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    Databricks Data Intelligence Platform

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    Free Trial
    The Databricks Data Intelligence Platform unlocks the power of data and AI for your entire organization. Enjoy $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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    Databricks Data Intelligence Platform

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    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 [email protected]  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 [email protected] **

    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

    Delivery method

    Features and programs

    Buyer guide

    Gain valuable insights from real users who purchased this product, powered by PeerSpot.
    Buyer guide

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product free according to the free trial terms set by the vendor.

    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

    Vendor refund policy

    No refunds

    Custom pricing options

    Find a fit for enterprise or unique needs with a private offer.

    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.

    Usage information

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    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.

    Support

    Vendor support

    Please reach out to [email protected]  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 [email protected] 

    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.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    10
    In Data Analytics, Databases & Analytics Platforms, ML Solutions
    Top
    10
    In Classification-Text, Embeddings, Generative AI
    Top
    10
    In Data Preparation

    Customer reviews

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    AI generated sentiment from actual customer reviews on AWS and G2
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    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
    No security profile
    No security profile

    Contract

     Info
    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

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    4.3
    3 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    67%
    0%
    33%
    0%
    0%
    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.
    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.
    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.
    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.
    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.
    View all reviews