Sold by: Databricks, Inc.
Deployed on AWS
The Databricks Data Intelligence Platform unlocks the power of data and AI for your entire organization on AWS GovCloud - Community. Upon registration, you will automatically be enrolled into a Databricks pay-as-you-go plan.
4.5
Overview
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Databricks at AWS re:Invent 2024
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Upon registration, you will be automatically enrolled into a Databricks Data Intelligence Platform on AWS GovCloud - Community 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 help@databricks.com **
Highlights
- Simple: Databricks provides a simplified data architecture by unifying data, analytics and AI workloads on one common platform running on AWS GovCloud - Community.
- 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 on AWS GovCloud - Community.
- Collaborative: With native collaboration capabilities, the Databricks Lakehouse Platform unifies data teams to collaborate across the entire data and AI workflow on AWS GovCloud - Community.
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Please reach out to sales@databricks.com with any questions or for options on contract or pricing terms.
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Similar products
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.
The Databricks Data Intelligence Platform unlocks the power of data and AI for your entire organization on AWS GovCloud - DoD. Upon registration, you will automatically be enrolled into a Databricks pay-as-you-go plan.
Databricks start pack implementation service package. Databricks is a cloud-based data platform to process, analyze and visualize large volumes of data.
Databricks start pack implementation service package. Databricks is a cloud-based data platform to process, analyze and visualize large volumes of data.
Customer reviews
Oscar Estorach
Data lakehouse has powered faster analytics and has simplified collaboration for big data projects
Reviewed on Jun 16, 2026
Review provided by PeerSpot
What is our primary use case?
I did not work with Apache, particularly Keeper for Apache Kafka , but I started to work maybe five years ago and right now I don't do anything there.
In the last year, I did not work with Kafka. Currently, I am an architect, data architect, but I don't implement anything with Kafka or Confluence ; it's a commercial product in the cloud.
I don't know the name of the product I am currently working with. I was working with Databricks , Snowflake , and DBT.
I prefer working with Microsoft Azure cloud because I need time for me and don't need to learn more clouds. For example, in a project, I am working with Snowflake into Azure and into Amazon, but I don't touch any technological stack or any services into Amazon; I only work with Azure.
What is most valuable?
I have been familiar with Databricks Data Intelligence Platform for maybe eight years.
Databricks Data Intelligence Platform is a cloud solution and a business solution, but the origin is Spark. Apache Spark is the base of Databricks Data Intelligence Platform, and the same person who created Spark now has the company Databricks , so all is in the cloud.
Databricks Data Intelligence Platform is faster and easier to work with for deploying the Medallion Lakehouse, while Fabric from Microsoft is better for Business Intelligence ; combining them makes for great solutions.
Delta Lake is a great solution from Databricks; it's an open-source system but deployed by Databricks, and I think it's the standard for Microsoft.
I use the collaboration feature in Databricks Data Intelligence Platform, which is great collaboration, but I don't understand exactly what feature you mean by collaborate.
What needs improvement?
I need to pass my lesser two certificates because I study a lot and started to work, but I can't finish my official certificates; I have only two and needed more.
I don't know what features I would like to see in future updates because they innovate too much.
Pricing is something that could always be improved.
For how long have I used the solution?
I have been using Databricks Data Intelligence Platform for maybe eight years.
How was the initial setup?
The deployment of Databricks Data Intelligence Platform is not always easy; it depends on what your problem is. You need to have some experience because it's easier in the cloud, but it's more difficult to implement on-premise like Spark. You need to know what things you want to do there, configure clusters, and use services specific for the corresponding problem or the solution for the customer.
If you only use Databricks Data Intelligence Platform for implementing simple systems, it's easy and takes hours. But if you need to implement governance and Unity Catalog or use BI AI for deploying natural language dashboards for business insights, it can take more time. You can start working in two days or three days with the right help from IT.
What about the implementation team?
I participated in deployment in the configuration for eight years of experience with Databricks Data Intelligence Platform.
What other advice do I have?
There is a lot of information and support available now; you have access to many courses and support, so don't worry.
For creating big data with AI, I rate Databricks Data Intelligence Platform very high, maybe a nine or eight. I would rate my overall experience with this product a 9.