📌 Quick Answer
Databricks is a cloud-based unified data analytics platform, built on Apache Spark, that brings data engineering, data science, analytics and machine learning together in one workspace.
It is best known for the lakehouse architecture, which combines the low-cost storage of a data lake with the structure and reliability of a data warehouse.
🔹 Key Takeaways
- It is a cloud platform built on Apache Spark for big-data processing.
- It unifies data engineering, analytics and machine learning in collaborative notebooks.
- Its lakehouse architecture (Delta Lake) merges data-lake and data-warehouse strengths.
- It runs on AWS, Microsoft Azure and Google Cloud.
What Is Databricks?
Databricks is a cloud-based unified analytics platform founded by the original creators of Apache Spark. It provides a single collaborative workspace where data engineers, data scientists and analysts can process large volumes of data, build pipelines, run analytics and train machine-learning models, without managing the underlying cluster infrastructure themselves.
Key Features
- Apache Spark engine: fast, distributed processing of very large datasets.
- Lakehouse and Delta Lake: reliable, structured storage on top of cheap data-lake storage, with ACID transactions.
- Collaborative notebooks: shared notebooks supporting Python, SQL, Scala and R.
- MLflow: built-in tools to track, manage and deploy machine-learning models.
- Multi-cloud: available on AWS, Azure and Google Cloud.
Common Use Cases
Databricks is used for building big-data ETL pipelines, running large-scale analytics and BI, training and deploying machine-learning and AI models, and creating a single lakehouse that serves both reporting and data-science teams from the same data.
Frequently Asked Questions
What is Databricks used for?
It is used for big-data processing, building data pipelines, running analytics, and developing and deploying machine-learning models, all in one cloud platform.
Is Databricks built on Apache Spark?
Yes. Databricks was created by the original developers of Apache Spark and uses Spark as its core distributed processing engine.
What is the lakehouse architecture?
It is an architecture that combines the low-cost, flexible storage of a data lake with the reliability, structure and performance of a data warehouse, implemented in Databricks through Delta Lake.
Which clouds support Databricks?
Databricks runs on Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform.