Software Alternatives, Accelerators & Startups
Register | Login

Zabbix VS TensorFlow

Compare Zabbix VS TensorFlow and see what are their differences

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

Zabbix logo Zabbix

Track, record, alert and visualize performance and availability of IT resources

TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • Zabbix Landing page
    Landing page //
    2024-10-02
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Zabbix features and specs

  • Open-source
    Zabbix is free and open-source, allowing for extensive customization and modification to meet specific needs without licensing costs.
  • Scalability
    Zabbix can handle a large number of devices and data points, making it suitable for both small businesses and large enterprises.
  • Comprehensive Monitoring
    Zabbix offers a wide range of monitoring capabilities including servers, networks, cloud services, and applications.
  • Alerting and Notification
    It provides robust alerting mechanisms, allowing notifications via email, SMS, and other methods.
  • Flexible Configuration
    The system allows for detailed and flexible configuration, accommodating various specific monitoring requirements.
  • Extensive API
    Zabbix comes with a comprehensive API that allows for integration with third-party tools and custom automation scripts.
  • Strong Community Support
    As an open-source project, Zabbix has a strong community that can provide support and share best practices.

Possible disadvantages of Zabbix

  • Complex Setup and Configuration
    Initial setup and configuration can be complicated and time-consuming, often requiring a steep learning curve.
  • Resource Intensive
    Zabbix can be resource-intensive, particularly on the database side, which might require substantial hardware resources for large deployments.
  • User Interface
    The user interface is considered less modern and user-friendly compared to some commercial alternatives.
  • Documentation
    While comprehensive, the documentation can sometimes be difficult to navigate for new users.
  • Maintenance Effort
    Ongoing maintenance, such as updates and troubleshooting, can be labor-intensive.
  • Dependency on MySQL
    The heavy reliance on MySQL databases can be a disadvantage for users preferring other database technologies.
  • Initial Costs for Large Scale Deployments
    Although the software is free, the costs associated with setting up and maintaining the necessary infrastructure and hardware can be significant, especially for larger deployments.

TensorFlow features and specs

  • Comprehensive Ecosystem
    TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
  • Community and Support
    TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
  • Flexibility
    TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
  • Integrations
    TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
  • Versatility
    TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

  • Complexity
    TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
  • Performance Overhead
    Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
  • Verbose Syntax
    The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
  • Compatibility Issues
    Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
  • Mobile Deployment
    While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

Zabbix videos

+ Add

An overview of Zabbix 4.0 and how we are using it.

More videos:

  • Review - Zabbix Monitoring Solution - Overview
  • Review - ZABBIX Network Discovery For Dynamic Deployments

TensorFlow videos

+ Add

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to Zabbix and TensorFlow)

Zabbix

TensorFlow

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

User comments

Share your experience with using Zabbix and TensorFlow. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Zabbix and TensorFlow

Zabbix Reviews

  1. Stan
    · Founder at SaaSHub ·
    Indispensable

    Zabbix has been part of my toolbox for quite some time. I can easily say it's an indispensable tool for me now.

    Managing a dozen servers without Zabbix would be unimaginable. I'm monitoring all of this: CPU, Memory, Hard-drives, website response times, downtime. The UI might be a bit "old school", but everything works flawlessly.

    With regards to hard-drive monitoring, I love the machine learning option that allows you to "predict" the number of days before running out of space. That's quite helpful, as I've got some of my servers down due to running out of space multiple times in the past (before I was using Zabbix).

    👍 Pros:    Open-source|It can monitor everything
    👎 Cons:    The ui is a bit unintuitive in some cases
Self Hosting Like Its 2025
If you’re looking for straightforward monitoring and the thought of setting up a full Zabbix or Grafana stack seems daunting, this software is a real lifesaver. With just one deployment, you can monitor your services and receive notifications through a wide variety of channels including…
Source: kiranet.org
11 Best Nagios Alternatives (Free & Open Source) in 2024
Unlimited scaling: Zabbix is a flexible software that lets you monitor anything you want. It is highly scalable as it helps you manage both multi-tenant enterprise environments and your home.
Source: www.guru99.com
The Best Nagios Alternatives for Server, Application and Network Monitoring
Zabbix is a very strong competitor to Nagios and its development is very encouraging. Zabbix is completely free to use, which makes it a competitor to Nagios Core. Zabbix beats Nagios in the free monitoring market because it has a good frontend, which Nagios Core lacks and it also provides NetFlow monitoring, which isn’t present in Nagios Core – that is a separate paid...
Source: www.websentra.com
The 10 Best Nagios Alternatives in 2024 (Paid and Open-source)
Zabbix, a widely adopted open-source monitoring tool, offers a range of practical features. It allows you to monitor various aspects of your system, including transactions, application performance, and real browser monitoring. With ready-to-use templates for different servers and operating systems, Zabbix simplifies the monitoring process.
Source: betterstack.com
Top 11 Grafana Alternatives & Competitors [2024]
Zabbix offers a unified view of the entire IT infrastructure through its user-friendly web-based interface. It delivers potent visualization capabilities through customizable dashboards, complemented by robust alerting mechanisms and comprehensive support for alert escalations.
Source: signoz.io

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...
Source: www.assemblyai.com

Social recommendations and mentions

TensorFlow might be a bit more popular than Zabbix. We know about 7 links to it since March 2021 and only 5 links to Zabbix. 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.

Zabbix mentions (5)

  • Learning Resources
    Official Zabbix trainings, documentation on zabbix.com ? Source: over 2 years ago
  • zabbix installation
    Hallo, do you know a howto to install zabbix on an ubuntu 20.04 ? I tried the manuals from zabbix.com for MySQL Apache but it didn't work. Source: about 3 years ago
  • How I am getting experience as a linux admistrator (Follow Up)
    He suggested that I indeed should set up a home-lab. To be specific he said that I should create a minimal install of Centos 8 and install zabbix server on it (https://zabbix.com) and monitor a whole bunch of other VMs, services and stuff.. He said that I should set up a variety of VMs and also maybe host a website on one of them. And then if I was able to do that, I could help to share a load of zabbix related... Source: about 3 years ago
  • Ubuntu Impish 21.10 / Zabbix 6.0 LTS
    This is a fresh 21.10 install, using the install repo as detailed on the zabbix.com download page. Source: about 3 years ago
  • One dev conference speaker's family member died, need your help to fill the speaking slot on Nov 27/28
    Well, if you can't find anyone, I am more than happy to fill the slot with something regarding Zabbix - just let me know ;). Source: over 3 years ago

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
View more

What are some alternatives?

When comparing Zabbix and TensorFlow, you can also consider the following products

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Nagios - Complete monitoring and alerting for servers, switches, applications, and services

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

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Loading...