Alternatives to Apache Lucene
Compare Apache Lucene alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Apache Lucene in 2026. Compare features, ratings, user reviews, pricing, and more from Apache Lucene competitors and alternatives in order to make an informed decision for your business.
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SearchStax
SearchStax
SearchStax offers end-to-end search solutions for better search with site search on the frontend and hosted Solr infrastructure on the backend. We have over 700 customers in 20+ countries. Site Search for Websites Made Easy SearchStax Site Search delivers advanced, modern and personalized site search for your website or custom application: • Best-In-Class search experience • Actionable search insights for managers and executives • Self-service tools for the marketing team that don’t need developers to update and optimize the search experience • Quick Implementation for developers Fully-Managed Solr Service in the Cloud SearchStax Managed Search is a fully-managed, hosted Solr service that automates, manages and scales high-availability Solr infrastructure in public or private clouds: • Build faster and spend more time on value-added tasks • Scale faster through automation • Reduce costs through lower incidents and SLAStarting Price: $37/month -
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MeiliSearch
MeiliSearch
An open source, blazingly fast and hyper relevant search-engine that will improve your search experience. MeiliSearch provides an extensive toolset for customization. Unlike with other search engines, these customization options are just optional. It works out-of-the-box with a preset that easily answers the needs of most applications. Communication is done with a RESTful API because most developers are already familiar with its norms. The search experience feels simple and intuitive. It’s all too common for search bars to make users feel like they have to learn a new language just to get the best results, or worse, that they have to jump back and forth between their search and Google just to get the right spelling or product UID. MeiliSearch makes searching simple and responsive, so the user can stay focused on the results. MeiliSearch offers a typo-tolerant and natural query language search experience. -
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dtSearch
dtSearch
dtSearch products instant searching across terabytes of text in a wide range of online and offline data types. Search time (including concurrent search time) is typically less then a second. dtSearch Desktop and dtSearch Network run in a classic Windows environment for individual or shared network-based searching. The dtSearch Engine developer SDK comes in multiple different versions for different platforms. Running in an Internet or Intranet server-based environment, the dtSearch Engine supports efficient multithreaded searching, with no limit on the number of concurrent search threads. Indexing is easy: just point to the folders or online data you want to index. No need to tell dtSearch what files, emails or other content you have; dtSearch will figure that out for itself. dtSearch can build and simultaneously search any number of terabyte indexes. -
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Typesense
Typesense
Tailor your results to perfection via flexible and fast query-time sorting. Pin specific records in a particular position to feature or merchandize them. Show results for pants when users search for trousers, or vice-versa, when you define them as synonyms. Store multiple users’ data in a single index, create API keys for each user that restrict access to just their data. Sort records on the fly by any fields in your document. For eg: sort by price, sort by popularity, etc. No duplicate indices needed. Provide more varietry in your results by grouping results. You can combine all color variations of a shirt into a single result. Only fetch records that match a given filter. Aggregate field values and get counts, min, max and avg of values across records. Search & sort results within a certain distance from a latitude/longitude or within a polygon region. Build a resilient production-grade search service, with a few simple steps. -
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Elasticsearch
Elastic
Elastic is a search company. As the creators of the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash), Elastic builds self-managed and SaaS offerings that make data usable in real time and at scale for search, logging, security, and analytics use cases. Elastic's global community has more than 100,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 400 million cumulative downloads. Today thousands of organizations, including Cisco, eBay, Dell, Goldman Sachs, Groupon, HP, Microsoft, Netflix, The New York Times, Uber, Verizon, Yelp, and Wikipedia, use the Elastic Stack, and Elastic Cloud to power mission-critical systems that drive new revenue opportunities and massive cost savings. Elastic has headquarters in Amsterdam, The Netherlands, and Mountain View, California; and has over 1,000 employees in more than 35 countries around the world. -
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CiteSeerX
CiteSeerX
CiteSeerx uses Solr as its core search engine. Solr is based upon Lucene; a good overview of the supported query syntax may be obtained by reading the Lucene query parser syntax. CiteSeerx supports Proximity and Boolean queries. Please note that adjacent words will default to one word proximity. Unlike the old CiteSeer system, citations and full documents are included within the same index in CiteSeerx. By default, citations for which we have no accompanying document file will not show up in search results.Starting Price: Free -
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SeekStorm
SeekStorm
SeekStorm - Search as a Service: high-performance search API provides full-text, real-time, instant search & crawling. 20x speed and 200x payload compared to Lucene; 30x more queries & docs per $ spent than other SaaS. To learn more, visit https://seekstorm.comStarting Price: $19/month -
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ChaosSearch
ChaosSearch
Log analytics should not break the bank. Because most logging solutions use one or both of these technologies - Elasticsearch database and/ or Lucene index - the cost of operation is unreasonably high. ChaosSearch takes a revolutionary approach. We reinvented indexing, which allows us to pass along substantial cost savings to our customers. See for yourself with this price comparison calculator. ChaosSearch is a fully managed SaaS platform that allows you to focus on search and analytics in AWS S3 rather than spend time managing and tuning databases. Leverage your existing AWS S3 infrastructure and let us do the rest. Watch this short video to learn how our unique approach and architecture allow ChaosSearch to address the challenges of today’s data & analytic requirements. ChaosSearch indexes your data as-is, for log, SQL and ML analytics, without transformation, while auto-detecting native schemas. ChaosSearch is an ideal replacement for the commonly deployed Elasticsearch solutions.Starting Price: $750 per month -
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Hawksearch
Hawksearch
Hawksearch provides best-in-class features for you to define your visitors search experience. Regardless of if you're selling products, searching content, or indexing multiple systems, Hawksearch complements your business objectives. Hawksearch provides the capability for me to deliver targeted messaging and promotions to your site visitors. Hawksearch provides the adaptability for you to highlight the content or products tailored to my goals. Hawksearch allows your the possibility to accomplish more with less lines of code using the best of SaaS and custom development. Connects the data for PIM, ERP or ecommerce systems from the website visitor by schematic normalizing phrases that site visitor uses to search. Hawksearch, a platform agnostic tool, is built on Open Source Lucene and .NET technology. Hawksearch leverages advanced machine learning and pattern analysis to identify the best search experience to deliver to users. -
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NS MEDSOL
Neutrinos Solutions
NSMEDSOL is developed using the latest technologies such as Java, JSF Primefaces and HTML5. Our system is developed to deploy in Linux-based servers, providing a stable and efficient functioning and reducing any kind of licensing fees. Secondly, the cloud-enabled web interface allows a whole suite of advanced healthcare practices to be accessed without huge investments from multiple facilities. Thirdly, the usage of Lucene-based search provides faster access to data and provides optimal performance. Fourthly, our multi-user authentications based on the roles provide secure access to the application. Finally, by having a core team for quality checking using test-driven frameworks, we make sure that the application is free from any quality issues. Framework based with layered applications architecture Platform independent. HMS is built on open standards and supports Linux based on platforms. Web based architecture. Database vendor neutral. Client usage through browser.Starting Price: $110 per user per month -
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Apache Solr
Apache Software Foundation
Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites. Solr enables powerful matching capabilities including phrases, wildcards, joins, grouping and much more across any data type. Solr is proven at extremely large scales the world over. Solr uses the tools you use to make application building a snap. Solr ships with a built-in, responsive administrative user interface to make it easy to control your Solr instances. Need more insight into your instances? Solr publishes loads of metric data via JMX. Built on the battle-tested Apache Zookeeper, Solr makes it easy to scale up and down. Solr bakes in replication, distribution, rebalancing and fault tolerance out of the box. -
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Datafari
France Labs
Available in Apache v2 license, it is a complete business search engine. It offers a set of connectors, as well as modern user interfaces, for users and administrators alike. Datafari also supports enterprise security mechanisms. This while offering a commercial offer, with support. In short, with Datafari you have among other things: There are already many packaged solutions, but none (recent) is available under Apache license. This poses a barrier for companies that want to create and sell their own product based on these technologies. Thanks to Datafari, this becomes possible. In addition, Datafari is the only solution to integrate SolrCloud, giving it the ability to scale very simply. Datafari is already in place with several of our customers. The executables are available on the data far reference site . Also find the Datafari source code under Github. To interact with the community, go to the Datafari forum. -
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Apache Sentry
Apache Software Foundation
Apache Sentry™ is a system for enforcing fine grained role based authorization to data and metadata stored on a Hadoop cluster. Apache Sentry has successfully graduated from the Incubator in March of 2016 and is now a Top-Level Apache project. Apache Sentry is a granular, role-based authorization module for Hadoop. Sentry provides the ability to control and enforce precise levels of privileges on data for authenticated users and applications on a Hadoop cluster. Sentry currently works out of the box with Apache Hive, Hive Metastore/HCatalog, Apache Solr, Impala and HDFS (limited to Hive table data). Sentry is designed to be a pluggable authorization engine for Hadoop components. It allows you to define authorization rules to validate a user or application’s access requests for Hadoop resources. Sentry is highly modular and can support authorization for a wide variety of data models in Hadoop. -
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Apache Geronimo
Apache
Apache Geronimo is an open-source set of projects that are focused on providing JavaEE/JakartaEE libraries and Microprofile implementations. We are actively delivering reusable Java EE components though. They are widely used and still actively maintained! Apache Geronimo provides libraries for the implementations of the Java EE and Jakarta EE specifications. The implementations are also focused on providing OSGi bundle metadata. The goal of XBean project is to create a plugin-based server analogous to Eclipse is a plugin-based IDE. XBean will be able to discover, download and install server plugins from an Internet-based repository. In addition, we include support for multiple IoC systems, support for running with no IoC system, JMX without JMX code, lifecycle and class loader management, and rock-solid Spring integration. Apache Geronimo hosts several Microprofile implementations. Apache Geronimo Arthur is an effort to build a thin layer on top of Oracle GraalVM.Starting Price: Free -
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PDFBox
Apache Software Foundation
The Apache PDFBox® library is an open-source Java tool for working with PDF documents. This project allows the creation of new PDF documents, manipulation of existing documents and the ability to extract content from documents. Apache PDFBox also includes several command-line utilities. Apache PDFBox is published under the Apache License v2.0. Extract Unicode text from PDF files. Split a single PDF into many files or merge multiple PDF files. Extract data from PDF forms or fill a PDF form. Validate PDF files against the PDF/A-1b standard. Print a PDF file using the standard Java printing API. Create a PDF from scratch, with embedded fonts and images. Save PDFs as image files, such as PNG or JPEG and digitally sign PDF files. See also the export control information related to the encryption features included in Apache PDFBox. -
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Amazon EMR
Amazon
Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting. -
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Deeplearning4j
Deeplearning4j
DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python API. Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs. There are a lot of parameters to adjust when you're training a deep-learning network. We've done our best to explain them, so that Deeplearning4j can serve as a DIY tool for Java, Scala, Clojure, and Kotlin programmers. -
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Azure Databricks
Microsoft
Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO). -
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Apache Subversion
Apache Software Foundation
Welcome to subversion, the online home of the Apache® Subversion® software project. Subversion is an open-source version control system. Founded in 2000 by CollabNet, Inc., the Subversion project and software have seen incredible success over the past decade. Subversion has enjoyed and continues to enjoy widespread adoption in both the open-source arena and the corporate world. Subversion is developed as a project of the Apache Software Foundation, and as such is part of a rich community of developers and users. We're always in need of individuals with a wide range of skills, and we invite you to participate in the development of Apache Subversion. Subversion exists to be universally recognized and adopted as an open-source, centralized version control system characterized by its reliability as a safe haven for valuable data; the simplicity of its model and usage; and its ability to support the needs of a wide variety of users and projects. -
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Apache APISIX
Apache APISIX
