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Databricks VS Nagios

Compare Databricks VS Nagios and see what are their differences

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Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Nagios logo Nagios

Complete monitoring and alerting for servers, switches, applications, and services
  • Databricks Landing page
    Landing page //
    2023-09-14
  • Nagios Landing page
    Landing page //
    2023-10-21

Databricks features and specs

  • Unified Data Analytics Platform
    Databricks integrates various data processing and analytics tools, offering a unified environment for data engineering, machine learning, and business analytics. This integration can streamline workflows and reduce the complexity of data management.
  • Scalability
    Databricks leverages Apache Spark and other scalable technologies to handle large datasets and high computational workloads efficiently. This makes it suitable for enterprises with significant data processing needs.
  • Collaborative Environment
    The platform offers collaborative notebooks that allow data scientists, engineers, and analysts to work together in real-time. This enhances productivity and fosters better communication within teams.
  • Performance Optimization
    Databricks includes various performance optimization features such as caching, indexing, and query optimization, which can significantly speed up data processing tasks.
  • Support for Various Data Formats
    The platform supports a wide range of data formats and sources, including structured, semi-structured, and unstructured data, making it versatile and adaptable to different use cases.
  • Integration with Cloud Providers
    Databricks is designed to work seamlessly with major cloud providers like AWS, Azure, and Google Cloud, allowing users to easily integrate it into their existing cloud infrastructure.

Possible disadvantages of Databricks

  • Cost
    Databricks can be expensive, especially for large-scale deployments or high-frequency usage. It may not be the most cost-effective solution for smaller organizations or projects with limited budgets.
  • Complexity
    While powerful, Databricks can be complex to set up and manage, requiring specialized knowledge in Apache Spark and cloud infrastructure. This might lead to a steeper learning curve for new users.
  • Dependency on Cloud Providers
    Being heavily integrated with cloud providers, Databricks might face issues like vendor lock-in, where switching providers becomes difficult or costly.
  • Limited Offline Capabilities
    Databricks is primarily designed for cloud environments, which means offline or on-premise capabilities are limited, posing challenges for organizations with strict data governance policies.
  • Resource Management
    Efficiently managing and allocating resources can be challenging in Databricks, especially in large multi-user environments. Mismanagement of resources could lead to increased costs and reduced performance.

Nagios features and specs

  • Extensive Community Support
    Nagios has a large and active user community, which means you can easily find help and resources online. There are numerous plugins and add-ons developed by the community that can extend the functionality of Nagios.
  • Highly Customizable
    Nagios is highly customizable and flexible. It allows you to tailor monitoring to suit your specific needs, including creating custom plugins, modifying configuration files, and integrating with other tools.
  • Comprehensive Monitoring
    Nagios provides detailed monitoring of network services, host resources, and infrastructure systems. This includes the ability to monitor CPU load, disk usage, memory, and more.
  • Alerting and Notification
    Nagios has robust alerting and notification features that ensure you can stay informed of any issues or downtime. Alerts can be sent via email, SMS, or other communication channels.
  • Scalable
    Nagios is scalable and can grow with your organization. It supports a large number of hosts and services, making it suitable for both small and large enterprises.

Possible disadvantages of Nagios

  • Steep Learning Curve
    Nagios can be quite complex to set up and configure, especially for newcomers. The learning curve is steep, requiring time and effort to fully understand and utilize its capabilities.
  • Manual Configuration
    A significant amount of configuration is manual, particularly in the open-source version. This can be time-consuming and prone to human error, especially in larger environments.
  • Interface
    The user interface of Nagios is often considered outdated and less intuitive compared to other modern monitoring tools. The web interface can be difficult to navigate and is not as visually appealing.
  • Performance Issues
    Nagios can experience performance issues, particularly when monitoring a large number of hosts and services. It can become resource-intensive, requiring careful optimization and tuning.
  • Cost of Enterprise Version
    The enterprise version of Nagios, Nagios XI, comes with a significant cost. While it offers additional features, support, and a more user-friendly interface, it might not be affordable for all organizations.

