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Zabbix VS Pandas

Compare Zabbix VS Pandas and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Zabbix logo Zabbix

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

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • Zabbix Landing page
    Landing page //
    2024-10-02
  • Pandas Landing page
    Landing page //
    2023-05-12

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.

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

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

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Category Popularity

0-100% (relative to Zabbix and Pandas)

Zabbix

Pandas

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
Data Science Tools
0 0%
Data Science Tools
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 Zabbix and Pandas

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

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than Zabbix. While we know about 219 links to Pandas, we've tracked only 5 mentions of 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: almost 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

Pandas mentions (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / 7 days ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 23 days ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 27 days ago
  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
  • Sample Super Store Analysis Using Python & Pandas
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 8 months ago
View more

What are some alternatives?

When comparing Zabbix and Pandas, 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.

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

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!

OpenCV - OpenCV is the world's biggest computer vision library

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