Sold by: Databricks, Inc.
Deployed on AWS
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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.
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Overview
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Databricks at AWS re:Invent 2024
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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.
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Dimension | Cost/unit |
|---|---|
Databricks Consumption Units | $1.00 |
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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
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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
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
Data Source Connectivity
Secure connection to multiple AWS data sources including Amazon S3, Amazon Redshift, and Amazon RDS
Elastic Compute Processing
Scalable data and machine learning processing powered by Amazon EKS supporting Python, R, Spark, and multiple programming environments
AI Service Integration
Pre-built workflows integrating with AWS AI services like Amazon SageMaker and Amazon Comprehend
Large Language Model Connectivity
LLM Mesh capability for connecting to Amazon Bedrock to support Chat, Retrieval-Augmented Generation (RAG), and Agentic workflows
Collaborative Analytics Platform
Visual platform enabling distributed creation of advanced analytics with collaboration between technical and non-technical teams
Data Platform Architecture
Enterprise data platform supporting multi-cloud, hybrid cloud, and on-premises data management environments
Security and Governance Framework
Shared Data Experience (SDX) technology providing consistent security and governance policies across data workloads and infrastructures
Multi-Function Analytics
Integrated analytics platform supporting data ingestion, transformation, querying, optimization, and predictive modeling without requiring separate point products
Workload Optimization
Intelligent autoscaling capabilities for dynamically adjusting cloud infrastructure resources based on computational requirements
Data Lifecycle Management
Comprehensive platform supporting data processing across multiple services including Data Warehouse, Machine Learning, and custom analytics environments
Standard contract
No
No
No
Customer reviews
Kriti K.
Outstanding Experience with This Software
Reviewed on Jan 09, 2026
Review provided by G2
What do you like best about the product?
Databricks data intelligence is a platform that helps in accommodating all of our business and official data and share it with different team departments so that they can analyse it and create a detailed analytics of past performances and also make required changes on it for future growth.
What do you dislike about the product?
One of the major challenge that we face while working with Databricks data intelligence platform is that you cannot use this tool with a single data scientist you will have to keep a team of professionals who can deal with large data and create multiple graphs and analytics according to available information and this complete activity involves lot of financial investment
What problems is the product solving and how is that benefiting you?
This software help us in making sure that all the data of different departments are accommodated in a same software so that access can be easier and decisions can be taken much quicker. With the help of this tool data of all the departments like finance, operations, sales and marketing are screend in one time and thoroughly interchecked too.
Aashu V.
Excellent ML Features and Data Controls in Databricks
Reviewed on Jan 08, 2026
Review provided by G2
What do you like best about the product?
Databricks offers useful features for machine learning engineers, such as the ability to use compute pools to run workloads efficiently. In addition, it includes the Unity Catalog, which is an excellent tool for managing data access controls.
What do you dislike about the product?
The product would benefit from having more built-in functions that are specifically optimized for GenAI use cases.
What problems is the product solving and how is that benefiting you?
We successfully consolidated data from multiple ERPs onto a single platform, which enabled us to use this unified data for data engineering, reporting, machine learning, and GenAI use cases.
Awadhesh P.
Comprehensive Data Platform with Flexible Onboarding and Robust Governance
Reviewed on Jan 08, 2026
Review provided by G2
What do you like best about the product?
This is an end-to-end platform that begins with flexible onboarding of data from multiple sources, followed by processing through a medallion architecture. The Unity Catalog is used for governance, cataloging, and tracking data lineage. Databricks SQL serves as the endpoint for use cases such as business intelligence, as well as downstream integration through API endpoints.
What do you dislike about the product?
There isn't anything particularly specific, but in certain situations, we do depend on cloud-native services. For instance, when working on Azure and aiming for comprehensive end-to-end governance, we require Azure Purview.
What problems is the product solving and how is that benefiting you?
As a solution architect specializing in Data & AI, Databricks has become my preferred platform for all things related to data engineering, data warehousing, and analytics. In my experience designing solutions, I have found that Databricks offers a comprehensive suite that meets the majority of client needs. This means there is no need to search across multiple vendors for the best services, as most requirements can be addressed within a single platform.
Samridhi J.
Impressive AI Features and Unified Lakehouse Architecture
Reviewed on Jan 07, 2026
Review provided by G2
What do you like best about the product?
The recent AI features are quite helpful and also the unified lakehouse architecture.
What do you dislike about the product?
A bit tough for those new to spark or from a non tech background especially the table view.
What problems is the product solving and how is that benefiting you?
unified data platform for all my data from gsc to bigquery to data warehouse and datalake. Super high processing speed. Easy to use and understand with a clean UI. the AI query mode is very helpful and kind of addictive lol.
Pragati V.
Simplifies Data Analysis for Streamlined Workflows
Reviewed on Jan 07, 2026
Review provided by G2
What do you like best about the product?
Databricks is a Data Analytics tool that is used by our designing engineers to analyse all the different type of financial and operational data of our company and create a summary of everything so that understanding of companies workflow can be simple.
What do you dislike about the product?
One of the major disadvantage of databricks is that the software is completely based on programming language like Python, SQL, Scala so if the user does not have knowledge of these programming languages than it is very difficult for them to use this platform.
What problems is the product solving and how is that benefiting you?
The best part of databricks is that it can easily get integrated with cloud networks like as azure, AWS, Google Cloud etc. So, working on this platform also help us in getting access to all the data of different years and compile them to get a proper analytics of business performance.