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Google Cloud Machine Learning VS Cyclr

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

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Contents:
  1. ยป Base Details
  2. ยป Reviews
  3. ยป 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.

Cyclr logo Cyclr

Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS.
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  • Google Cloud Machine Learning Landing page
    Landing page //
    2023-09-12
  • Cyclr Cyclr Website
    Cyclr Website //
    2024-08-06

Cyclr is a SaaS integration toolkit for SaaS platforms and app developers, providing a complete solution to serve your customers integration needs -- all from within your application. Cyclr enables you to deliver integrations to 100s of popular apps and services with low-code and low engineering overhead. Cyclr also handle all the updates, cutting development teams integration maintenance overhead.

Integrations are created using a drag and drop designer, enabling members of your wider teams (customer success, sales and support) to build and publish new integrations and workflows in minutes.

Integrations can then be published directly into your application so your users can self-serve. This can be achieved by building your own UI on top of Cyclr's fully featured API, or through deploying their white-labelled and completely customisable embedded marketplace.

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 Cloudโ€™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.

Cyclr features and specs

  • Pre-built Connectors
    +400
  • Embedded Integration Marketplace
  • Low Code Integration Builder
  • SOC 2 Type 2 Accreditation
  • Private Cloud Deployments
  • Proxy API

Analysis of Cyclr

Overall verdict

  • Cyclr is generally considered a good solution for businesses looking to streamline their processes and improve data integration across various platforms. Its robust features and user-centric design make it a competitive option in the iPaaS market.

Why this product is good

  • Cyclr is an integration platform as a service (iPaaS) that allows users to connect and automate workflows across multiple applications and services. It is known for its user-friendly drag-and-drop interface, extensive library of pre-built connectors, and flexibility in creating custom integrations. Businesses often choose Cyclr for its ease of use, scalability, and ability to reduce manual data entry and improve operational efficiency.

Recommended for

    Cyclr is recommended for small to medium-sized businesses and companies seeking to automate their processes without needing extensive technical expertise. It is particularly beneficial for those who need to connect multiple SaaS tools and want a reliable and scalable solution for managing data flows and integrations.

Category Popularity

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

Google Cloud Machine Learning

Cyclr

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Log Management
0 0%
Log Management
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 Cyclr

Google Cloud Machine Learning Reviews

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

  1. NikoHail
    Flexible Embedded IPaas for SAAS

    Cyclr is a powerful embedded iPaaS platform that helps SaaS providers and service companies deliver scalable integrations with ease. With its low-code tools, 600+ connectors, and strong AI orchestration, it enables faster integration delivery while reducing engineering overhead.

    ๐Ÿ‘ Pros:    Low code|Wide connector ecosystem
    ๐Ÿ‘Ž Cons:    Pricing not transparent
  2. Moshe Strugano | Moshe Strugano and Co Law Firm
    Best platform to use

    This is the best platform to use. You can rely on this platform for different kind of work. Highly recommended

7 Best Zapier Alternatives to Meet Your Integration Needs
With Cyclr, you can use the APIs and SDKs made available by the apps in your techstack that you want to integrate รขย€ย” so you don't have to create your own from scratch. Cyclr offers a variety of capabilities ranging from authentication and authorization to storage and processing so you can design your desired integration flows.
Source: www.linkedin.com
The 7 Best Embedded iPaaS Solutions to Consider for 2024
Description: Cyclr is a UK-based provider of embedded Integration Platform as a Service (iPaaS) solutions. The vendor offers a white-labeled, low-code approach to offering in-app integrations for end-users. Cyclr touts a global user base and helps its customers enhance their native connectivity suites while simplifying the creation and deployment method. Flexible deployment...
Source: solutionsreview.com
13 data integration tools: a comparative analysis of the top solutions
Cyclr is an embedded integration technology ideal for enhancing SaaS platforms and applications. It improves the speed and satisfaction of customer integration needs directly from the application.
Source: blog.n8n.io
Best iPaaS Softwares
Cyclr is an embedded integration toolkit (iPaaS) empowering SaaS applications to rapidly expand their in-app integration capabilities. Create powerful integration workflows and automations using our low-code toolkit, including a drag and drop interface for building integrations between your platform and hundreds of third-party applications.
Source: iotbyhvm.ooo

Social recommendations and mentions

Based on our record, Google Cloud Machine Learning seems to be a lot more popular than Cyclr. While we know about 34 links to Google Cloud Machine Learning, we've tracked only 2 mentions of Cyclr. 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 / 18 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
View more

Cyclr mentions (2)

  • Swagger Alternative: Tired of UI Limitations? Top 10 API Clients!
    Cyclr provides embedded integration solutions specifically for SaaS and app vendors, offering a complete customer services solution. - Source: dev.to / 4 months ago
  • Automating update of contacts via FTP
    Other good solutions with similar features would be PieSync, Automate.io, Zapier, Cyclr, Workato. All of these app integrations allow you to connect your Mailchimp account with your SaaS app (in your case with your database). Source: over 4 years ago

What are some alternatives?

When comparing Google Cloud Machine Learning and Cyclr, 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.

Hyperview - DCIM software reinvented.

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

Netumo - Ensure healthy website performance, uptime, and free from vulnerabilities. Automatic checks for SSL Certificates, domains and monitor issues with your websites all from one console and get instant notifications on any issues.

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

NinjaOne - NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools.

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