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Databricks

Rating:

4.8 / 5.0

Tags

Big Data, Data Engineering, Machine Learning, Data Science, Cloud Platform, Apache Spark, MLOps

Categories:
Data AnalysisMachine learning and neural networks
Creator Databricks
Date 2013-01-01
Platforms Cloud Platform, AWS, Azure, Web
Status Active
Website databricks.com
Price Model Subscription / Pay-as-you-go
Sections:
Big Data ProcessingML PlatformsModel DeploymentModel Training

Pricing Details

Subscription-based, aimed at enterprise customers. Pricing depends on the cloud provider used (AWS, Azure, GCP), type of compute resources (DBUs - Databricks Units), and service tier (Standard, Premium, Enterprise).

Features

Big data processing, machine learning platform, MLflow, collaborative notebooks, data engineering, data science, MLOps, integrated environment.

Integrations

Integration with cloud data storage (S3, ADLS, GCS), databases, ETL tools, BI platforms. Deep integration with AWS, Azure, GCP.

Preview

Databricks is a unified data platform built on Apache Spark. It provides an integrated environment for data scientists, data engineers, and analysts to collaborate on big data and machine learning tasks. The platform includes an optimized Spark engine, a managed environment for MLflow (for ML lifecycle management), data preparation tools, collaborative workspaces (Notebooks), and model deployment capabilities. Databricks is widely used for processing, transforming, and analyzing large volumes of data, building ETL pipelines, and developing and deploying machine learning models in enterprise environments.