Analysis of Nagios

Overall verdict

  • Nagios is generally considered a good tool, especially for users who require a highly customizable and adaptable monitoring solution. It is reliable and well-established in the IT industry.

Why this product is good

  • Nagios is considered a robust monitoring tool due to its flexibility, comprehensive network and application monitoring capabilities, and wide adoption in the industry. It allows system administrators to monitor critical infrastructure components, such as network protocols, applications, services, servers, and network infrastructure. Its active community and plugin ecosystem provide extensive customization options.

Recommended for

  • Organizations with complex IT environments needing comprehensive monitoring
  • System administrators who require flexibility and customization
  • Users who are comfortable with manual configurations and open-source solutions
  • Companies seeking a large community and a wealth of plugins for various use cases

Databricks videos

+ Add

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Nagios videos

+ Add

Stop using Nagios - Andy Sykes

More videos:

  • Review - Bernd Erk - Why favour Icinga over Nagios
  • Review - How Nagios XI Works

Category Popularity

0-100% (relative to Databricks and Nagios)

Databricks

Nagios

Data Dashboard
100 100%
Data Dashboard
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Big Data Analytics
100 100%
Big Data Analytics
0% 0
Log Management
0 0%
Log Management
100% 100

User comments

Share your experience with using Databricks and Nagios. For example, how are they different and which one is better?
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Reviews

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

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Source: www.shipyardapp.com
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.
Source: blog.bismart.com

Nagios Reviews

11 Best Nagios Alternatives (Free & Open Source) in 2024
Nagios is an open source network monitoring solution. It helps organizations to identify and resolve IT infrastructure issues. However, Nagios could be difficult integrate into automatic provisioning processes. There are few other issues with Nagios as well. Here, is a curated list of top tools that can replace Nagios. This list consists of paid as well as open-source...
Source: www.guru99.com
The Best Nagios Alternatives for Server, Application and Network Monitoring
Nagios is a very strong system monitoring package but its ability to compete in both the free and paid system monitoring market is frequently challenged. The free tool is very comprehensive. However, the Nagios team has taken away the traffic analysis functions from this, moving them off into a separate paid tool, which puts Nagios Core at a disadvantage when compared to...
Source: www.websentra.com
The 10 Best Nagios Alternatives in 2024 (Paid and Open-source)
It’s also important to note that Nagios is completely open-source, which means that it’s free to use. However, “free to use” doesn’t mean that it won’t cost you anything. Often, the reason users look for alternatives to tools like Nagios is because of their open-source nature. Self-hosting a tool of this magnitude can be even more expensive than purchasing a SaaS subscription.
Source: betterstack.com
The Best Cacti Monitoring Alternatives
Nagios is free for small environments with seven or fewer nodes and hosts. Its paid version starts at $1995 for the license and is priced per user. There is also a variety of free training options for Nagios available online. Both of Nagios’ paid versions include a free trial.
Source: www.webservertalk.com
10 Best Linux Monitoring Tools and Software to Improve Server Performance [2022 Comparison]
Nagios Core is an open-source Linux/Unix systems monitoring and alerting tool that can be extended through custom plugins, providing flexible Linux server monitoring. It remotely executes different plugins (executables or scripts) on your Linux server using the NRPE (Nagios Remote Plugin Executor) add-on, which gives you comprehensive monitoring data, including OS metrics,...
Source: sematext.com

Social recommendations and mentions

Based on our record, Databricks seems to be more popular. It has been mentiond 18 times since March 2021. 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.

Databricks mentions (18)

  • Platform Engineering Abstraction: How to Scale IaC for Enterprise
    Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / 9 months ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 2 years ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 3 years ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 3 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 3 years ago
View more

Nagios mentions (0)

We have not tracked any mentions of Nagios yet. Tracking of Nagios recommendations started around Mar 2021.

What are some alternatives?

When comparing Databricks and Nagios, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

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