Sold by: Databricks, Inc.
Deployed on AWS
Free Trial
The Databricks Data Intelligence Platform unlocks the power of data and AI for your entire organization. Enjoy up to $400 in usage credits during your 14-day free trial. Cancel anytime. After your trial ends, you will automatically be enrolled into a Databricks pay-as-you-go plan.
4.6
Overview
Video
Databricks at AWS re:Invent 2024
Video
Product video
Get started today with up to $400 in usage credits during your 14-day free trial. Trial ends the earlier of when credits are consumed or the 14-day period expires. After your trial ends, you will be automatically enrolled into a Databricks pay-as-you-go plan using the payment method associated with your AWS Marketplace account, paying only for what you use and you can cancel anytime. You can view the full per-product rates for Databricks Units (DBUs) at https://www.databricks.com/product/pricing
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. Its built on a lakehouse to provide an open, unified foundation for all your data and governance. And its powered by a Data Intelligence Engine that speaks the language of your organization so anyone can access the data and insights they need.
The Data Intelligence Platform simplifies your modern data stack by eliminating the data silos that traditionally separate and complicate data engineering, analytics, BI, data science and machine learning. Databricks is built on open source and open standards to maximize flexibility. And the platforms common approach to data management, security and governance helps you operate more efficiently and innovate faster across all analytics use cases.
Reach out to sales@databricks.com to get specialized configurations and pricing for Databricks on AWS Marketplace on a contract basis.
** Technical Support: For help setting up your account, connecting to data, or exploring the platform please reach out to awsmp-onboarding-help@databricks.com **
Highlights
- Simple: Databricks provides a simplified data architecture by unifying data, analytics and AI workloads on one common platform running on Amazon S3.
- Open: Built on top of the world's most successful open source data projects, the Lakehouse Platform unifies your data ecosystem with open standards and formats.
- Collaborative: With native collaboration capabilities, the Databricks Lakehouse Platform unifies data teams to collaborate across the entire data and AI workflow.
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Databricks Consumption Units | $1.00 |
Vendor refund policy
No refunds
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
Please reach out to sales@databricks.com with any questions or for options on contract or pricing terms.
Technical Support: For help setting up your account, connecting to data, or exploring the platform please reach out to awsmp-onboarding-help@databricks.com
For additional training:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Databricks, Inc.
By Cloudera
Top
10
In Databases & Analytics Platforms, ML Solutions, Data Analytics
Top
10
In ML Solutions
Top
10
In Data Analysis
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Lakehouse Architecture
Built on a lakehouse foundation providing unified data storage and governance across data engineering, analytics, BI, data science, and machine learning workloads
Open Source Integration
Constructed on open source data projects and open standards to maximize flexibility and interoperability across the data ecosystem
Data Intelligence Engine
Powered by a Data Intelligence Engine that enables organizational access to data and insights across diverse user roles and technical skill levels
Unified Data Platform
Consolidates data, analytics, and AI workloads on a single common platform running on Amazon S3, eliminating traditional data silos
Collaborative Capabilities
Provides native collaboration features enabling data teams to work together across the entire data and AI workflow
AWS Data Source Integration
Secure connectivity to Amazon S3, Amazon Redshift, and Amazon RDS with push-down computation capabilities.
Elastic Compute Scaling
Distributed data and machine learning processing powered by Amazon EKS supporting Python, R, Spark, and additional frameworks.
AWS AI Service Integration
Pre-built workflows integrating AWS AI services including Amazon SageMaker and Amazon Comprehend for accelerated AI development.
Large Language Model Connectivity
LLM Mesh capability enabling connections to Amazon Bedrock for Chat, Retrieval-Augmented Generation (RAG), and Agentic workflows.
Visual Analytics and ML Interface
Low-code visual platform for data preparation, pipeline creation, and machine learning model development accessible to both technical and non-technical users.
Workload Auto-scaling
Intelligently autoscales workloads up and down across hybrid and public cloud environments for optimized cloud infrastructure utilization.
Multi-function Analytics Platform
Provides integrated data warehouse, machine learning, and custom analytics capabilities with unified analytic functions to eliminate data silos.
