Build analytics applications powered by your data warehouse
Cube Cloud is the easiest way to build analytics and BI features. It’s a fully hosted, autoscaling service that connects your cloud data to your front end code by creating a semantic API, managing access and multitenancy, aggregating data and caching queries.
I've been using Statsbot, this team's prior product, for a couple years and became obsessed with Cube.js in the process. If you haven't used it yet, I highly recommend it. Was lucky enough to try out the Cube Cloud beta, and it abstracts all the low leverage parts. Congrats on launching team! Very excited to see where this goes!
We just started experimenting with Cube Cloud, but I can already see it scratches a very real itch for us, and - I imagine - anyone building data-rich apps. Building on the innovative and sound technical foundation of Cube.js , Cube Cloud delivers the missing pieces to make an analytics API much easier to get right, like painless integration with GitHub and easy deployment in a cloud environment. In addition, the team has been extremely attentive and helpful with any question or issue we had so
I continue to be impressed with Cube.js and their technology - congratulations on your launch of Cube Cloud!
My experience has been great so far
We have been using cube.js since many years. It has been something like a life saver. The product, the community and the team is really wonderful. The Cube.js platform reduces our development time significantly, and integrates easily with data from various sources, as well as with any Node.js development stack / ecosystem.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.