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AWS Config VS Databricks

Compare AWS Config VS Databricks and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

AWS Config logo AWS Config

Cloud Monitoring

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โ€ŽWhat is Apache Spark?
  • AWS Config Landing page
    Landing page //
    2023-05-03
  • Databricks Landing page
    Landing page //
    2023-09-14

AWS Config features and specs

  • Continuous Monitoring
    AWS Config provides continuous monitoring of AWS resources, allowing users to track changes and ensure resources remain compliant with company policies and regulations.
  • Resource Inventory
    It maintains a comprehensive inventory of resources, providing detailed historical and current configuration information to help manage AWS resources effectively.
  • Security and Compliance
    AWS Config enables security and compliance auditing by recording and evaluating configurations against desired settings and standards, facilitating swift remediation of non-compliant resources.
  • Integration with AWS Services
    Easily integrates with other AWS services such as AWS Lambda, AWS CloudTrail, and AWS Identity and Access Management (IAM) to enhance monitoring, automation, and security.
  • Automated Evaluation
    AWS Config Rules can be used to automatically evaluate AWS resource configurations, ensuring they meet specific compliance requirements and taking corrective actions if needed.

Possible disadvantages of AWS Config

  • Cost
    AWS Config can become expensive as it records configuration changes and evaluates a large number of resources, especially in dynamic environments with many changes.
  • Complexity
    Setting up and managing AWS Config can be complex, requiring a good understanding of AWS services, IAM permissions, and compliance requirements.
  • Performance Impact
    In some cases, the continuous monitoring and recording of configuration changes might impact the performance of AWS environments, particularly in large-scale systems.
  • Limited to AWS Environment
    AWS Config is designed specifically for AWS resources and environments, which might limit its usability for organizations that rely on multi-cloud strategies or hybrid environments.

Databricks features and specs

  • Unified Data Analytics Platform
    Databricks integrates various data processing and analytics tools, offering a unified environment for data engineering, machine learning, and business analytics. This integration can streamline workflows and reduce the complexity of data management.
  • Scalability
    Databricks leverages Apache Spark and other scalable technologies to handle large datasets and high computational workloads efficiently. This makes it suitable for enterprises with significant data processing needs.
  • Collaborative Environment
    The platform offers collaborative notebooks that allow data scientists, engineers, and analysts to work together in real-time. This enhances productivity and fosters better communication within teams.
  • Performance Optimization
    Databricks includes various performance optimization features such as caching, indexing, and query optimization, which can significantly speed up data processing tasks.
  • Support for Various Data Formats
    The platform supports a wide range of data formats and sources, including structured, semi-structured, and unstructured data, making it versatile and adaptable to different use cases.
  • Integration with Cloud Providers
    Databricks is designed to work seamlessly with major cloud providers like AWS, Azure, and Google Cloud, allowing users to easily integrate it into their existing cloud infrastructure.

Possible disadvantages of Databricks

  • Cost
    Databricks can be expensive, especially for large-scale deployments or high-frequency usage. It may not be the most cost-effective solution for smaller organizations or projects with limited budgets.
  • Complexity
    While powerful, Databricks can be complex to set up and manage, requiring specialized knowledge in Apache Spark and cloud infrastructure. This might lead to a steeper learning curve for new users.
  • Dependency on Cloud Providers
    Being heavily integrated with cloud providers, Databricks might face issues like vendor lock-in, where switching providers becomes difficult or costly.
  • Limited Offline Capabilities
    Databricks is primarily designed for cloud environments, which means offline or on-premise capabilities are limited, posing challenges for organizations with strict data governance policies.
  • Resource Management
    Efficiently managing and allocating resources can be challenging in Databricks, especially in large multi-user environments. Mismanagement of resources could lead to increased costs and reduced performance.

AWS Config videos

+ Add

AWS Config Tutorial

More videos:

  • Review - Manage and Track Application and Infrastructure Configuration Changes using AWS Config
  • Review - AWS Config Introduction

Databricks videos

+ Add

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Category Popularity

0-100% (relative to AWS Config and Databricks)

AWS Config

Databricks

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Cloud Hosting
100 100%
Cloud Hosting
0% 0
Big Data Analytics
0 0%
Big Data Analytics
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 AWS Config and Databricks

AWS Config Reviews

We have no reviews of AWS Config yet.
Be the first one to post

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Source: www.shipyardapp.com
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.
Source: blog.bismart.com

Social recommendations and mentions

Based on our record, AWS Config should be more popular than Databricks. It has been mentiond 27 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 Config mentions (27)

  • Course 2 of 3: CI/CD for Generative AI Applications โš’๏ธ
    AWS Config is a service that offers a comprehensive view of the resources linked to our AWS account. It details their configurations, interrelationships, and any changes in these configurations and relationships over time. AWS Config can create a dashboard displaying noncompliant resources, it helps us understand the state of our AWS resources and how they evolve over time. - Source: dev.to / 3 months ago
  • You deleted everything and AWS is still charging you?
    Look, I don't know what else to tell 'ya, but in 2026 if you're getting "mysterious" charges from AWS after "deleting everything", you're simply not competent. With a plethora of free billing tips from places like Duckbill https://www.duckbillhq.com/, to full-on repos like AWS-Nuke, https://github.com/ekristen/aws-nuke , down to AWS's own account monitoring and management services like Control Tower... - Source: Hacker News / 4 months ago
  • AWS Security Services Overview
    Description AWS Config records the configuration state of AWS resources and continuously evaluates them against compliance rules and baselines. - Source: dev.to / 6 months ago
  • AWS CloudFormation Drift Detection & Remediation Guide
    Integration with AWS Config: AWS Config is a service that helps with AWS configuration auditing, assessment, and evaluation on live environments. You can leverage AWS Config Rules to automate drift detection and create compliance checks that trigger when drift occurs. Check the cloudformation-stack-drift-detection-check managed rule for more details on how to set this up. - Source: dev.to / 6 months ago
  • Automated EKS Cost Optimization with AWS Config
    Through the past years, I helped a number of organizations to optimize cloud costs in AWS, more particularly additional EKS costs. I mainly used AWS config that assesses, audits, and evaluates the configurations of your resources in your AWS account. - Source: dev.to / 6 months ago
View more

Databricks mentions (18)

  • Platform Engineering Abstraction: How to Scale IaC for Enterprise
    Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / almost 2 years ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโ€™s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: over 3 years ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 4 years ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 4 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 4 years ago
View more

What are some alternatives?

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

Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

AWS CloudFormation - AWS CloudFormation gives developers and systems administrators an easy way to create and manage a...

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Amazon EC2 Systems Manager - Learn how to shorten the time to detect and resolve problems. View operational data from multiple AWS services and automate tasks across AWS resources.

Looker - Looker makes it easy for analysts to create and curate custom data experiencesโ€”so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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