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README.md

Panoramix

Panoramix is a data exploration platform designed to be visual, intuitive and interactive.

Buzz Phrases

  • Analytics at the speed of thought!
  • Instantaneous learning curve
  • Realtime analytics when querying Druid.io
  • Extentsible to infinity

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Database Support

Panoramix was originally designed on to of Druid.io, but quickly broadened to support other databases through the use of SqlAlchemy, a Python ORM that is compatible with many external databases. At the moment the SQL has been hard coded to use LIMIT-type dialect and needs to be extended to support other syntax (TOP, ROWNUM, ...)

What's Druid?

From their website at http://druid.io

Druid is an open-source analytics data store designed for business intelligence (OLAP) queries on event data. Druid provides low latency (real-time) data ingestion, flexible data exploration, and fast data aggregation. Existing Druid deployments have scaled to trillions of events and petabytes of data. Druid is best used to power analytic dashboards and applications.

Panoramix

Panoramix's main goal is to make it easy to slice, dice and visualize data out of Druid. It empowers its user to perform analytics at the speed of thought.

Panoramix started as a hackathon project at Airbnb in while running a POC (proof of concept) on using Druid.

Panoramix provides:

  • A way to query intuitively a Druid dataset, allowing for grouping, filtering limiting and defining a time granularity
  • Many charts and visualization to analyze your data, as well as a flexible way to extend the visualization capabilities
  • An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (through Flask AppBuiler)
  • A simple semantic layer, allowing to control how Druid datasources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user

Installation

Follow these few simple steps to install Panoramix

# Clone the github repo 
git clone https://github.com/mistercrunch/panoramix.git

# Get in that fresh new folder
cd panoramix

# You may want to create a python virtualenv
# virtualenv env
# source env/bin/activate
# pip install -r requirements.txt

# If you don't use a virtualenv, you'll have to sudo to install the reqs
sudo pip install -r requirements.txt

# Edit config.py, and read through the settings
# Note that alternatively, you can create a ``local_config.py`` and put it
# somewhere in your PYTHONPATH. The variables declared local_config.py
# will override the ones in ``config.py``, and won't create issues when
# you need to ``git pull`` the latest version of panoramix
vim config.py

# Create an admin account, the app will ask for username/password, ...
# This feature is out of Flask App Builder, the framework I used to build
# Panoramix
fabmanager create-admin

# Start the web server
python run.py

After installation, you should be able to point your browser to the right hostname:port http://localhost:8088, login using the credential you entered while creating the admin account, and navigate to Menu -> Admin -> Refresh Metadata. This action should bring in all of your datasources for Panoramix to be aware of, and they should show up in Menu -> Datasources, from where you can start playing with your data!

Configuration

  • From the UI, enter the information about your clusters in the Admin->Clusters menu by hitting the + sign.

  • Once the Druid cluster connection information is entered, hit the Admin->Refresh Metadata menu item to populate

  • Navigate to your datasources