Apache APISIX provides rich traffic management features like Load Balancing, Dynamic Upstream, Canary Release, Circuit Breaking, Authentication, Observability, etc. Apache APISIX provides open source API Gateway to help you manage microservices, delivering the ultimate performance, security, and scalable platform for all your APIs and microservices. Apache APISIX is the first open-source API Gateway that includes a built-in low-code Dashboard, which offers a powerful and flexible UI for developers to use. The Apache APISIX Dashboard is designed to make it as easy as possible for users to operate Apache APISIX through a frontend interface. It’s open-source and ever evolving, feel free to contribute. The Apache APISIX dashboard is flexible to User demand, providing option to create custom modules through code matching your requirements, alongside the existing no-code toolchain. -
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Apache ServiceMix
Apache Software Foundation
Apache ServiceMix is a flexible, open-source integration container that unifies the features and functionality of Apache ActiveMQ, Camel, CXF, and Karaf into a powerful runtime platform you can use to build your own integrations solutions. It provides a complete, enterprise ready ESB exclusively powered by OSGi. Reliable messaging with Apache ActiveMQ. Messaging, routing and Enterprise Integration Patterns with Apache Camel. WS and RESTful web services with Apache CXF. OSGi-based server runtime powered by Apache Karaf. BPM engine via Activiti. Full JPA support via Apache OpenJPA. XA transaction management via JTA via Apache Aries. Legacy support for the JBI standard (deprecated after the ServiceMix 3.x series) through the Apache ServiceMix NMR that includes a rich Event, Messaging and Audit API. Applications for ServiceMix can be built using OSGi Blueprint, OSGi Declarative Services, and Spring DM (legacy). -
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Apache Axiom
The Apache Software Foundation
The Apache Axiom™ library provides an XML Infoset compliant object model implementation which supports on-demand building of the object tree. It supports a novel "pull-through" model which allows one to turn off the tree building and directly access the underlying pull event stream using the StAX API. It also has built in support for XML Optimized Packaging (XOP) and MTOM, the combination of which allows XML to carry binary data efficiently and in a transparent manner. The combination of these is an easy to use API with a very high performant architecture! Developed as part of Apache Axis2, Apache Axiom is the core of Apache Axis2. However, it is a pure standalone XML Infoset model with novel features and can be used independently of Apache Axis2. -
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Apache Gump
Apache Software Foundation
The Apache Gump continuous integration tool was the first one developed at the Apache Software Foundation. It is written in Python and fully supports Apache Ant, Apache Maven (1.x to 3.x) and other build tools. Gump is unique in that it builds and compiles software against the latest development versions of those projects. This allows Gump to detect potentially incompatible changes to that software just a few hours after those changes are checked into the version control system. Notifications are sent to the project team as soon as such a change is detected, referencing more detailed reports available online. You can set up and run Gump on your own machine and run it on your own projects, however it is currently most famous for building many of Apache's projects and their dependencies. For this purpose, the Gump project maintains its own dedicated server. -
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Apache Druid
Druid
Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures. -
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Amazon MWAA
Amazon
Amazon Managed Workflows for Apache Airflow (MWAA) is a managed orchestration service for Apache Airflow that makes it easier to set up and operate end-to-end data pipelines in the cloud at scale. Apache Airflow is an open-source tool used to programmatically author, schedule, and monitor sequences of processes and tasks referred to as “workflows.” With Managed Workflows, you can use Airflow and Python to create workflows without having to manage the underlying infrastructure for scalability, availability, and security. Managed Workflows automatically scales its workflow execution capacity to meet your needs, and is integrated with AWS security services to help provide you with fast and secure access to data.Starting Price: $0.49 per hour -
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Apache Spark
Apache Software Foundation
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources. -
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Managed Service for Apache Airflow is a fully managed workflow orchestration platform from Google Cloud built on the open-source Apache Airflow project. It allows users to author, schedule, and monitor data pipelines using Python-based workflows known as DAGs. The platform eliminates the need to manage infrastructure, enabling teams to focus on building and running pipelines. It integrates seamlessly with Google Cloud services such as BigQuery, Dataflow, and Managed Service for Apache Spark. It also supports hybrid and multi-cloud environments, allowing workflows to span across different systems. Users benefit from built-in monitoring, logging, and troubleshooting tools for reliability. The service is designed to simplify complex data workflows, including ETL, MLOps, and automation tasks. Overall, it provides a scalable and flexible solution for orchestrating modern data pipelines.Starting Price: $0.074 per vCPU hour
