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The Apache Software Foundation

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4,107 reviews
  • 198 profiles
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4.2
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1999
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Apache NiFi

24 reviews

Apache NiFi is a software project designed to enable the automation of data flow between systems.

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Apache Karaf

24 reviews

Apache Karaf provides dual polymorphic container and application bootstrapping paradigms to the Enterprise.

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Apache BookKeeper

23 reviews

Apache BookKeeper is a scalable, fault-tolerant, and low-latency storage service optimized for real-time workloads.

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Apache Ant

23 reviews

Apache Ant is a Java library and command-line tool whose mission is to drive processes described in build files as targets and extension points dependent upon each other. The main known usage of Ant is the build of Java applications. Ant supplies a number of built-in tasks allowing to compile, assemble, test and run Java applications. Ant can also be used effectively to build non Java applications, for instance C or C++ applications. More generally, Ant can be used to pilot any type of process which can be described in terms of targets and tasks.

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Apache Thrift

23 reviews

The Apache Thrift software framework, for scalable cross-language services development, combines a software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml and Delphi and other languages.

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Apache Ambari

23 reviews

Apache Ambari is a software project designed to enable system administrators to provision, manage and monitor a Hadoop cluster, and also to integrate Hadoop with the existing enterprise infrastructure.

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Edgenexus ADC (Application Delivery Controller)

11 reviews

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Edgenexus is a feature-rich application delivery control and load balancer for fast, scalable, resilient applications.

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The Apache Software Foundation Reviews

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fabio O.
01/25/2024
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Review source: G2 invite
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Good use

So machine learning deals with a huge amount of data, right? Apache SystemML is kind of a platform that dives right into this, focusing mainly on the big data needed to create some machine learning modules. And believe me, it still runs on Apache Spark, which gives the whole thing a boost in accuracy.
Varad V.
VV
Varad V.
AI/ML Engineer at Analyzer Solutions
01/24/2024
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Review source: G2 invite
Incentivized Review

My experience with Hadoop

The most that I like about hadoop is that it is extremely easy to use and implement. I work with big data and storing that is most convenient with hadoop. Transforming and modelling data is easy with hadoop. The scalability feature of it helps me store large amount of data quickly whenever needed. Due to parallel processing, it is quite fast.
Rinku P.
RP
Rinku P.
AWS-DevOps Engineer ♾️ | (immediate joiner - Serving notice Period) | Linux 🐧 | Git & GitHub | AWS ☁️ | Ansible | Docker 🐳 | Kubernetes ☸ | Jenkins 🛠️ | Terraform 🏗️ |
01/22/2024
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Empowering Experiences with Apache Ignite: A Review

I am truly impressed with Apache Ignite's exceptional performance and scalability. The seamless integration and robust features have significantly enhanced our operations. The ease of use has streamlined our processes, allowing for efficient data management and retrieval. Apache Ignite has proven to be a powerful solution that meets and exceeds our expectations, making it an invaluable asset to our projects.

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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