Sold by: Databricks, Inc.
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.
Sold by: Databricks, Inc.
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
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. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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 Snowflake
By Alteryx
Top
10
In Databases & Analytics Platforms, Data Analytics, ML Solutions
Top
10
In Classification-Text, Embeddings
AI generated sentiment 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
Data Platform Architecture
Unified platform integrating data engineering, analytics, business intelligence, data science, and machine learning on a single architecture
Open Source Foundation
Built on open source data projects with support for open standards and data formats
Lakehouse Infrastructure
Provides a common data management approach using a lakehouse architecture running on Amazon S3
Data Intelligence Engine
Advanced engine capable of interpreting organizational data context and enabling broad data access across teams
Collaborative Workflow
Native collaboration capabilities enabling cross-functional data and AI workflow integration
Cloud-Native Architecture
Designed from ground up for cloud infrastructure with scalable and flexible data processing capabilities
Multi-Cloud Data Integration
Supports data unification across multiple cloud platforms and geographies with seamless interoperability
Enterprise-Grade Security
Provides robust data governance, access controls, and secure collaboration mechanisms for organizational data
Distributed Computing Framework
Enables near-unlimited computational resources with high concurrency and performance optimization
Advanced Analytics Platform
Supports diverse analytic workloads and includes enterprise-grade AI model capabilities for data processing
Data Workflow Automation
Drag-and-drop interface with 300+ analytic building blocks for creating and automating data workflows
Machine Learning Capabilities
Automated machine learning (AutoML) and feature engineering for high-value data science use cases
Cloud-Native Analytics Platform
Browser-based, cloud-native experience for building and automating data pipelines with reduced technical complexity
AI-Powered Insights Generation
AI capabilities for generating quick insights through dashboards and storytelling across organizational processes
Enterprise Analytics Governance
Scalable platform for sharing and governing analytic workflow processes with enterprise-level management
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
No security profile
No security profile
Standard contract
No
No
No
Customer reviews
Satyam V.
Why Databricks Data Intelligence Platform?
Reviewed on Mar 26, 2025
Review provided by G2
What do you like best about the product?
Databricks simplifies big data processing with AI-powered analytics, seamless integration, and collaborative workspaces, making data-driven decisions faster and more efficient. Implementation is smooth, and customer support is helpful.
What do you dislike about the product?
Databricks is great, but the cost can escalate quickly, especially with high workloads and auto-scaling.
What problems is the product solving and how is that benefiting you?
Databricks makes working with data easier by combining analytics, AI, and storage in one place. It helps teams work faster, automate tasks, and get insights quickly—saving time and effort.
Leave a comment0 comments
Sachin V.
Game changer
Reviewed on Mar 25, 2025
Review provided by G2
What do you like best about the product?
This lake house architecture brings the best of both data lakes and warehouses , so we don't have to deal with the unnecessary complexity. Delta lakes ensures reliability while the notebook based interface makes collaboration seamless. The platform ability to handle batch, streaming, and machine learning workloads in one place is a huge advantage.
What do you dislike about the product?
The pricing can get expensive, especially if workloads aren't optimized properly, also while the notebooks are great they could use better version control for collaborative work . the initial learning curve can be a bit steep for those new to spark but once you get the hang of it. It is powerful tool
What problems is the product solving and how is that benefiting you?
Databricks simplifies big data processing by providing a unified platform for batch and streaming workloads. It eliminates the complexity of managing infrastructure, ensuring scalability and performance without much manual effort . The collaborative notebooks make it easy to work with items and delta Lake improves data reliability. overall it saves a lot of time and effort in managing data workloads
sanjay s.
Easy to use, easy to access support system, unified lakehouse architecture and timely new features.
Reviewed on Mar 25, 2025
Review provided by G2
What do you like best about the product?
Flexibility of using languages like Python, Pyspark and SQL. New file arriving feature. variety of options to connect with almost all kind of source. Very simple implementation of unity catalog which was hard to manage initially. Volumn that works seamless with python/pandas code.
What do you dislike about the product?
Databricks diagnose error suggestion. Failed to provide queries for like mail attachment extraction, AES 256 encrypt code etc. Very good for support in python, pyspark and SQL code but not in rare usecase like mentioned above.
What problems is the product solving and how is that benefiting you?
Complex logic and Expensive processing, Unified batch and stream processing, data governance by unity catalog, use of separate BI tool etc.
Amal K.
Databricks Analytics Amazing Tool
Reviewed on Mar 25, 2025
Review provided by G2
What do you like best about the product?
It provide codes based on taking context from previous cells, which helps in developing code better.
Serverless querying is faster and cheaper, which helps build and query effectively.
Serverless querying is faster and cheaper, which helps build and query effectively.
What do you dislike about the product?
Nothing disappointing about this product.
What problems is the product solving and how is that benefiting you?
Helps ingest data from various sources and structure data properly. Unity catalogue also helps in data governance as similar data under a single catalogue.
It helps create jobs and utilities based on custom requirement.
It helps create jobs and utilities based on custom requirement.
Sunil V.
Unified Data Analytics Platform
Reviewed on Mar 25, 2025
Review provided by G2
What do you like best about the product?
There are so many features which I loved and some of them are unity catalog (data governance), Serverless compute (sql warehouse) and delta acid transactions (time travel in case of accidental data delete or update)
What do you dislike about the product?
there is nothing to say but in previously when databricks changed the UI design then little bit problem occured but now I am used to
What problems is the product solving and how is that benefiting you?
Its real streaming helps lot as we receive the data in near to real time and its provides all the supporting features apart from this easy to make different kind of ETL and data integration from various source