Pricing score

Databricks Data Intelligence Platform Pricing Profile

Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI.

HQ Location

San Francisco, California, USA

Category:

Key Takeaways

Unified Analytics Workspace

Databricks provides a collaborative workspace where data engineers, data scientists, and analysts can work together in a single environment. The workspace allows for the creation of notebooks, which can be used to write code, run queries, visualize results, and share findings. These notebooks support popular programming languages like Python, R, SQL, and Scala, and allow for seamless interaction with data stored in Data Lakes or Data Warehouses.

Apache Spark-Based Engine

The platform is built around the powerful Apache Spark engine, which provides high-performance distributed data processing. Databricks takes full advantage of Spark’s capabilities for processing massive amounts of structured and unstructured data in a parallelized fashion.

Delta Lake for Data Management

Delta Lake, an open-source storage layer built on top of Apache Spark, is a key feature of Databricks. It brings ACID transactions to data lakes, providing robust data management features like schema enforcement, time travel (historical data queries), and data versioning. This makes data lakes more reliable and easier to manage for real-time analytics and operational workloads.

Product Overview

The Databricks Data Intelligence Platform is a unified analytics platform designed to accelerate the creation, deployment, and operationalization of data and AI-driven solutions. Built on top of Apache Spark, Databricks enables businesses to seamlessly manage their data lakes and data pipelines while applying machine learning (ML) models at scale. The platform brings together data engineering, data science, and machine learning teams in a collaborative environment, improving productivity, speeding up insights, and fostering a unified approach to big data and AI.

The Databricks platform offers a wide range of tools to handle everything from data preparation, analysis, model training, and deployment, to operationalizing machine learning. It combines the power of distributed data processing, collaborative notebooks, and integrated machine learning tools to provide an end-to-end solution for modern data-driven organizations.

INSIGHTS

Our insights about Databricks pricing

Pay-as-you-go approach with no up-front costs

Free trial

Pricing is based on your compute usage

Available Pricing Models

How much does Databricks cost?

Databricks products are priced to provide compelling Total Cost of Ownership (TCO) to customers for their workloads. When estimating your savings with Databricks, it is important to consider key aspects of alternative solutions, including job completion rate, duration and the manual effort and resources required to support a job. To help you accurately estimate your savings, Databricks recommend comparing side-by-side results as part of a proof of concept deployment.

What users say about Databricks pricing

Senthil K.

Mainly 60-70% of day-day actviities goes with Databricks DLT , Autoloader, databricks Workflows usage for Building unified pipelines.

Ajay P.

The best part of databricks data intelligence is that it's very simple to use and have lot of fetures that helps us develope data pipeline and AI, and it help us us to easy implemet GenAI mostly RAG in production. LakeFlow made inetegration very esy with different sources as low code no code approch.

Brenda N.

It is definately not for beginners in dataset operations, needs a highly skilled person to do the job. Other than that there can be high cost because it need resources so for small companies it might not be good fit.

Bhagirath S.

I do not like only 30 days trail period and missing update mail from databricks.

Kreethi M.

What I love most about Databricks Data Intelligence Platform is how user-friendly it is. From easy implementation to excellent customer support, I find myself using it daily without hassle. Its extensive feature set and seamless integration with other tools make my work so much smoother.I also loved how it solved most of the major problems that we use to face as data engineers and ml engineers.

Senthil K.

Mainly 60-70% of day-day actviities goes with Databricks DLT , Autoloader, databricks Workflows usage for Building unified pipelines.

Bhagirath S.

I do not like only 30 days trail period and missing update mail from databricks.

Ajay P.

Kreethi M.

Brenda N.

Databricks Pricing Rating

Real-Time Data Processing: 4.8/5

Databricks supports real-time stream processing with Structured Streaming, enabling users to process and analyze data in motion. This is especially useful for applications like IoT data, financial transactions, social media analytics, and other real-time data sources.

ML Integration: 4.8/5

Databricks simplifies the application of machine learning (ML) by offering built-in ML libraries such as MLlib and integration with popular ML frameworks like TensorFlow, PyTorch, and XGBoost. The platform supports autoML (automated machine learning) workflows for building predictive models, hyperparameter tuning, and model selection, all without requiring deep expertise in data science.

Scalability: 4.8/5

Databricks operates on top of cloud-native infrastructure (supports AWS, Azure, and Google Cloud Platform), providing auto-scaling compute clusters to meet the demands of large-scale data processing and machine learning tasks. You only pay for what you use, making it cost-effective for organizations at any scale.

FAQ on Databricks AI Pricing

What does the free trial include?

Your trial includes free access to the Databricks Data Intelligence Platform, which allows you to manage all your data, analytics and AI in one place. You may also invite colleagues or collaborators to use your account during or after your trial.

Please note that if you configure Databricks to work with your own cloud account, you will still be charged by your cloud provider for resources, like compute instances, used within your account during the free trial.

Some trials include credits that can be spent on Databricks services. These credits are not transferable, cannot be combined with other promotions or negotiated terms, and are not available to customers who previously accepted them. A customer’s eligibility for credits under this offer, the amount of credits (if any), and when any credits expire are solely determined by Databricks following account creation. A customer’s trial ends when their credits are exhausted.

What happens after the free trial?

At the end of the trial, you are automatically subscribed to the plan that you have been using during the trial. You may need to input a valid payment method to continue using Databricks. You can cancel your subscription at any time.

Is pricing based on usage or storage volume?

Databricks pricing is based on your compute usage. Storage, networking and related costs will vary depending on the services you choose and your cloud service provider.

What is a DBU?

A Databricks Unit (DBU) is a normalized unit of processing power on the Databricks Lakehouse Platform used for measurement and pricing purposes. The number of DBUs a workload consumes is driven by processing metrics, which may include the compute resources used and the amount of data processed.