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Metaflow VS ManageEngine Patch Manager Plus

Compare Metaflow VS ManageEngine Patch Manager Plus and see what are their differences

Metaflow

Framework for real-life data science; build, improve, and operate end-to-end workflows.

Metaflow Landing page
Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
ManageEngine Patch Manager Plus

Patch Manager Plus, an all-round patching solution, offers automated patch deployment for Windows, macOS, and Linux endpoints, plus patching support for 350+ third-party applications You can use it to patch computers within LAN and WAN.

ManageEngine Patch Manager Plus Landing page
Rating
0 reviews
Pricing
Paid Free trial $245 / Annually (50 computers and single user license)
Alternatives Is it good?
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. sponsored
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.

Which is more popular?

Based on our record, Metaflow seems to be more popular. It has been mentioned 14 times since March 2021.

social mentions
14 vs 0
Workflow Automation popularity
100% vs 0%
alternatives listed
50 vs 100

Base details

Website, pricing, platforms and company facts side by side.

Metaflow
ManageEngine Patch Manager Plus
Website metaflow.org manageengine.com
Pricing
Open source
Paid Free trial $245 / Annually (50 computers and single user license) Official pricing
Platforms —
Android iOS Cross Platform Windows Mac OSX Linux +3
Listed in
Workflow Automation Automation Data Pipelines Web Service Automation +1
Patch Management IT Asset Management Cyber Security Network Security Third-party Patch Management +2

About Metaflow and ManageEngine Patch Manager Plus

In their own words, as submitted to SaaSHub.

Metaflow
ManageEngine Patch Manager Plus

No description of Metaflow yet.

Patch Manager Plus is an all round solution for your enterprise that enables you to manage and distribute patches to endpoints across the IT network. These endpoints consist of laptops, servers and workstations. Regularly updating applications across these systems, heightens the over all security...

Read more about ManageEngine Patch Manager Plus

Features and specs

What each product offers, as listed by its team.

Metaflow 5 features
ManageEngine Patch Manager Plus 6 features
  • Ease of Use
    Metaflow is designed with a strong focus on user experience, providing users with a simple and user-friendly interface for building and managing workflows. Its Pythonic API makes it easy for data scientists to work with complex data workflows without needing to learn a lot of new concepts.
  • Scalability
    Metaflow supports scalable data workflows, allowing users to run their workflows seamlessly from a laptop to the cloud. It integrates well with AWS, enabling users to utilize Amazon's scalable infrastructure for processing large datasets.
  • Versioning
    Metaflow provides built-in support for data and model versioning, making it easier for teams to track changes and reproduce results. This feature is crucial for maintaining consistency and reliability in machine learning projects.
  • Integration with Popular Tools
    Metaflow integrates well with popular data science and machine learning tools, including Jupyter notebooks and AWS services, enhancing its usability within existing data ecosystems.
  • Error Handling and Monitoring
    Metaflow offers robust error handling and monitoring capabilities, allowing users to track the execution of workflows, identify errors, and debug issues efficiently.

Possible disadvantages

  • AWS Dependency
    While Metaflow supports other infrastructures, it is tightly integrated with AWS. Users who do not use AWS may find it less convenient compared to other tools that are more agnostic in their cloud support.
  • Limited Support for Non-Python Environments
    Metaflow primarily supports Python, which might be a limitation for teams or projects that rely heavily on other programming languages for their workflows.
  • Learning Curve for Advanced Features
    Although Metaflow is designed to be user-friendly, utilizing its advanced features and realizing its full potential can have a steep learning curve, especially for users without prior experience with workflow management systems.
  • Community and Ecosystem Size
    Compared to some of its competitors, Metaflow has a smaller community and ecosystem, which might limit the availability of third-party resources, plugins, and community support.
  • Enterprise Features
    Some advanced enterprise features, while robust, may not be as developed or extensive compared to other dedicated data processing and workflow management platforms.
  • Automate patch management
  • Cross-platform support
  • Third party applications patching
  • Flexible deployment policies
  • Test & approve patches
  • Windows 10 feature update deployment

Analysis

An editorial look at what each product does well and who it suits.

Metaflow
ManageEngine Patch Manager Plus

No analysis of Metaflow yet.

Overall verdict

  • ManageEngine Patch Manager Plus is a robust and effective solution for organizations seeking to improve their patch management processes. Its comprehensive feature set, combined with ease of use and reliable performance, makes it a strong choice for businesses of all sizes.

Why this product is good

  • ManageEngine Patch Manager Plus is well-regarded for its user-friendly interface, extensive patch management capabilities, and automation features. It supports a wide range of operating systems and third-party applications, making it a versatile solution for various IT environments. Users appreciate its ability to streamline the patching process, reduce vulnerabilities, and ensure compliance with security standards.

Recommended for

    This solution is recommended for IT administrators and organizations that require a reliable way to manage the patching of multiple systems and applications, especially those with diverse IT environments or limited resources to dedicate to manual patch management. It’s particularly suitable for medium to large enterprises looking to enhance their security posture and compliance efforts.

Videos

Walkthroughs and reviews on video.

Metaflow 2 videos + Add
ManageEngine Patch Manager Plus 1 video + Add

useR! 2020: End-to-end machine learning with Metaflow (S. Goyal, B. Galvin, J. Ge), tutorial

More videos

  • Review - Screencast: Metaflow Sandbox Example

Patch management free training

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Metaflow
ManageEngine Patch Manager Plus
100% 100%
Workflow Automation
0% 0%
0% 0%
Patch Management
100% 100%
100% 100%
Workflows
0% 0%
0% 0%
Monitoring Tools
100% 100%

User comments

Share your experience with using Metaflow and ManageEngine Patch Manager Plus. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Metaflow no reviews yet
ManageEngine Patch Manager Plus no reviews yet

We have no reviews of ManageEngine Patch Manager Plus yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Metaflow 14 mentions
ManageEngine Patch Manager Plus 0 mentions
  • 20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
    Metaflow is an open source framework developed at Netflix for building and managing ML, AI, and data science projects. This tool addresses the issue of deploying large data science applications in production by allowing developers to... - Source: dev.to / almost 2 years ago
  • Recapping the AI, Machine Learning and Computer Meetup — August 15, 2024
    As a data scientist/ML practitioner, how would you feel if you can independently iterate on your data science projects without ever worrying about operational overheads like deployment or containerization? Let’s find out by walking you... - Source: dev.to / about 2 years ago
  • What are some open-source ML pipeline managers that are easy to use?
    I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: over 3 years ago

View more

Tracking ManageEngine Patch Manager Plus since Mar 2021.

Alternatives to Metaflow and ManageEngine Patch Manager Plus

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