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Apache Giraph
Apache Software Foundation
Apache Giraph is an iterative graph processing system built for high scalability. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections. Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google and described in a 2010 paper. Both systems are inspired by the Bulk Synchronous Parallel model of distributed computation introduced by Leslie Valiant. Giraph adds several features beyond the basic Pregel model, including master computation, sharded aggregators, edge-oriented input, out-of-core computation, and more. With a steady development cycle and a growing community of users worldwide, Giraph is a natural choice for unleashing the potential of structured datasets at a massive scale. Apache Giraph is an iterative graph processing framework, built on top of Apache Hadoop. -
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Airy Messenger
Airy
From Conversational AI assistants to customer service experiences, own your own conversational platform with open-source Airy. Airy Core is an open source, fully-featured, production-ready conversational platform. With Airy you can process conversational data from a variety of sources. Since Airy's infrastructure is built around Apache Kafka, it can process a large amount of conversations and messages simultaneously and stream the relevant conversational data to wherever you need it. Connect anything from our free open-source live chat plugin to Facebook Messenger & Google's Business Messages to your Airy Core. This is all possible through an ingestion platform that heavily relies on Apache Kafka to process incoming webhook data from different sources. We make sense of the data and reshape it into source-independent contacts, conversations, and messages. -
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Apache Hive
Apache Software Foundation
The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive. Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop®, but has now graduated to become a top-level project of its own. We encourage you to learn about the project and contribute your expertise. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries (HiveQL) into the underlying Java without the need to implement queries in the low-level Java API. -
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MLlib
Apache Software Foundation
Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem. -
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MXNet
The Apache Software Foundation
A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed. Scalable distributed training and performance optimization in research and production is enabled by the dual parameter server and Horovod support. Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl. A thriving ecosystem of tools and libraries extends MXNet and enables use-cases in computer vision, NLP, time series and more. Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision-making process have stabilized in a manner consistent with other successful ASF projects. Join the MXNet scientific community to contribute, learn, and get answers to your questions. -
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Amazon MSK
Amazon
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Apache Kafka clusters are challenging to setup, scale, and manage in production. When you run Apache Kafka on your own, you need to provision servers, configure Apache Kafka manually, replace servers when they fail, orchestrate server patches and upgrades, architect the cluster for high availability, ensure data is durably stored and secured, setup monitoring and alarms, and carefully plan scaling events to support load changes.Starting Price: $0.0543 per hour -
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E-MapReduce
Alibaba
EMR is an all-in-one enterprise-ready big data platform that provides cluster, job, and data management services based on open-source ecosystems, such as Hadoop, Spark, Kafka, Flink, and Storm. Alibaba Cloud Elastic MapReduce (EMR) is a big data processing solution that runs on the Alibaba Cloud platform. EMR is built on Alibaba Cloud ECS instances and is based on open-source Apache Hadoop and Apache Spark. EMR allows you to use the Hadoop and Spark ecosystem components, such as Apache Hive, Apache Kafka, Flink, Druid, and TensorFlow, to analyze and process data. You can use EMR to process data stored on different Alibaba Cloud data storage service, such as Object Storage Service (OSS), Log Service (SLS), and Relational Database Service (RDS). You can quickly create clusters without the need to configure hardware and software. All maintenance operations are completed on its Web interface. -
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Apache James
The Apache Software Foundation
