in terms of libraries and finding solutions to problems you may have

  2. GraphQL because I needed to improve my skills with it and because I was never comfortable with the usual REST approach. I believe GraphQL is a better option as it feels more natural to write apis, it improves the development velocity, by definition it fixes the over-fetching and under-fetching problem that is so common on REST apis, and on top of that, the community is getting bigger and bigger.

  3. MongoDB was my choice for the database as I already have a lot of experience working on it and because, despite of some bad reputation it has acquired in the last months, I still believe it is a powerful database for at least a very long list of use cases such as the one I needed for my website

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Nick Rockwell
Nick Rockwell
SVP, Engineering at Fastly | 39 upvotes 路 1.2M views

When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?

So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.

React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.

Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.

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Tableau logo

Tableau

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Tableau helps people see and understand data.
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PROS OF TABLEAU
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      Looker logo

      Looker

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      Pioneering the next generation of BI, data discovery & data analytics
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      Power BI

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      A business analytics service
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          Data Studio logo

          Data Studio

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          Your data is powerful. Use it
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              Redash logo

              Redash

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              Easily query an existing database, share the dataset and visualize it in different ways
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