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The Apache Software Foundation

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4,401 reviews
  • 198 profiles
  • 100 categories
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4.2
#1 in 2 categories
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Serving customers since
1999

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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.

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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.

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Spark SQL

46 reviews

Spark SQL lets you query structured data inside Spark programs, using either SQL or a familiar DataFrame API. Usable in Java, Scala, Python and R.

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Spark Streaming

40 reviews

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part.

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Apache OFBiz

38 reviews

Apache OFBiz is an open source product for the automation of enterprise processes that includes framework components and business applications for ERP (Enterprise Resource Planning), CRM (Customer Relationship Management), E-Business / E-Commerce, SCM (Supply Chain Management), MRP (Manufacturing Resource Planning), MMS/EAM (Maintenance Management System/Enterprise Asset Management), POS (Point Of Sale).

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Apache OpenOffice Writer

37 reviews

Writer has everything you would expect from a modern, fully equipped word processor. It is simple enough for a quick memo, yet powerful enough to create complete books with contents, diagrams, indexes, etc. You're free to concentrate on your ideas while Writer makes them look great.

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Cassandra

35 reviews

Cassandra's data model offers the convenience of column indexes with the performance of log-structured updates, strong support for denormalization and materialized views, and powerful built-in caching.

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Apache Sqoop

31 reviews

Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.

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Apache Arrow

31 reviews

Apache Arrow is a cross-language development platform designed for in-memory data processing and efficient data interchange. It provides a standardized, language-independent columnar memory format that supports both flat and hierarchical data structures. This format is optimized for analytical operations on modern hardware, including CPUs and GPUs, facilitating high-performance data analytics and seamless integration across various data processing systems. Key Features and Functionality: - Columnar Memory Format: Arrow's in-memory columnar format is tailored for efficient analytic operations, enabling vectorized computations that leverage modern processor capabilities. - Zero-Copy Data Sharing: The platform allows for zero-copy reads, enabling rapid data access without the overhead of serialization and deserialization, thus enhancing performance in data-intensive applications. - Multi-Language Support: Arrow offers libraries in multiple programming languages, including C++, Java, Python, R, and more, ensuring broad compatibility and ease of integration into diverse development environments. - Interoperability with Data Formats: It provides tools for reading and writing various file formats such as CSV, Apache Parquet, and Apache ORC, facilitating smooth data interchange between different systems. - In-Memory Analytics and Query Processing: Arrow includes components for in-memory analytics and query processing, supporting efficient data manipulation and analysis directly in memory. Primary Value and Problem Solved: Apache Arrow addresses the challenges associated with processing large datasets by offering a unified, efficient in-memory data representation. By standardizing the columnar memory format and providing zero-copy data sharing, it significantly reduces the computational overhead typically involved in data serialization and deserialization. This leads to faster data processing and analytics, enabling developers to build high-performance applications that can handle complex data structures across various programming languages and platforms. Arrow's interoperability with existing data formats and its support for multiple languages make it a versatile tool for developers aiming to optimize data workflows and enhance the performance of data-driven applications.

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Apache ODE

28 reviews

Apache ODE (Orchestration Director Engine) software is designed to execute business processes written following the WS-BPEL standard.

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Apache Geronimo

28 reviews

Apache Geronimo is an open source server runtime that integrates open source projects to create Java/OSGi server runtimes designed to meet the needs of enterprise developers and system administrators.

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The Apache Software Foundation Reviews

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Atharva P.
AP
Atharva P.
Cloud BI Engineer at ZS | Ex-Cognizant
07/30/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Powerful, Scalable Stream Processing with Apache Flink

Apache Flink is one of the most capable distributed stream processing frameworks available today. I particularly like its event-time processing, exactly-once state consistency, checkpointing, savepoints, stateful operators, CEP (Complex Event Processing), and support for both streaming and batch workloads through a unified execution engine. Performance has been excellent for high-throughput, low-latency processing of millions of events per second. The Web UI provides useful operational visibility into job execution, checkpoint status, task managers, and resource utilization. Flink integrates extremely well with modern data lake architectures, Kafka ecosystems, and cloud-native platforms. For organizations building real-time analytics, fraud detection, IoT processing, or CDC pipelines, it offers excellent scalability and reliability.
Sree K.
SK
Sree K.
SDET | Selenium Java, API Testing, Performance Testing | Optimizing QA for Scalable Solutions
07/27/2026
Validated Reviewer
Verified Current User
Review source: G2 invite

Flexible, Reliable Performance Testing with Detailed Metrics and CI/CD Integration

What I like most about Apache JMeter is its flexibility across different types of performance testing. I mainly use it for API performance testing, load testing, stress testing, and other non-functional testing, and it has been reliable in all of these scenarios. Building test plans, configuring thread groups, parameterizing test data, and validating responses are all fairly straightforward once you get familiar with the tool. Another major advantage is the level of detail in the reports and metrics it provides. Response times, throughput, error rates, and other performance statistics make it much easier to spot bottlenecks and understand how an application behaves under different load levels. This has helped us catch performance issues early, before they make it to production. I also appreciate that it integrates well with CI/CD pipelines, so performance tests can be included as part of our release process. Because it’s open source, there’s no licensing cost, and the large community makes it easy to find plugins, documentation, and solutions when needed. Overall, Apache JMeter has become an important part of my testing workflow. It helps me validate application performance with confidence, while saving time through automation and repeatable test execution.
Ron F.
RF
Ron F.
Social Science/Humanities Teacher
07/20/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Perhaps the best free alternative to MS Office!

A good, intuitive interface and the stability of the suite as well as its ability to open and save doc, docx, ppt and pptx files.

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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.

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Year Founded
1999
Website
knox.apache.org