Software Alternatives, Accelerators & Startups
Register | Login

Apache HTTP Server VS Databricks

Compare Apache HTTP Server VS Databricks and see what are their differences

Electe
Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future! 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

Apache HTTP Server logo Apache HTTP Server

Apache httpd has been the most popular web server on the Internet since April 1996

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Apache HTTP Server Landing page
    Landing page //
    2021-10-21
  • Databricks Landing page
    Landing page //
    2023-09-14

Apache HTTP Server features and specs

  • Open Source
    Apache HTTP Server is open source, meaning it is freely available for anyone to use, modify, and distribute. This promotes a large, active community that contributes to its maintenance and improvement.
  • Cross-Platform
    Apache is compatible with a variety of operating systems, including Unix, Linux, and Windows, providing flexibility and widespread usability.
  • Highly Customizable
    It offers a modular architecture that allows users to enable or disable features as needed, and to extend functionality through modules.
  • Robust Documentation
    Apache provides comprehensive and detailed documentation, which makes it easier for users to install, configure, and troubleshoot the server.
  • Widespread Adoption
    With its long history and widespread use, Apache has proven to be reliable and trusted by many organizations worldwide, ensuring a level of trust and stability.
  • Rich Feature Set
    Apache includes many features out-of-the-box, such as SSL/TLS support, URL redirection, authentication, load balancing, and more.

Possible disadvantages of Apache HTTP Server

  • Performance Overhead
    Compared to some lightweight web servers like Nginx, Apache can have higher memory and CPU usage, which may not be ideal for high concurrency needs.
  • Complex Configuration
    Apache's extensive customization options can lead to a complex configuration process, which may be challenging for beginners or those without specific expertise.
  • Less Efficient in Serving Static Content
    While Apache is highly capable, it may be less efficient at serving static content compared to specialized web servers like Nginx.
  • Initial Learning Curve
    Due to its rich features and configurability, new users might face a steep learning curve when first setting up and using Apache HTTP Server.
  • Module Compatibility Issues
    Sometimes, third-party modules may not always be compatible with the latest versions of Apache, causing potential integration issues.

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.

Apache HTTP Server videos

No Apache HTTP Server videos yet. You could help us improve this page by suggesting one.

Add video

Databricks videos

+ Add

Introduction to Databricks

More videos:

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

Category Popularity

0-100% (relative to Apache HTTP Server and Databricks)

Apache HTTP Server

Databricks

Web And Application Servers
100 100%
Web And Application Servers
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Web Servers
100 100%
Web Servers
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using Apache HTTP Server and Databricks. 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 Apache HTTP Server and Databricks

Apache HTTP Server Reviews

9 Best XAMPP Alternatives Cross Platform Web Server
However, compared to XAMPP and other popular web servers in the market Apache HTTP Server is a bit more complicated and is a little difficult to navigate for a complete newbie, but if you want to understand web development from the very fundamentals and understand how Apache as a web server software works then this software can be of great help to you.
Source: technicalustad.com
Litespeed vs Nginx vs Apache: Web Server Showdown
The most commonly used Web Server is by far Apache HTTP Server from the Software Apache Foundation. Created in 1995 by Rob McCool and Brian Behlendorf, among others. The name is a pun for A PatCHy server, as at the time of it’s inception, Apache was based on some existing code, along with some perhaps “hacky or clunky” software packages, enabling it to run. Additionally, the...
Source: chemicloud.com
10 Best alternatives of XAMPP servers for Windows, Linux and macOS
Apache is an open-source and free web server software that owns about 46% of websites worldwide. The official name is Apache HTTP Server and is maintained and developed by the Apache Software Foundation. This allows website owners to serve content on the web – hence the name “webserver”.
Source: www.isrgrajan.com
Top 5 open source web servers
As the Apache HTTP Server has been the most popular web server since 1996, it "benefits from great documentation and integrated support from other software projects." You can find more information on the Apache Foundation project page.
Source: opensource.com

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

Social recommendations and mentions

Based on our record, Apache HTTP Server should be more popular than Databricks. It has been mentiond 65 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.

Apache HTTP Server mentions (65)

  • Open Source: A Goldmine for Indie Hackers
    Open source software is built on the democratic idea that everyone should be able to inspect and contribute to the source code. Major projects like Linux, WordPress, and the Apache HTTP Server have shown how collaborative efforts can produce robust, scalable solutions. Indie hackers, often working with limited budgets, gain access to highly dependable tools such as Python and MySQL, which were originally developed... - Source: dev.to / 3 days ago
  • Unveiling a Licensing Legend: The Netscape Public License 1.1
    The Netscape Public License 1.1 served as a crucial stepping stone for modern open source licensing models. Developed by Netscape Communications Corporation, it was designed to encourage global community collaboration while safeguarding intellectual property. During the rise of the open source movement, the license provided a much-needed balance between transparency and control, making it a frequent subject of... - Source: dev.to / about 2 months ago
  • Unveiling GNU FDL 1.2: A Deep Dive into Free Documentation Licensing
    Adoption, Use Cases, and Comparative Analysis: Projects ranging from community manuals to major software endeavors like the Apache HTTP Server have adopted the GNU FDL 1.2 to preserve the spirit of open documentation. While its copyleft nature ensures that every modification remains free, critics argue that the rigidity of the license may deter commercial integration. This is contrasted with alternative licensing... - Source: dev.to / about 2 months ago
  • Unveiling GNU FDL 1.1: A Deep Dive into Free Documentation Licensing
    GNU FDL 1.1 was created by the Free Software Foundation (FSF) with the intent of bringing the same freedoms found in free software to documentation. Many notable projects, including those under the aegis of the Apache HTTP Server, have benefited from a documentation license that guarantees continued openness and proper attribution. Throughout our exploration, we will delve into the evolution, strengths, and... - Source: dev.to / about 2 months ago
  • Unveiling SISSL 1.1: A New Era in Open Source Fairness
    Community Engagement and Legal Robustness: The license has garnered attention not just for its legal precision but also for its emphasis on community fairness. Developers find reassurance in clear, transparent clauses that protect their rights while simultaneously opening avenues for innovation. The Apache HTTP Server serves as one notable example of a project that embraced similar principles in fostering a... - Source: dev.to / about 2 months ago
View more

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 / 7 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 / over 2 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 / almost 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

What are some alternatives?

When comparing Apache HTTP Server and Databricks, you can also consider the following products

Microsoft IIS - Internet Information Services is a web server for Microsoft Windows

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

Apache Tomcat - An open source software implementation of the Java Servlet and JavaServer Pages technologies

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.

LiteSpeed Web Server - LiteSpeed Web Server (LSWS) is a high-performance Apache drop-in replacement.

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.

Loading...