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Amazon AWS VS Azure Databricks

Compare Amazon AWS VS Azure Databricks and see what are their differences

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Amazon AWS logo Amazon AWS

Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.

Azure Databricks logo Azure Databricks

Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.
  • Amazon AWS Landing page
    Landing page //
    2022-01-29
  • Azure Databricks Landing page
    Landing page //
    2023-04-02

Amazon AWS features and specs

  • Scalability
    AWS offers highly scalable services, allowing businesses to easily adjust resources based on demand without significant upfront investment.
  • Comprehensive Service Offering
    AWS provides a wide range of services, from compute and storage to machine learning and analytics, catering to diverse business needs.
  • Global Reach
    With data centers located worldwide, AWS enables low-latency access and redundancy, supporting global operations.
  • Strong Security
    AWS has robust security measures, including compliance certifications, encryption, and physical security, ensuring data and infrastructure protection.
  • Pay-as-You-Go Pricing
    AWS offers a flexible pricing model, where users only pay for what they use, helping manage costs effectively.
  • Extensive Integration Options
    AWS integrates with a wide variety of third-party services and APIs, providing seamless integration capabilities for various applications.
  • Innovation
    AWS frequently releases new services and features, staying at the forefront of technology and providing users with cutting-edge tools.

Possible disadvantages of Amazon AWS

  • Cost Management Complexity
    While the pay-as-you-go model offers flexibility, it can be challenging to track and predict costs, especially for large-scale operations.
  • Learning Curve
    AWS has a comprehensive set of services and features, which can be overwhelming for new users to learn and manage effectively.
  • Potential Vendor Lock-In
    Relying heavily on AWS services may result in vendor lock-in, making it difficult to switch providers or migrate workloads in the future.
  • Service Limitations
    Certain AWS services might have limitations or restrictions, which could hinder specific use cases or require workarounds.
  • Support Costs
    AWS offers different support tiers, and premium support options can be expensive for businesses needing immediate and advanced technical assistance.
  • Performance Variability
    Performance can vary based on server load and geographic location, which may affect the consistency and reliability of certain services.
  • Complex Pricing Structure
    AWS's pricing structure can be complicated, with various pricing models and options making it hard to determine the most cost-efficient choice.

Azure Databricks features and specs

  • Scalability
    Azure Databricks enables easy scaling of workloads up or down, allowing users to handle large volumes of data and perform distributed processing efficiently.
  • Integration
    Seamlessly integrates with other Azure services, such as Azure Data Lake Storage and Azure SQL Data Warehouse, facilitating a streamlined data pipeline.
  • Collaboration
    Offers collaborative features like notebooks that allow multiple users to work together easily on data analytics projects.
  • Performance Optimization
    Built on top of Apache Spark, Azure Databricks provides high performance and optimized execution for data engineering and machine learning tasks.
  • Managed Service
    As a fully managed service, it handles infrastructure provisioning and maintenance, enabling users to focus on data insights rather than backend management.

Possible disadvantages of Azure Databricks

  • Cost
    Azure Databricks can be expensive, particularly for large-scale and long-running workloads, which may be a concern for budget-conscious organizations.
  • Complexity
    Despite its capabilities, Azure Databricks may have a steep learning curve, especially for users not familiar with Apache Spark.
  • Vendor Lock-in
    Leveraging Azure-specific services can lead to vendor lock-in, making it challenging to migrate workloads and data to other cloud platforms.
  • Limited Offline Capabilities
    As a cloud-native service, it requires an active internet connection and might not suit scenarios that require offline processing.
  • Compliance Concerns
    Due to Azure Databricks' integration with Azure, users need to carefully manage compliance and data governance, which might be complex in multi-regional deployments.

Amazon AWS videos

+ Add

Amazon Web Services vs Google Cloud Platform - AWS vs GCP | Difference Between GCP and AWS

More videos:

  • Review - Are AWS Certifications worth it?
  • Review - AWS Certified Solutions Architect Associate Certification Will Get You Paid!

Azure Databricks videos

+ Add

Azure Databricks is Easier Than You Think

More videos:

  • Review - Ingest, prepare & transform using Azure Databricks & Data Factory | Azure Friday
  • Review - Azure Databricks - What's new! | DB102

Category Popularity

0-100% (relative to Amazon AWS and Azure Databricks)

Amazon AWS

Azure Databricks

Cloud Computing
100 100%
Cloud Computing
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Cloud Infrastructure
100 100%
Cloud Infrastructure
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon AWS and Azure Databricks

Amazon AWS Reviews

  1. macloughlin
    · AV engineer ·
    The best cloud platform out there

    You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.

