The on-premise data analysis platform has the following limitations:

Complicated and inefficient ways of working Hadoop Limitations


Enterprises need the Modern Data Analytics Architecture.
1
Cost-effective scaling and performance

2

3
Predict and deliver real-time insights to drive innovation

Complete the Modern Data Analytics Architecture with “Databricks”.
Easy to Manage


Massive Scale


Easy to Manage

“Notebook” for integration and collaboration with built-in ML capabilities

All your data, analytics and AI on one platform – Databricks
Databricks’s “Lakehouse Platform” is the underlying engine for big data analysis software “Apache Spark” and provides a fast analytics and collaborative environment in the cloud based on a new architecture that combines the benefits of Data lakes and Data warehouses.

Simple
Unify your data, analytics, and AI
Open
Unify your data ecosystem

Collaborative
Unify your data teams
Provide an integrated collaborative environment for data engineers-data analytics-data scientists
Leading global companies driving innovation through Databricks

Healthcare & Life Science


Manufacture and Automotive


Media & Entertainment


Financial services


Public sectors


Retail


Energy & Utility


Digital Natives

We’ve experienced a significant improvement in the speed
at which data is available for analysis
Many jobs that used to take six hours now only take six seconds