For the last couple of years, we’ve been working on Cube.js, an analytics framework built specifically for customization and embedding. There are a lot of great tools data engineers can use to build internal data infrastructure. But there is a lack of tools for software engineers who are building production, customer-facing applications and need to embed analytics features into these applications.
The major requirements we had were to make it easily scale to large datasets while allowing full UI customization on the frontend. It also had to be dependency-free and especially not require wiring up a complex infrastructure of data pipeline jobs.
For the last couple of years, we’ve been working on Cube.js, an analytics framework built specifically for customization and embedding. There are a lot of great tools data engineers can use to build internal data infrastructure. But there is a lack of tools for software engineers who are building production, customer-facing applications and need to embed analytics features into these applications.
The major requirements we had were to make it easily scale to large datasets while allowing full UI customization on the frontend. It also had to be dependency-free and especially not require wiring up a complex infrastructure of data pipeline jobs. […]