AWS Marketplace: Databricks Data Intelligence Platform

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Get started today with $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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Databricks, Inc.

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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.

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Pricing

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Databricks Data Intelligence Platform

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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.

Usage costs (1)

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Dimension	Cost/unit
Databricks Consumption Units	$1.00

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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.

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Support

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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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Product comparison

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Databricks Data Intelligence Platform

By Databricks, Inc.

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By Snowflake

Alteryx Analytics Automation Platform

By Alteryx

Accolades

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Top

In Data Analytics, Databases & Analytics Platforms, ML Solutions

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In Classification-Text, Embeddings, Generative AI

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In Data Preparation

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Overview

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AI generated from product descriptions

Unified Data Platform

Provides a simplified data architecture by unifying data, analytics and AI workloads on one common platform running on Amazon S3

Open Standards and Formats

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 Data and AI Workflow

With native collaboration capabilities, the Databricks Lakehouse Platform unifies data teams to collaborate across the entire data and AI workflow

Data Integration

Single, fully managed solution to integrate and analyze data sets that were previously impossible to obtain

Scalability

Near unlimited resources not bound by the limitations of a legacy on-premises solution ported to the cloud

Data Collaboration

Governed and secure collaboration within the Data Cloud to enable the most critical workloads

Drag-and-Drop Interface

Features a drag-and-drop interface with 300+ analytic building blocks that allows users to easily create and automate data workflows.

Cloud-Native Experience

A browser-based, cloud-native experience that reduces the time, technical skills, and costs required to build and automate data pipelines

Automated Machine Learning

Business experts of any skillset can use Alteryx Machine Learning for high-value data science and ML use cases, with automated machine learning (AutoML) and feature engineering.

AI-Generated Insights

With its AI capabilities, Alteryx Auto Insights provides quick insights with dashboards and storytelling that can be applied across your entire organization.

Enterprise-Grade Platform

Deploy with enterprise scale, security, governance, and management

Security credentials

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Validated by AWS Marketplace

FedRAMP

GDPR

HIPAA

ISO/IEC 27001

PCI DSS

SOC 2 Type 2

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Contract

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Standard contract

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Ratings and reviews

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4.3

3 ratings

5 star

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1 star

67%

33%

3 AWS reviews

400 external reviews

External reviews are sourced from G2 and are not included in the star rating for this product.

Ansh S.

Unlocking Data Potential: A Comprehensive Review of the Databricks Data Intelligence Platform

Reviewed on Jan 10, 2025

Review provided by G2

What do you like best about the product?

I like how Databricks seamlessly integrates data engineering, science and machine learning, offering scalabilty, collaboration and efficient analytics in one platform.

What do you dislike about the product?

The main drawbacks of Databricks are its steep learning curve and complex pricing, which can be challenging for new users or smaller teams or organizations with limited budgets.

What problems is the product solving and how is that benefiting you?

Databricks solves problems releated to data processing at scale, simplifying the integration of data engineering, data science and machine learning workflows. it allows for faster data analysis, more efficient model building, and seamless collaboration across teams.

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Sophia M.

Boosting efficiency with the unified data and AI ecosystem

Reviewed on Jan 09, 2025

Review provided by G2

What do you like best about the product?

Databricks scalability features allowed us to process millions of rows of customer data efficiently. We use utilized Databricks to build a customer segmentation model for an e-commerce platform. Here we identified targeted groups by analyzing purchase history, browsing behavior and other related data. The huge amount of data can be visualized using in-built visualization tool in Databricks, which was incredibly helpful in exploring patterns and presenting insights.

What do you dislike about the product?

I personally reached out to support when debugging data pipeline issues. But the issue got resolved in no time, preventing delays in the project.

What problems is the product solving and how is that benefiting you?

The platform has helped us to automate data aggregation and pre processing, which results in cutting down the time spent on repetitive task by nearly 30%. Also, it's support for real time data updates insured that the result were always based on the most current data.

A fantastic serverless data warehousing platform is Databrick data intelligence

Reviewed on Jan 09, 2025

Review provided by G2

What do you like best about the product?

Databricks data intelligence is really fast and can handle large amounts of data easily, you can run complex Sql quries on huge datasets in seconds without needing to worry about managing serves or infrastructure, everthing is taken care of for you, like maintance and backups, so you don't have to think about that either. It also works smoothly with other parts of the databricks, making it easier to build software workflows and data piprlines for analyzing and managing your data.

What do you dislike about the product?

Databricks can be hard for beginners, if they don't know Sql. it can also get expensive and complicated for many users.

What problems is the product solving and how is that benefiting you?

Managing data from different places like on premises the cloud or third party services can be tricky, but with databricks, it makes combing and analyzzing all that data easy. This saves time amd reduce a lot of complexity.

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Arthur C.

Faculte using the platform

Reviewed on Jan 09, 2025

Review provided by G2

What do you like best about the product?

The practice and how simple is to use the platform.

What do you dislike about the product?

About the platform, I didn't dislike nothing.

What problems is the product solving and how is that benefiting you?

Using the DIP my work time was optimized and the solutions came more faster.

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Lexie C.

Ease to use for data management

Reviewed on Jan 09, 2025

Review provided by G2

What do you like best about the product?

I have very great experience with Databricks and I love to work on their platform. Their supptive nature make data visualization easy provide hassle free services.

What do you dislike about the product?

The integration of vanta provide ease implementation and also gives best ML algorithm to work on big data analytics.

What problems is the product solving and how is that benefiting you?

Overall, my experience with databricks data management system is really great and I am satisfied with their features and pricing that fullfill our all business needs and requirements.

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