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pgAdmin VS AWS Deep Learning AMIs

Compare pgAdmin VS AWS Deep Learning AMIs and see what are their differences

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pgAdmin logo pgAdmin

pgAdmin Website

AWS Deep Learning AMIs logo AWS Deep Learning AMIs

The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.
  • pgAdmin Landing page
    Landing page //
    2021-12-31
  • AWS Deep Learning AMIs Landing page
    Landing page //
    2023-04-30

pgAdmin features and specs

  • Comprehensive Interface
    pgAdmin offers a wide range of tools and features to manage and develop PostgreSQL databases, making it a comprehensive solution for database administrators.
  • Cross-Platform Compatibility
    pgAdmin is available on multiple operating systems, including Windows, macOS, and Linux, which provides flexibility for users working in different environments.
  • User-Friendly GUI
    The graphical user interface of pgAdmin is intuitive and easy to use, even for beginners, which enhances productivity and reduces the learning curve.
  • Support for Advanced PostgreSQL Features
    pgAdmin supports various advanced PostgreSQL features such as table partitioning, stored procedures, and more, making it suitable for managing complex databases.
  • Regular Updates
    pgAdmin receives frequent updates that bring new features, improvements, and bug fixes, ensuring that the tool remains current and functional.

Possible disadvantages of pgAdmin

  • Resource Intensive
    pgAdmin can be resource-intensive, requiring significant memory and CPU usage, especially when managing large databases, which might affect performance.
  • Occasional Stability Issues
    Users have reported occasional crashes and stability issues, particularly when performing complex operations, which can disrupt workflow.
  • Limited Customization
    pgAdmin offers limited customization options compared to some other database management tools, restricting users who prefer more tailored interfaces.
  • Learning Curve for Advanced Features
    While basic operations are user-friendly, utilizing some of the more advanced features of pgAdmin can have a steep learning curve, making it less accessible to new users.
  • Dependency on Web Technologies
    pgAdmin heavily relies on web technologies (HTML, CSS, JavaScript) which may introduce latency and compatibility issues depending on the user's browser and system configuration.

AWS Deep Learning AMIs features and specs

  • Pre-configured Environment
    AWS Deep Learning AMIs come pre-installed with popular deep learning frameworks like TensorFlow, PyTorch, and Apache MXNet. This saves time and effort in setting up the environment, making it easier for developers to start training and deploying models quickly.
  • Scalability
    With AWS infrastructure, users can easily scale their deep learning tasks as needed. Whether you require more compute power or storage, AWS provides the ability to scale up or down to meet your project’s demands.
  • Integration with AWS Services
    Deep Learning AMIs are designed to work seamlessly with other AWS services like S3 for storage, EC2 for scalable compute, and SageMaker for optimized machine learning workflows, providing a comprehensive ecosystem for machine learning projects.
  • Regular Updates
    AWS frequently updates their AMIs with the latest versions of deep learning frameworks and libraries, ensuring compatibility and access to the latest features and optimizations.

Possible disadvantages of AWS Deep Learning AMIs

  • Cost
    Using AWS Deep Learning AMIs involves paying for the underlying EC2 instances and any other associated AWS services, which can become costly compared to local computing options, especially for long-term projects.
  • Complexity
    While AWS provides extensive documentation and support, the complexity of navigating and managing cloud resources can be daunting for those unfamiliar with AWS services, requiring a learning curve to optimize usage.
  • Dependency on Internet Connectivity
    Since AWS Deep Learning AMIs operate on the cloud, a stable internet connection is necessary to interact with your instances. This dependency might be a limitation for users in areas with unreliable internet access.
  • Data Transfer Costs
    Transferring large datasets to and from AWS can incur additional data transfer costs, which could add up significantly depending on the volume of data being moved and the location of the AWS region used.

pgAdmin videos

+ Add

PostgreSQL: PSQL & pgAdmin 4 (Windows) | Course | 2019

More videos:

  • Review - CentOS 8 Server - #10.2 Install PgAdmin 4 on Apache

AWS Deep Learning AMIs videos

No AWS Deep Learning AMIs videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to pgAdmin and AWS Deep Learning AMIs)

pgAdmin

AWS Deep Learning AMIs

Databases
100 100%
Databases
0% 0
Development
0 0%
Development
100% 100
Database Management
100 100%
Database Management
0% 0
Diagnostics Software
0 0%
Diagnostics Software
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 pgAdmin and AWS Deep Learning AMIs

pgAdmin Reviews

Top pgAdmin Alternatives 2023
If you happen to work only with Postgres, pgAdmin is your go-to. It is free and open-source (just like Postgres itself). As pgAdmin is a web app, it can only interact with the local filesystem in ways that are allowed by modern web browsers, but this does mean that it works on Linux, macOS, and Windows.
Source: www.bytebase.com

AWS Deep Learning AMIs Reviews

We have no reviews of AWS Deep Learning AMIs yet.
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Social recommendations and mentions

pgAdmin might be a bit more popular than AWS Deep Learning AMIs. We know about 4 links to it since March 2021 and only 3 links to AWS Deep Learning AMIs. 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.

pgAdmin mentions (4)

  • PostgreSQL 16 Installation on Ubuntu 22.04
    Configure PostgreSQL to use md5 password authentication by editing pg_hba.conf , this is important if you wish to connect remotely e.g. Via PGADMIN :. - Source: dev.to / over 1 year ago
  • Generate a GraphQL API For Amazon RDS PostgreSQL With StepZen
    You can download pgAdmin from their official website. The same is true for PostgreSQL from EDB. The setup is basically straightforward, and just click on the installer and wait for the program to finish installing. - Source: dev.to / over 2 years ago
  • 22.4 broke PgAdmin & prisma
    If you are using the version of pgadmin that can be downloaded from pgadmin.org, it does not list ubuntu 22.04 on it's list of supported distros. It likely depends on libraries or other dependencies that are not available anymore. Might want to see if you have any better luck if you install from source. Source: about 3 years ago
  • Migrating a Sample Schema into a PostgreSQL database issues
    I will download pgadmin like you are suggesting and see if I can gather a few more details for my own understanding... Source: almost 4 years ago

AWS Deep Learning AMIs mentions (3)

  • Machine Learning Best Practices for Public Sector Organizations
    AWS Deep Learning AMIs can be used to accelerate deep learning by quickly launching Amazon EC2 instances. - Source: dev.to / over 3 years ago
  • Unable to host a Flask App consisting of an Image Classification Model coded in Pytorch to a free tier EC2 instance. The issue occurs at requirements installation i.e The torch v1.8.1 installation gets stuck at 94%.
    Ok a bit more on topic of your question. Set up a docker locally on your computer, pick a relevant image with all the python stuff and then do pip install -r requirements -t ./dependencies zip it up, upload to S3 and then get it from there and use on the EC2 instance. Or look into using Deep Learning AMIs they should have pytorch installed: https://aws.amazon.com/machine-learning/amis/. Source: about 4 years ago
  • Is Sagemaker supposed to replace Keras or PyTorch? Or Tensorflow?
    Literally nothing stops you from running EC2 instance with GPU and configuring it yourself. There are even AMIs specialized for ML workloads with everything preconfigured and ready to use - https://aws.amazon.com/machine-learning/amis/. Source: about 4 years ago

What are some alternatives?

When comparing pgAdmin and AWS Deep Learning AMIs, you can also consider the following products

DBeaver - DBeaver - Universal Database Manager and SQL Client.

AWS Auto Scaling - Learn how AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.

DataGrip - Tool for SQL and databases

Faronics Deep Freeze - Faronics Deep Freeze provides the ultimate workstation protection by preserving the desired computer configuration and settings.

HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.

Amazon Simple Workflow Service (SWF) - Amazon SWF helps developers build, run, and scale background jobs that have parallel or sequential steps.

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