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Google Cloud Machine Learning VS AWS AppSync

Compare Google Cloud Machine Learning VS AWS AppSync and see what are their differences

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

Google Cloud Machine Learning logo Google Cloud Machine Learning

Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

AWS AppSync logo AWS AppSync

AWS AppSync automatically updates the data in web and mobile applications in real time, and updates data for offline users as soon as they reconnect.
  • Google Cloud Machine Learning Landing page
    Landing page //
    2023-09-12
  • AWS AppSync Landing page
    Landing page //
    2023-04-29

Google Cloud Machine Learning features and specs

  • Integrated Environment
    Vertex AI offers a unified API and user interface for all types of machine learning workloads, simplifying the development and deployment process.
  • Scalability
    It allows for easy scaling from individual experiments to large-scale production models, leveraging Google Cloud’s robust infrastructure.
  • Automated Machine Learning (AutoML)
    Vertex AI includes AutoML capabilities that enable users to build high-quality models with minimal intervention, making it accessible for users with varying expertise levels.
  • Integration with Google Services
    Seamless integration with other Google services, such as BigQuery, Dataflow, and Google Kubernetes Engine (GKE), enhances data processing and model deployment capabilities.
  • Cost Management
    Detailed cost management and budgeting tools help users monitor and control expenses effectively.
  • Pre-trained Models
    Access to Google's extensive library of pre-trained models can accelerate the development process and improve model performance.
  • Security
    Google Cloud's security protocols and compliance certifications ensure that data and models are safeguarded.

Possible disadvantages of Google Cloud Machine Learning

  • Complexity
    Even though Vertex AI aims to simplify machine learning operations, it may still be complex for beginners to fully leverage all its features.
  • Cost
    While providing robust tools, the expenses can add up, especially for large-scale operations or heavy usage of cloud resources.
  • Learning Curve
    There is a steep learning curve associated with mastering the various tools and services offered within the Vertex AI ecosystem.
  • Dependency on Google Ecosystem
    Heavy reliance on other Google Cloud services could become a hindrance if there's a need to migrate to a different cloud provider.
  • Limited Customization
    Pre-trained models and AutoML might limit the level of customization that advanced users require for highly specific use cases.

AWS AppSync features and specs

  • Managed GraphQL Service
    AWS AppSync provides a fully managed GraphQL service, which simplifies the setup and scalability of GraphQL APIs without the need to manage servers.
  • Real-time Data Synchronization
    It supports real-time updates with WebSockets, allowing applications to receive updates instantly without polling the server.
  • Integrated with AWS Services
    AppSync integrates seamlessly with other AWS services like DynamoDB, Lambda, and RDS, making it easier to develop backend solutions.
  • Offline Support
    AWS AppSync enables offline capabilities with automatic local caching and data synchronization upon reconnection, enhancing user experience in applications with intermittent connectivity.
  • Advanced Security Features
    Offers a variety of security mechanisms, including IAM, API key, OpenID Connect, and Amazon Cognito for authentication, ensuring secure access to APIs.

Possible disadvantages of AWS AppSync

  • Complex Pricing Model
    It has a complex pricing structure that involves multiple components, which might be difficult to estimate and manage for cost-effective use, especially for startups and small businesses.
  • Learning Curve
    AWS AppSync can have a steep learning curve for developers who are not familiar with GraphQL or AWS services, making the initial setup and development more time-consuming.
  • Vendor Lock-in
    Relying heavily on AWS services, including AppSync, can lead to vendor lock-in, making it challenging to switch providers or create multi-cloud strategies in the future.
  • Limitations with Complex Queries
    While AppSync is efficient for many applications, it may face limitations in supporting complex queries or advanced data transformations, which potentially require additional Lambda functions.

Analysis of AWS AppSync

Overall verdict

  • Yes, AWS AppSync is a good choice for developers looking to implement scalable, real-time, and secure APIs with minimal overhead. Its serverless nature and extensive feature set make it a versatile tool for a wide range of use cases.

Why this product is good

  • AWS AppSync is considered a good choice for building modern applications because it offers managed GraphQL and Pub/Sub APIs that simplify application development. It provides real-time data synchronization and offline capabilities, making it ideal for mobile and web applications. With its serverless architecture, it allows automatic scaling and reduces operational overhead. AppSync integrates seamlessly with other AWS services, enhancing security, scalability, and operational transparency.

Recommended for

  • Developers building modern web and mobile applications
  • Teams requiring real-time data synchronization
  • Organizations looking for serverless API management
  • Projects that need seamless integration with other AWS services
  • Developers preferring GraphQL for flexible front-end and back-end communication

Google Cloud Machine Learning videos

No Google Cloud Machine Learning videos yet. You could help us improve this page by suggesting one.

