Creating Powerful Low-Code Data Dashboards with Superblocks

Build and deploy a low-code data reporting web app using SuperBlocks and MongoDB in minutes.

Yaakov Bressler

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Superblocks is a powerful new way to create Data Dashboards and custom data solutions.

Superblocks is a powerful new way to create Data Dashboards and custom data solutions.

TLDR: Superblocks allows the creation of next generation data apps — characterized by low code, easy deployments, fine grained access control, and full integrations with Prod environments. Also, I built this app using Superblocks and had a really great experience.

Link to the App I built: https://app.superblocks.com/applications/9e80434c-64a6-480f-bac3-0093f0139dbf/pages/ecb00eea-214d-4877-8c62-f88f999b5f94

1. INTRODUCTION

Building data reporting dashboards using BI tools such as Looker or Tableau are great low-code solutions for answering business questions. However, if you need something more customized, more integrated, or high-performance (e.g. ML dashboards), these solutions fall short.

In cases where customization is necessary, most data teams resolve to customized web-app based applications, like Streamlit or Plotly Dash Apps. However, these tools have gaps too — deployment can be challenging, access control (RBAC) and data governance mandates are difficult, plus they take a long time to build.

The only solution which checks all the boxes is a custom web app, which probably falls into the categorization of web development, less so data dashboarding.

Thus, the solutions available to current data dashboarding teams are limited and fall short. Until now. [Drumroll] In this article, I will discuss Superblocks, a new low-code data dashboarding technology which is quickly changing the data dashboarding landscape. [Clever voice] At the end of this article, you’ll like Superblocks a lot, I hope.

2. BACKGROUND

Before diving into what Superblocks does, let’s take a step back and describe the types of tooling available to data dashboarding teams.

Generally, live data reporting is done with one of the following tools:

  1. Business Intelligence (non-programmers):
    Ex: Tableau, Looker, Google Data Studio

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