Making Big Data Simple with

Databricks Cloud

February 2015

Your company starts a

Big Data initiative

You have data, you have questions,

now what?

You have to navigate your data pipeline

Get a cluster up

and running

Build a

production

pipeline

Import and

explore data

Problem: the journey is complex and costly

Expensive to

build and hard to

manage

Disparate and

difficult tools

Months of re-

engineering to deploy

Get a cluster up

and running

Build a

production

pipeline

Import and

explore data

The Solution: Databricks

Cloud

A unified, cloud-hosted data

platform powered by Spark

From Challenges to Solutions

Clusters are expensive to

build and hard to manage

Tools are disparate and

difficult to integrate and use

Long deployment cycles

Hosted clusters in the Cloud

Unified Interactive Workspace

Instant deployment

What is Databricks Cloud

Managed Spark Clusters in the Cloud

Notebook Environment

3rd Party Applications

Production Pipeline Scheduler

Managed Spark Clusters in the Cloud

No lead time

No DevOps

Instant Spark clusters

The best place to run Spark

No expensive hardware

Explore and visualize data interactively

Program in Python, SQL, and Scala

Collaborate on-line in real-time

Notebook environment

WYSIWYG builder

Interactive plots

One-click publishing

Custom dashboards

Schedule production Spark jobs without complicated scripts

Production pipeline scheduler

Real-time DecisionsLearn, work and collaborate in a single, easy to use environment

Zero Management

Focus on your data, not operationsInstant Results

From insights to products in just hours

Open Platform

Use your favorite tools to leverage a growing ecosystem.

Why Databricks Cloud

About Databricks

Founded by the creators of Spark in 2013

Largest organization contributing to Spark

End-to-end hosted platform, Databricks Cloud

Get Started Now!

Sign up for Databricks Cloud:

https://databricks.com/registration