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AWS AppSync videos

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Why I don't use AWS AppSync

More videos:

  • Demo - AWS AppSync Demo Application - Restaurants Review

Category Popularity

0-100% (relative to Google Cloud Machine Learning and AWS AppSync)

Google Cloud Machine Learning

AWS AppSync

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Project Management
0 0%
Project Management
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Workflow Automation
0 0%
Workflow Automation
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 Google Cloud Machine Learning and AWS AppSync

Google Cloud Machine Learning Reviews

We have no reviews of Google Cloud Machine Learning yet.
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AWS AppSync Reviews

Best iPaaS Softwares
AWS AppSync automatically updates the data in web and mobile applications in real time, and updates data for offline users as soon as they reconnect. AppSync makes it easy to build collaborative mobile and web applications that deliver responsive, collaborative user experiences.
Source: iotbyhvm.ooo

Social recommendations and mentions

Google Cloud Machine Learning might be a bit more popular than AWS AppSync. We know about 34 links to it since March 2021 and only 33 links to AWS AppSync. 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.

Google Cloud Machine Learning mentions (34)

  • LangChain4j in Action: Building an AI Assistant in Java
    On the other hand, platforms like Azure AI Foundry, AWS Bedrock, or Vertex AI offer more complete and managed solutions. They take care of most of the heavy lifting like scaling, integrations, and evaluation, and they also include a solid security and governance layer. These platforms are very mature and production-ready. Microsoft, for example, already provides a responsible AI framework out of the box. These... - Source: dev.to / 17 days ago
  • Google Unveils Agent2Agent Protocol for Next-Gen AI Collaboration
    Google's introduction of new tools for building and managing multi-agent ecosystems through Vertex AI is a pivotal move for enterprises. The Agent Development Kit (ADK) is a notable feature, providing an open-source framework that allows users to create AI agents with fewer than 100 lines of code. This framework supports Python and integrates with the AI capabilities of Vertex AI. - Source: dev.to / 6 months ago
  • AI Innovations and Insights from Google Cloud Next 2025
    For further exploration, visit: Vertex AI Overview | Live API. - Source: dev.to / 6 months ago
  • Instrument your LLM calls to analyze AI costs and usage
    We use Vertex AI to simplify our implementation, to test different LLM providers and models, and to compare metrics such as cost, latency, errors, time to first token, etc, across models. - Source: dev.to / 6 months ago
  • Google Unveils Ironwood: 7th Gen TPU for Enhanced AI Inference
    Ironwood is part of Google's AI Hypercomputer architecture, a system optimized for AI workloads. This integrated supercomputing system leverages over a decade of AI expertise. It supports various frameworks such as Vertex AI and Pathways, enabling developers to utilize Ironwood effectively for distributed computing. - Source: dev.to / 6 months ago
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AWS AppSync mentions (33)

  • Real-Time Pub/Sub with AWS AppSync Events: Introducing WebSocket Message Publishing
    The initial launch of AWS AppSync Events enabled developers to easily broadcast real-time event data to millions of subscribers using secure and performant Serverless WebSocket APIs. With this new update, developers can utilize a single WebSocket connection for both publishing and receiving events, which significantly reduces implementation complexity. - Source: dev.to / 7 months ago
  • Automatically Generate REST and GraphQL APIs From Your Database
    StepZen and AWS AppSync excel at generating GraphQL APIs for MySQL and NoSQL databases. StepZen simplifies the process of combining multiple data sources, while AppSync provides smooth integration with AWS services and real-time data capabilities. - Source: dev.to / 10 months ago
  • Building Well-Architected AWS AppSync GraphQL APIs
    AWS AppSync is a fully managed serverless service from AWS for building scalable and resilient GraphQL APIs. - Source: dev.to / 12 months ago
  • Testing Serverless Applications on AWS
    For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads. - Source: dev.to / almost 2 years ago
  • Workarounds for AppSync Subscriptions triggers via Lambda functions
    AWS AppSync is a serverless GraphQL offering by AWS, previously I authored a blog about AWS AppSync 101 which gets you up to speed with the capabilities of AppSync and how you can leverage them in your serverless applications. - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing Google Cloud Machine Learning and AWS AppSync, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

dapulse - Lead by showing your team the Big Picture. Get everyone working together on what's important.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Nintex - Cloud-based digital workflow management automation platform

NumPy - NumPy is the fundamental package for scientific computing with Python

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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