Overview

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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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Databricks Data Intelligence Platform

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Dimension	Cost/unit
Databricks Consumption Units	$1.00

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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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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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Alteryx Analytics Automation Platform

By Alteryx

Accolades

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Top

In Data Analytics, Databases & Analytics Platforms, ML Solutions

Top

In Classification-Text, Embeddings, Generative AI

Top

In Data Preparation

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AI generated sentiment from actual customer reviews on AWS and G2

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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

4 star

3 star

2 star

1 star

67%

33%

3 AWS reviews

353 external reviews

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

mona m.

Scalability of data bricks helped me a lot in enhancing my work quality

Reviewed on Nov 12, 2024

Review provided by G2

What do you like best about the product?

Databricks significantly enhances my work by providing a "unified platform" that integrates various data sources and supports multiple programming languages, simplifying the development and management of ETL workflows. Its scalability, powered by Apache Spark, allows for horizontal scaling to handle increasing data volumes efficiently. Additionally, the collaborative notebooks foster teamwork among data engineers, scientists, and analysts, streamlining communication and accelerating workflow development.

What do you dislike about the product?

I can say about the dislikes of data bricks that
-Cost Management Complexity:
Scaling can lead to unexpected costs if not monitored closely.
- Management Overhead:
Large clusters increase complexity in management and configuration.
- Performance Variability:
Improper configurations may lead to inefficiencies and longer runtimes.

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

the collaborative notebooks foster teamwork among data engineers, scientists, and analysts, streamlining communication and accelerating workflow development.

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Mila M.

Superb data analytics and Ai platform !

Reviewed on Nov 04, 2024

Review provided by G2

What do you like best about the product?

It has been very amazing in creating data pipelines for data transformation and data analysis + queries easily in dashboard. It is best for data engineers in our company , they use it daily for implementing ML and setting up workflow using Databricks.

What do you dislike about the product?

I think trial period can be bit enhanced for testing this vast platforms. In terms of functionality i see no issues.

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

Databricks played big role in warehouse , ML feature with Ai capabilities for managing workflow in team project . Plus it is very helpful in data transformation and analysis which is very much needed.

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Brenda N.

Ai driven big data and Ml in one place !

Reviewed on Oct 18, 2024

Review provided by G2

What do you like best about the product?

I really like databricks 's integration with Apache spark which helps us in analysing large datasets fairly quickly . And It feature of unifying different data sources in one places is also my favorite feature of this tool.It also has very advanve Machiene learning which helps our data scientist and analyst to work in sync.Also its costumer support is very helpful too.

What do you dislike about the product?

It is definately not for beginners in dataset operations , needs a highly skilled person to do the job.Other than that there can be high cost because it need resources so for small companies it might not be good fit.

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

Databricks helps us in collecting all the data sets from different sources which further helps us in simplifying workflows and improved collaboration in team.Also its integration with Apache Spark is very helpful for processinf big amount of data very quickly.

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Anna S.

Powerful Analytics Platform

Reviewed on Oct 16, 2024

Review provided by G2

What do you like best about the product?

I like the scalability and flexibility Databricks provides for large datasets. It easily integrates with cloud storage platforms like AWS and Azure. This helps our team implement and analyze massive datasets quickly.

What do you dislike about the product?

The pricing can be high for smaller organizations, making it less accessible to smaller projects.

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

The integration with various data sources and AI tools has simplified our complex workflows, which has led to faster project completion and overall business growth.

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Chase L.

Best platform for data engineers !

Reviewed on Oct 15, 2024

Review provided by G2

What do you like best about the product?

It has been great platform for our company . It works on real time data collection tech and ai . Its monitoring feature works excellently for data analysis and data distribution. Its scalability can be increased with large data volumes very smoothly. Its ability to improve frequency and pipeline has really good thing.

What do you dislike about the product?

I find that it will need some learning curve at the beginning other than that its great tool.

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

Databricks has been great tool for data processing Big data and ML . It is very helpful in complex data workflows management in team. It also supports ai based insights that are way faster and accurate than manual . It sorts our issue of collboration between teams of data.

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