Software Alternatives, Accelerators & Startups

Informatica Intelligent Data Platform VS AWS Shell

Compare Informatica Intelligent Data Platform VS AWS Shell and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Informatica Intelligent Data Platform logo Informatica Intelligent Data Platform

Unleash data's potential with Informatica infrastructure services that all roll up under a robust and intelligent data integration platform.

AWS Shell logo AWS Shell

An integrated shell for working with the AWS CLI. Contribute to awslabs/aws-shell development by creating an account on GitHub.
  • Informatica Intelligent Data Platform Landing page
    Landing page //
    2023-02-04
  • AWS Shell Landing page
    Landing page //
    2023-08-28

Informatica Intelligent Data Platform features and specs

  • Comprehensive Data Integration
    Informatica Intelligent Data Platform offers robust tools for data integration, allowing organizations to seamlessly integrate data from various sources. This ensures accuracy and consistency across enterprise data.
  • Scalability
    The platform is designed to scale with the organization’s needs, accommodating increasing volumes of data without compromising performance.
  • Advanced Data Management
    The platform provides advanced data management capabilities, including data quality, data governance, and metadata management, ensuring that data is reliable and trusted.
  • Cloud and Hybrid Deployments
    Informatica supports both cloud and on-premises deployments, providing flexibility to move data across different environments according to business requirements.
  • User-Friendly Interface
    The platform features an intuitive and user-friendly interface, making it easier for users to perform complex data tasks without extensive technical expertise.

Possible disadvantages of Informatica Intelligent Data Platform

  • Complexity
    Given its vast array of features and capabilities, getting started with Informatica can be complex, requiring significant time and expertise to implement effectively.
  • Cost
    Informatica can be costly, especially for small to medium enterprises, as its licensing and operational costs may be prohibitive compared to other data management solutions.
  • Steep Learning Curve
    New users may experience a steep learning curve due to the depth of features offered, necessitating comprehensive training and possibly impacting productivity initially.
  • Integration Challenges
    While integration is a strength, there can be challenges when dealing with very diverse or legacy systems, potentially requiring custom solutions.
  • Dependency on Vendor
    Organizations may experience dependency on Informatica for updates, support, and additional features, which can affect flexibility and long-term planning.

AWS Shell features and specs

  • Interactive Environment
    AWS Shell provides an interactive command-line environment designed to help users interact more easily with AWS services. It enhances the user experience by offering features like auto-complete and command history.
  • Intelligent Recommendations
    The tool provides suggestions and documentation for AWS commands, which can be very helpful for both new and experienced users by reducing the time spent looking up documentation.
  • Command Completion
    AWS Shell supports inline command completion, which allows users to quickly access available commands and their options, improving efficiency and productivity.
  • Cross-Platform
    Being based on Python, AWS Shell is cross-platform and can be run on different operating systems like Windows, macOS, and Linux.

Possible disadvantages of AWS Shell

  • Outdated Repository
    The repository may not be actively maintained, leading to potential issues with compatibility with newer AWS SDK versions or missing features introduced in later AWS CLI releases.
  • Learning Curve
    Users who are accustomed to using the standard AWS CLI may need to spend time learning how to effectively leverage the interactive features of AWS Shell.
  • Limited Customization
    Compared to more advanced shell tools and integration features, AWS Shell may offer limited customization options for power users who wish to fine-tune their development environment.
  • Dependency on Python
    Since AWS Shell runs on Python, users need to ensure that Python is installed and configured, which could be a constraint for environments with strict software policies.

Category Popularity

0-100% (relative to Informatica Intelligent Data Platform and AWS Shell)
Data Integration
100 100%
0% 0
Developer Tools
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Weather Apps
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, AWS Shell seems to be more popular. It has been mentiond 4 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.

Informatica Intelligent Data Platform mentions (0)

We have not tracked any mentions of Informatica Intelligent Data Platform yet. Tracking of Informatica Intelligent Data Platform recommendations started around Mar 2021.

AWS Shell mentions (4)

  • 9 Ways to an EKS Cluster - Way 2 - AWS CLI
    While at it - I heartily recommend you to install aws-shell which boosts your aws cli productivity by providing graphical autocompletion, hints and shortcuts as shown in the image below. I only discovered it recently myself and it's definitely a game changer! - Source: dev.to / over 1 year ago
  • Starting to use AWS CLI at work. Need beginner tips.
    Aws-shell will improve your life :) https://github.com/awslabs/aws-shell. Source: over 3 years ago
  • My Most Loved AWS Developer Tools & Resources
    With aws-shell you're able to quickly run commands against any AWS API from your local terminal with great auto-completion. I use it very regularly and it reduces the need to jump to the documentation. You can find it on Github but can also install it easily via your favorite package manager like homebrew. - Source: dev.to / over 3 years ago
  • MTurk Requester Notify-workers fails with endpoint URL error
    If so the region config is explained here: https://github.com/awslabs/aws-shell#configuration. Source: about 4 years ago

What are some alternatives?

When comparing Informatica Intelligent Data Platform and AWS Shell, you can also consider the following products

Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

AWS Amplify - JavaScript library for app development using cloud services

data.world - The social network for data people

LocalStack - LocalStack collects & analyzes the social media activity on every business in America. 

MarkLogic Data Hub Platform - Data Hub Central is the collaborative, self-service user experience for building your cloud data hub on MarkLogic Data Hub Service.

aws-cli - Universal Command Line Interface for Amazon Web Services