    👍 Pros:    Great documentation|Website structure visualization|You have control over everything|Flexibility
    👎 Cons:    Learning curve|A lot of dashboards for different things
Top 15 MuleSoft Competitors and Alternatives
API Gateway private endpoints allow AWS customers to use API endpoints inside their VPC. They can leverage Route 53 resolver endpoints and hybrid connectivity to access APIs and integrated backend services from on-premises clients.
Source: bstrategyhub.com
Best Dedicated Server Providers in India: A Comparative Analysis
Dedicated hosts on Amazon EC2 are physical servers that are completely dedicated to meeting corporate compliance standards. With AWS, you can create EC2 instances on a dedicated server. The flexibility offered by Amazon EC2 is definitely one of its biggest advantages, along with high scalability. Apart from that, it isn’t much better than dedicated servers.
Source: moralstory.org
Best Dedicated Server Providers for E-commerce Businesses in India
The dedicated server options from Amazon Web Services (AWS), a well-known brand in the tech industry, are equally excellent. AWS’s elastic infrastructure can smoothly adjust to your demands whether your e-commerce business encounters variable traffic or you expect quick development. AWS guarantees that the speed and performance of your website will always be unmatched thanks...
Source: pricealertbd.com
The Best Dedicated Server Operating System for UK-Based Business
Cloud computing behemoth AWS is renowned for its extensive infrastructure and scalability choices. You can make use of AWS’s numerous data centers, which are positioned strategically to offer low-latency services all across the UK.
Source: featurestic.com
The Best Dedicated Servers for Enterprise Businesses in India: Scalable and Reliable
The extensive selection of cloud-based solutions offered by AWS is one of its main advantages. AWS provides a wide range of cloud services, including computing power, storage choices, databases, machine learning, analytics tools, and dedicated servers. This adaptability enables businesses to create scalable, flexible, and affordable solutions customized to their needs.
Source: india07.in

Azure Databricks Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
Azure Databricks is a data analytics tool optimized for Microsoft’s Azure cloud services solution. It provides three development environments for data-intensive apps, namely Databricks SQL, Databricks Machine Learning, and Databricks Data Science & Engineering.The platform supports languages including Python, Java, R, Scala, and SQL, plus data science frameworks and...
Source: theqalead.com

Social recommendations and mentions

Based on our record, Amazon AWS seems to be a lot more popular than Azure Databricks. While we know about 447 links to Amazon AWS, we've tracked only 2 mentions of Azure Databricks. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon AWS mentions (447)

  • Complete Guide OTA: Setting Up Hot Updater with AWS S3 and Lambda@Edge for React Native
    AWS Account: Sign up at AWS if you don't have an existing account. - Source: dev.to / about 16 hours ago
  • Drop It Like It’s Hot: Sending Email Attachments Straight to Google Drive using Postmark
    Teachers, freelancers, and inbox zero purists rejoice: I built EmailDrop, a one-click AWS deployment that turns incoming emails into automatic Google Drive uploads. With Postmark's new inbound webhooks, AWS Lambda, and a little OAuth wizardry, attachments fly straight from your inbox to your Google Drive. In this post, I’ll walk through how I built it using Postmark, CloudFormation, Google Drive, and serverless... - Source: dev.to / 19 days ago
  • Getting Started with Amazon Q Developer CLI by Building a Game
    AWS, short for Amazon Web Services, offers over 200 powerful cloud services. And among them, Amazon Q stands out as one of the best tools they’ve introduced recently. Why? Because it’s not just another AI, it’s your superpowered generative AI coding assistant that actually understands how developers work. - Source: dev.to / 22 days ago
  • Step-by-Step Guide to Set Up a Cron Job to Run a Report
    Create an AWS Account: If you don’t already have one, sign up at aws.amazon.com. The free tier provides 750 hours per month of a t2.micro or t3.micro instance for 12 months. - Source: dev.to / 29 days ago
  • How to Host an Express App on AWS EC2 with NGINX (Free Tier Guide)
    Sign in to your AWS account. If you’re new to AWS, you can sign up for the free tier to get started without any upfront cost. - Source: dev.to / about 2 months ago
View more

Azure Databricks mentions (2)

  • Top 30 Microsoft Azure Services
    In the big data space, Azure offers Azure Databricks. This is an Apache Spark big data analytics and machine learning service over a Distributed File System. The distributed cluster of nodes running analytics and AI operations in parallel allow for fast processing of large volumes of data and integration with popular machine learning libraries such as PyTorch unleash endless possibilities for custom ML. - Source: dev.to / almost 4 years ago
  • ZooKeeper-free Kafka is out. First Demo
    https://azure.microsoft.com/en-us/services/databricks. - Source: Hacker News / about 4 years ago

What are some alternatives?

When comparing Amazon AWS and Azure Databricks, you can also consider the following products

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.

IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.

Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.

MicroStrategy - MicroStrategy is a cloud-based platform providing business intelligence, mobile intelligence and network applications.

Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

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