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AWS Trusted Advisor VS Azure Databricks

Compare AWS Trusted Advisor VS Azure Databricks and see what are their differences

AWS Trusted Advisor logo AWS Trusted Advisor

Trusted Advisor helps AWS customers reduce cost, increase performance, and improve security by optimizing their AWS environments.

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.
  • AWS Trusted Advisor Landing page
    Landing page //
    2022-01-31
  • Azure Databricks Landing page
    Landing page //
    2023-04-02

AWS Trusted Advisor features and specs

  • Comprehensive Insights
    AWS Trusted Advisor offers a wide range of checks and best practices to optimize AWS environments across cost, performance, security, and more, providing actionable insights to enhance operational efficiency.
  • Cost Optimization
    It helps identify underutilized resources and provides recommendations on cost-saving opportunities, allowing businesses to reduce unnecessary expenses and manage their budget more effectively.
  • Security Enhancement
    Trusted Advisor checks AWS accounts for potential security vulnerabilities and suggests improvements, helping organizations strengthen their security posture and comply with best practices.
  • Performance Improvement
    By analyzing the resource configuration and usage patterns, Trusted Advisor offers recommendations to boost performance and ensure applications run smoothly and efficiently.
  • Customized Recommendations
    The tool provides personalized advice based on the specific configuration and utilization of AWS resources in an account, making the recommendations relevant and practical.

Possible disadvantages of AWS Trusted Advisor

  • Limited Free Features
    While some features and checks of AWS Trusted Advisor are available for free, comprehensive access requires a Business or Enterprise support plan, which could be costly for smaller organizations.
  • Complex Setup
    Setting up and correctly configuring AWS Trusted Advisor to maximize its benefits may require knowledge and expertise, potentially posing challenges for less experienced AWS users.
  • Overwhelming Information
    The extensive data and numerous recommendations provided might be overwhelming for users, especially those with extensive AWS environments, requiring careful prioritization and management.
  • Dependence on AWS Support Plan
    Full utilization of AWS Trusted Advisor's capabilities is dependent on subscribing to higher-tier support plans, which may not be feasible for all organizations.

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.

AWS Trusted Advisor videos

AWS Trusted Advisor | WorkFlow Concept | Demo

Azure Databricks videos

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 AWS Trusted Advisor and Azure Databricks)
Business & Commerce
44 44%
56% 56
Technical Computing
32 32%
68% 68
Office & Productivity
37 37%
63% 63
Monitoring Tools
100 100%
0% 0

User comments

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Reviews

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

AWS Trusted Advisor Reviews

We have no reviews of AWS Trusted Advisor yet.
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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, AWS Trusted Advisor should be more popular than Azure Databricks. It has been mentiond 12 times since March 2021. 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.

AWS Trusted Advisor mentions (12)

  • AWS Advanced: The Quota Monitor Review
    Usually we would use the AWS Trusted Advisor to monitor quota limits, but not every one can benefit from this service as it requires an AWS Business Support plan. Which if you spend ~$100k it will cost about $6900 per month. Or let's call it 7% of your spend. That's a lot. - Source: dev.to / 7 months ago
  • Scanning AWS S3 Buckets for Security Vulnerabilities
    Regularly audit and monitor your S3 bucket configurations: Establish a routine for auditing and monitoring your S3 bucket configurations. You can also set up alerts for any changes to permissions or policies, enabling timely detection and response to potential security incidents. Additionally, you can utilize tools and services such as AWS Config, which helps you assess, audit, and evaluate the configuration of... - Source: dev.to / 9 months ago
  • 6 Best Practices for AWS Monitoring
    AWS Trusted Advisor is a service that provides best practice recommendations for your AWS account. It can identify potential cost savings, security issues, and performance optimizations, among other things. By regularly reviewing the recommendations provided by Trusted Advisor, you can ensure that your AWS account is following best practices and that you're getting the most out of your resources. Source: about 2 years ago
  • Measuring utilization of cloud resources?
    Have you looked at Trusted Adviser yet? https://aws.amazon.com/premiumsupport/technology/trusted-advisor/. Source: about 2 years ago
  • Building a Greener Cloud: The Role of an Architect for Sustainability in AWS
    AWS Trusted Advisor is a tool that provides recommendations to optimize AWS infrastructure and resources. It analyzes an organization's AWS environment and provides guidance on cost optimization, security, performance, and fault tolerance. One of the lesser-known features of Trusted Advisor is its ability to help reduce energy consumption and carbon emissions. It provides a list of best practices for reducing... - Source: dev.to / about 2 years 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 AWS Trusted Advisor and Azure Databricks, you can also consider the following products

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.

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.

Apache Kudu - Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.

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

Arcadia Enterprise - Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.

ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.