Product Avatar Image

The Apache Software Foundation

Show rating breakdown
4,401 reviews
  • 198 profiles
  • 100 categories
Average star rating
4.2
#1 in 2 categories
Grid® leader
Serving customers since
1999

Featured Products

Product Avatar Image
Apache HTTP Server Project

146 reviews

The Apache HTTP Server, commonly known as Apache, is a free and open-source web server software that has been a cornerstone of the internet since its inception in 1995. Developed and maintained by the Apache Software Foundation, Apache is designed to provide a secure, efficient, and extensible server that adheres to current HTTP standards. Its modular architecture allows for a wide range of functionalities, making it suitable for various web hosting needs, from serving static content to handling dynamic web applications. Key Features and Functionality: - Modular Architecture: Apache's design enables the addition of modules to extend its capabilities, such as authentication, URL rewriting, and proxying. - Cross-Platform Compatibility: It operates on numerous operating systems, including UNIX-like systems and Windows, ensuring flexibility across different environments. - Support for Multiple Protocols: Apache supports HTTP/1.1 and HTTP/2 protocols, facilitating efficient communication between clients and servers. - Security Features: With modules like mod_ssl, Apache provides robust support for TLS/SSL encryption, ensuring secure data transmission. - Virtual Hosting: This feature allows a single Apache instance to serve multiple websites, each with its own domain and configuration. - Integration with Programming Languages: Apache seamlessly integrates with languages such as PHP, Python, and Perl, enabling dynamic content generation. - Comprehensive Logging and Monitoring: It offers detailed logging capabilities, aiding in monitoring server performance and diagnosing issues. Primary Value and User Solutions: Apache's primary value lies in its reliability, flexibility, and extensive community support. It addresses the needs of web administrators and developers by providing a customizable and scalable platform for hosting websites and applications. Its open-source nature ensures continuous improvement and adaptation to emerging web technologies, making it a preferred choice for both small-scale personal projects and large-scale enterprise deployments.

Product Avatar Image
Apache Maven

168 reviews

Apache Maven is a robust build automation and project management tool primarily designed for Java projects, though it also supports languages like C#, Ruby, and Scala. Developed by the Apache Software Foundation, Maven streamlines the software development process by managing project builds, dependencies, and documentation through a standardized approach. Key Features and Functionality: - Project Object Model (POM): Centralizes project configuration in a single XML file, detailing project information, dependencies, and build instructions. - Dependency Management: Automatically handles project dependencies by downloading required libraries from repositories and managing versioning to ensure compatibility. - Build Lifecycle: Defines a series of build phases (e.g., compile, test, package) that standardize the build process, ensuring consistency across projects. - Plugin Architecture: Extensible through a wide range of plugins that add functionalities such as code compilation, testing, and packaging. - Convention over Configuration: Emphasizes predefined conventions to reduce the need for extensive configuration, allowing developers to focus on coding rather than build setup. Primary Value and Problem Solving: Maven addresses the complexities of modern software development by providing a uniform build system that simplifies project setup and maintenance. By automating dependency management, it eliminates the manual tracking of libraries and their versions, reducing the risk of conflicts and errors. Its standardized build lifecycle ensures that projects are built, tested, and packaged consistently, enhancing reliability and facilitating collaboration among development teams. Additionally, Maven's extensible plugin system allows for customization to meet specific project needs, making it a versatile tool in the software development lifecycle.

Profile Filters

All Products & Services

Product Avatar Image
Apache Spatial Information System

11 reviews

Apache Spatial Information System (SIS) is a free, open-source Java library designed for developing geospatial applications. It provides data structures for geographic features and associated metadata, along with methods to manipulate these structures. As an implementation of GeoAPI 3.0.2 interfaces, SIS is suitable for both desktop and server applications. Key Features and Functionality: - Metadata Handling: Supports the creation of metadata objects compliant with OGC/ISO international standards, facilitating interoperability and data sharing. - Coordinate Reference Systems (CRS): Enables the construction and transformation of CRS definitions, allowing for accurate geospatial data representation and conversion between different coordinate systems. - Raster Processing: Offers multi-threaded raster reprojection and isoline computation, enhancing the efficiency of processing large raster datasets. - Data Format Support: Provides reading and writing capabilities for various geospatial data formats, including GeoTIFF, NetCDF, ESRI formats, and more, ensuring compatibility with diverse data sources. - Unit Conversion: Implements JSR-385 for parsing, formatting, and converting measurement units, aiding in precise geospatial calculations. - Geodetic Operations: Supports various map projections such as Mercator, Transverse Mercator, Lambert Conic Conformal, and stereographic, essential for accurate mapping and spatial analysis. - Geohashes and MGRS: Provides encoding and decoding of geographic coordinates using Geohashes and the Military Grid Reference System (MGRS), facilitating efficient spatial indexing and location referencing. Primary Value and User Solutions: Apache SIS addresses the need for a standardized and comprehensive geospatial library in Java, enabling developers to build applications that require precise spatial data handling. By adhering to international standards, it ensures interoperability between different geospatial systems and datasets. Its modular architecture allows users to integrate specific functionalities as needed, making it a versatile tool for tasks ranging from metadata management to complex geodetic computations. This empowers organizations to effectively manage, analyze, and visualize geospatial information, supporting decision-making processes across various domains.

Product Avatar Image
Apache ORC

11 reviews

Apache ORC is a self-describing type-aware columnar file format for Hadoop workloads.