Shared Data Experience (SDX)
Implements security and governance policies that are set once and applied consistently across all data and workloads, with portability across supported infrastructures.
Data Lifecycle Management
Manages complete data lifecycle functions including ingestion, transformation, querying, optimization, and predictive analytics across multiple cloud environments.
Unified Security and Governance
Ensures all workloads share common security, governance, and metadata with capabilities for data discovery, curation, and self-service access controls.
Standard contract
No
No
No
Customer reviews
Aditya Y.
Powerful platform for Data analytics
Reviewed on Jun 01, 2026
Review provided by G2
What do you like best about the product?
For me and my team Databricks brings data engineering as well as analytics and machine learning into one platform . Genuinely speaking it makes our work easy with large datasets . their pricing is also good
What do you dislike about the product?
Honestly saying some advanced features of Databricks can be difficult to configure initially or simply I should say the initial setup can be complex for beginners
What problems is the product solving and how is that benefiting you?
For our team it helps manage and analyze large datasets efficiently I must say It improves collaboration between teams and makes it easier to generate insights for business decisions .
Information Technology and Services
All-in-One Platform With Easy Integrations, Great Support, and AI-Powered Help
Reviewed on Jun 01, 2026
Review provided by G2
What do you like best about the product?
Everthing in one place and easy integration with tools
User friendly interface and great support team
can handle begineer to production workflow with speed and ease
Costing is resonable we are able to access everything in one place with minimal integration.
And has vast support with AI.
User friendly interface and great support team
can handle begineer to production workflow with speed and ease
Costing is resonable we are able to access everything in one place with minimal integration.
And has vast support with AI.
What do you dislike about the product?
The only downside is its cost, which is negligible.
What problems is the product solving and how is that benefiting you?
Databricks is handling our production workflows efficiently.
Shweta T.
Effortless Data Handling with ML Capabilities
Reviewed on May 31, 2026
Review provided by G2
What do you like best about the product?
I like how Databricks handled parabytes of raw information effortlessly, blending storage and compute in a way that eliminated data silos and version conflicts. The built-in machine learning capabilities turned multi-week projects into something I could prototype in days, complete with seamless model tracking and development that gave me confidence in production environments. The initial setup and integration with tools was smoother than expected.
What do you dislike about the product?
I often found the interface overwhelming during deeper explorations with so many layered options. I had to rely on the knowledge base to overcome the difficulties.
What problems is the product solving and how is that benefiting you?
Databricks eliminated data silos and version conflicts, handling large volumes of information effortlessly. It transformed lengthy machine learning projects into rapid prototypes with seamless model tracking and development, boosting my confidence in production environments.
Vikash M.
All-in-One Platform with Collaborative Notebooks and Fast, Scalable Processing
Reviewed on May 30, 2026
Review provided by G2
What do you like best about the product?
What I like most about Databricks is how it brings data engineering, analytics, and AI into one platform. The collaborative notebooks, fast processing, and easy scalability save a lot of time, especially when working with large datasets and multiple teams on shared projects.
What do you dislike about the product?
Databricks can become expensive quickly, and cluster management still feels confusing for beginners sometimes.
What problems is the product solving and how is that benefiting you?
Databricks simplifies large-scale data processing, analytics, and AI workflows, helping me save time, collaborate better, and manage massive datasets more efficiently.
Entertainment
An All-in-One Platform for Data, Analytics, and Machine Learning
Reviewed on May 29, 2026
Review provided by G2
What do you like best about the product?
I really value that this platform supports everything from raw data ingestion and SQL analytics to machine learning with notebooks. It’s not just another external tool; it feels like a fully integrated solution for an entire organization. I also appreciate that it’s designed to support both technical and business users.
What do you dislike about the product?
Managing costs and optimizing cluster usage can sometimes be challenging and requires internal knowledge of the underlying architecture, such as CPU and RAM configuration for jobs. This can significantly impact the overall budget, especially for small companies.
What problems is the product solving and how is that benefiting you?
Databricks helps us process millions of records daily in a reasonable amount of time while maintaining scalability for our solutions. It also allows us to build and integrate solutions not only within Databricks itself, but also by deploying external packages. In addition, the command-line tools provide flexibility to integrate with our current CI/CD workflow, helping us reduce deployment times.