Databricks Review

Overview

Databricks is a unified data analytic application created by the team that designed Apache Spark. This platform combines data science, business, and engineering to help enterprises speed up innovation. It is perfect for corporations in industries such as media and entertainment, internet of things, retail, industrial and manufacturing, healthcare and life science, telecom, public sector, enterprise technology software, marketing and advertising, financial services, and energy and utilities.

Databricks delivers robust functionalities that empower organizations to effectively utilize the power of AI. Main features include security tools, inbuilt production capabilities, exploration functions, cost management, and optimizations for cloud environment. Businesses can leverage these features to streamline and accelerate their processes to boost productivity.

Benefits

Utilizes Apache Spark

Databricks empowers data engineers, data scientists, and entrepreneurs to unify their operations and focus on solving actual business concerns. It has been designed to be cloud-native and on top of a proprietary application which permits its runtime to leverage Apache Spark. The system enables you to combine analytics with the dependable Apache Spark platform. Apache Spark is an open-source processing engine with features such as speed, ease of use, and advanced analytics.

Fully Managed Program

Databricks is a wholly managed system that removes the complexity of big data and machine learning. It uses the unified Spark engine which offers higher level libraries and backing for machine learning, graph processing, SQL queries, and streaming data. The libraries enhance the productivity of developers and can be seamlessly fused into complex processes.

Offers Collaborative Workspaces

The software presents collaborative workplaces where you can produce data pipelines in several languages including Scala, SQL, R, and Python, as well as train and prototype models of machine learning. The interactive workspaces utilize lots of point-n-click insight visualizations plus scriptable choices including matplotlib, ggplot, and D3.

Advanced Security Features

Databricks leverages a unified security model to secure data at all grades. The security features include rigorous auditing, support for compliance standards, data encryption, identity management, and role-based access controls.

Product Features

Pricing

Azure Databricks Pricing 

DBU (Databricks Unit) is a unit of processing capability per hour, billed on a per-second usage.

Data Engineering Light

Run Apache SparkTM batch applications

• Standard SKU - $0.07/DBU
• Premium SKU - $0.22/DBU

Data Engineering

Run batch applications on Databricks' optimized runtime for greater performance and reliability

• Standard SKU - $0.15/DBU
• Premium SKU - $0.30/DBU

Data Analytics

Utilize the Azure Databricks workspace to collaborate on experiments, projects, and notebooks

• Standard SKU - $0.40/DBU
• Premium SKU - $0.55/DBU

Databricks on AWS Pricing 

Basic (Preview)

• Run Apache Spark batch applications
• $0.07/DBU

Data Engineering

• Run batch applications on Databricks’ optimized runtime for better performance and reliability
• $0.15/DBU

Data Analytics

• Utilize the Databricks workspace to collaborate on notebooks, projects, and experiments
• $0.40/DBU