Product Avatar Image
Apache Allura

11 reviews

Apache Allura is an open source implementation of a software forge, a web site that manages source code repositories, bug reports, discussions, wiki pages, blogs, and more for any number of individual projects.

Product Avatar Image
openNLP

11 reviews

Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text that supports the common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution these tasks are usually required to build more advanced text processing services and includes maximum entropy and perceptron based machine learning.

Product Avatar Image
Apache Lucene

11 reviews

Apache Lucene, our flagship sub-project, provides Java-based indexing and search technology.

Product Avatar Image
Vraptor

11 reviews

VRaptor 4 delivers high productivity to your Java Web applications on top of CDI. VRaptor is an opensource MVC framework with a large developers and users community.

Product Avatar Image
Apache UIMA

11 reviews

Apache UIMA enables applications to be decomposed into components.UIMA additionally provides capabilities to wrap components as network services, and can scale to very large volumes by replicating processing pipelines over a cluster of networked nodes.

Product Avatar Image
Apache jclouds

10 reviews

Apache jclouds is an open source multi-cloud toolkit for the Java platform designed to give users the freedom to create applications that are portable across clouds while giving them full control to use cloud-specific features.

Product Avatar Image
Apache Kibble

10 reviews

Apache Kibble is a suite of tools for collecting, aggregating and visualizing activity in software projects.

Profile Name

Star Rating

2413
1581
322
54
31

The Apache Software Foundation Reviews

Review Filters
Profile Name
Star Rating
2413
1581
322
54
31
Yogesh S.
YS
Yogesh S.
Software Engineer | Backend & Cloud Developer | Java • Spring Boot • AWS | Building Scalable Enterprise Applications
06/13/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Reliable and lightweight, but definitely shows its age

Our engineering team primarily uses Tomcat to host several of our older internal Java web applications and a few core REST APIs that feed data to our main administrative dashboards. It typically sits behind an Nginx reverse proxy in our production environment, serving as the dependable workhorse for our servlet and JSP-based projects.The absolute best thing about Tomcat is that it just quietly does its job without demanding a massive server footprint. Compared to full-blown enterprise application servers, it boots up incredibly fast and is highly focused on doing exactly what it was designed to do. Because it has been an industry standard for so long, the community support is basically unmatched. If you run into a weird deployment error or a specific thread-hanging issue, chances are high that someone else solved that exact same problem on a forum ten years ago. Furthermore, being completely free and open-source means we can spin up as many instances as we need across our testing and staging environments without ever worrying about complex licensing roadblocks.
Sachin G.
SG
Sachin G.
Machine Learning Engineer | AI & Predictive Analytics Specialist | Python, TensorFlow, NLP & Cloud ML | Building Scalable Intelligent Systems
06/10/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Powerful for complex ML pipelines, but comes with a steep infrastructure learning curve

We use Apache Airflow as the central orchestrator for our entire machine learning and data engineering lifecycle. Specifically, it manages the schedules and dependencies for pulling raw data from our production databases, orchestrating daily feature engineering jobs, and kicking off automated model retraining pipelines. Once the models are evaluated, Airflow also triggers the deployment scripts to push updated model artifacts to our staging environment. It basically acts as the glue holding our data workflows together, ensuring that everything runs in the exact sequence required.What I appreciate most about Airflow is its "configuration as code" philosophy. Because every workflow is defined as a Python script, it fits perfectly into our existing development practices. We can version control our DAGs in Git, run code reviews on them, and easily write custom operators when the built-in ones don't quite fit our needs. The UI is also incredibly detailed; when a complex pipeline fails at 3:00 AM, the tree view and the ability to dig directly into the logs of a specific failed task save us an immense amount of troubleshooting time. The open-source community is massive, so if you are trying to connect Airflow to a database or a cloud service, chances are a robust provider package already exists.
Lokesh S.
LS
Lokesh S.
Results-Driven Data Scientist | Machine Learning | Predictive Analytics | Python | SQL | Power BI | NLP | AI Solutions for Business Growth
06/03/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Incredible flexibility with Python, but requires dedicated maintenance

Our data pipelines, and all machine learning workflows are orchestrated on top of Apache Airflow. We have a variety of ETL jobs running on a schedule and some more complicated multi-step ML training loops. Airflow is in the middle, consuming data from a number of production databases, running our data preprocessing scripts, feeding our modelling training pipelines, and sending the results to our data analytics dashboards and cloud storage. It's like the clock and the nervous system within our whole data architecture design.That's definitely the selling point of Airflow that everyone can't outrace from - configuration as code. Being completely in Python it gives us a lot of flexibility. I can work on real data workflows using common software engineering techniques such as git version control, code reviews, and unit-testing my code. The UI is also great for debugging: I'm sure someone is running a complex pipeline somewhere, at 3:00 AM some of their critical tasks are failing, and using the tree view and direct access to the task logs, I can be almost certain which task failed and why. Oh, and, because they have such a big community, we have an operator or a provider for almost any cloud service or tool we want to connect to.

About

Contact

HQ Location:
Wakefield, MA

Social

@TheASF

What is The Apache Software Foundation?

Community-led development since 1999. FoundationProjectsPeopleGet InvolvedDownloadSupport ApacheHome. We consider ourselves not simply a group of projects sharing a server, but rather a community of developers and users.

Details

Year Founded
1999
Website
knox.apache.org