Solutions

Databricks

One Simple platform to unify all your data, analytics and AI workloads

Migrate big data workloads to the cloud with Databricks and accelerate your data-driven innovation!

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

The on-premise data analysis platform

has the following limitations:

Limit ①

Complicated and inefficient ways
of working Hadoop Limitations

Limit ②

For Business Agility
Real-time data processing

Limit ③

Apply machine learning and
predictive analysis for innovation

Enterprises need the Modern Data Analytics Architecture.

[ Critical Requirement ]

Enterprises need

the Modern Data Analytics Architecture.

[ Critical Requirement ]

1 Cost-effective scaling and performance

2 Easy to manage and highly reliable for a variety of data

3 Predict and deliver real-time insights to drive innovation

Complete the Modern Data Analytics Architecture with “Databricks”.

Complete the Modern Data Analytics

Architecture with “Databricks”.

Easy to Manage

Managed cloud platform
to reliably handle all types of data

Enhanced productivity

Massive Scale

Flexible, on-demand auto-scale cluster
with optimized Apache Spark

Cost savings at scale

AI-Enabled Innovation

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

New and Faster Insights

All your data, analytics and AI on one platform – Databricks

All your data, analytics

and AI on one platform

– Databricks

Simple. Open. Collaborative.

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.