Data Platform

What is Databricks, and How to Deploy It in an Enterprise Data Stack?

Last updated on
April 10, 2025
No items found.

What is Databricks?

Databricks provides a collaborative environment for data processing and machine learning on a massive scale. Its unified lakehouse architecture streamlines workflows, allowing data teams to work on a single platform from ingestion to insights. With its open, standards-based setup, it integrates effortlessly with various tools, facilitating secure data sharing across platforms. It shines in scalability, handling everything from basic data operations to complex algorithms like large language models efficiently. In the era of data-centric business strategies, Databricks empowers teams to unlock valuable insights quickly, turning raw data into actionable intelligence, crucial for staying competitive.

Use cases for Databricks

No items found.
See all use cases >

Why is Databricks better on Shakudo?

Why is Databricks better on Shakudo?

Core Shakudo Features

Own Your AI

Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.

Faster Time-to-Value

Pre-built templates and automated DevOps accelerate time-to-value.
integrate

Flexible with Experts

Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.

See Shakudo in Action

Neal Gilmore
Get Started >