Metabase is primarily used for analyzing existing data on a daily basis by swiftly fetching answers to the most common queries without dealing with complex workflows.

Why Metabase?

Power the in-app analytics without writing any SQL

Provide Application-wide Reports and dashboards

Provide Per-User, Per-Account, etc. Reports and Dashboards

Fully secure

Niles partners, one of the IT Solutions provider is launching a product which will configure Metabase to a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques which is embedded pre-configured tool with Ubuntu 18.04 and ready-to-launch AMI on Azure cloud that contains Hadoop, Hbase and SQL interface.

Running Metabase on a server will enable others to log into accounts and share reports & dashboards. It is written in Clojure and offers multiple options such as Docker image, cloud images, Mac application, and a jar file, which are specially designed for particular use cases.

Features

See streamed data plotted in real time

Log data to the onboard flash memory

View device information

Run diagnostics

The Metabase application has two basic components

The backend is written in Clojure that contains a REST API as well as all the relevant code for talking to databases and processing queries.

The frontend is written as a JavaScript single-page application which provides the web UI.