James stands for Java Apache Mail Enterprise Server. It has a modular architecture based on a rich set of modern and efficient components which provides at the end complete, stable, secure, and extendable Mail Servers running on the JVM. Create your own personal solution of email treatment by assembling the components you need thanks to the Inversion of Control mail platform offered and go further customizing filtering and routing rules using James Mailet Container. The Apache James project wires together the different libraries composing James to provide running services, ready to download on the Apache mirrors.Starting Price: Free -
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Apache OFBiz
Apache Software Foundation
Apache OFBiz is a suite of business applications flexible enough to be used across any industry. A common architecture allows developers to easily extend or enhance it to create custom features. OFBiz is a Java based web framework including an entity engine, a service engine and a widget based UI allowing you to quickly prototype and develop your web application. An Apache top level project for 10 years, OFBiz has shown it's stability and maturity as an enterprise-wide ERP solution that is flexible enough to change with your business. OFBiz architecture is extremely flexible allowing developers to quickly and easily extend and enhance the framework with custom features. Apache OFBiz comes with a range of core modules out-of-the-box (OOTB) including: Accounting (GL,AR,AP,FA), CRM,Order Management & E-Commerce, warehousing and inventory, manufacturing & MRP. -
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Apache Tomcat
Apache
The Apache Tomcat® software is an open source implementation of the Jakarta Servlet, Jakarta Server Pages, Jakarta Expression Language, Jakarta WebSocket, Jakarta Annotations and Jakarta Authentication specifications. These specifications are part of the Jakarta EE platform. Apache Tomcat software powers numerous large-scale, mission-critical web applications across a diverse range of industries and organizations. Some of these users and their stories are listed on the PoweredBy wiki page. The Apache Tomcat Project is proud to announce the release of version 10.0.10 of Apache Tomcat. This release implements specifications that are part of the Jakarta EE 9 platform. -
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Apache TomEE
Apache
Apache TomEE, pronounced “Tommy”, is an all-Apache Jakarta EE 9.1 certified application server that extends Apache Tomcat that is assembled from a vanilla Apache Tomcat zip file. We start with Apache Tomcat, add our jars, and zip up the rest. The result is Tomcat plus EE features, TomEE. Stable and ready for production, Apache TomEE 8.0 implements Java EE 8/Jakarta EE 8 and supports the javax namespace. Runs on Java 8 or higher. Mostly Jakarta EE 9.1 web profile compliant and supports the new jakarta namespace. Runs on Java 11 or higher. Apache TomEE comes in four different flavors, web profile, MicroProfile, Plus and Plume. Apache TomEE web profile delivers servlets, JSP, JSF, JTA, JPA, CDI, bean validation and EJB Lite. Apache TomEE MicroProfile adds support for MicroProfile. Apache TomEE Plus and Plume add support for JMS, JAX-WS, and more. Mostly Jakarta EE 9.1 Web Profile compliant and supports the new jakarta namespace.Starting Price: Free -
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PySpark
PySpark
PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics. -
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Apache Derby
Apache
Apache Derby, an Apache DB subproject, is an open source relational database implemented entirely in Java and available under the Apache License, Version 2.0. Derby has a small footprint - about 3.5 megabytes for the base engine and embedded JDBC driver. Derby provides an embedded JDBC driver that lets you embed Derby in any Java-based solution. Derby also supports the more familiar client/server mode with the Derby Network Client JDBC driver and Derby Network Server. -
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OpenSearch
OpenSearch
OpenSearch is a community-driven, open source search and analytics suite derived from Apache 2.0 licensed Elasticsearch 7.10.2 & Kibana 7.10.2. It consists of a search engine daemon, OpenSearch, and a visualization and user interface, OpenSearch Dashboards. OpenSearch enables people to easily ingest, secure, search, aggregate, view, and analyze data. These capabilities are popular for use cases such as application search, log analytics, and more. With OpenSearch people benefit from having an open source product they can use, modify, extend, monetize, and resell how they want. At the same time, OpenSearch will continue to provide a secure, high-quality search and analytics suite with a rich roadmap of new and innovative functionality. -
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Apache PredictionIO
Apache
Apache PredictionIO® is an open-source machine learning server built on top of a state-of-the-art open-source stack for developers and data scientists to create predictive engines for any machine learning task. It lets you quickly build and deploy an engine as a web service on production with customizable templates. Respond to dynamic queries in real-time once deployed as a web service, evaluate and tune multiple engine variants systematically, and unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics. Speed up machine learning modeling with systematic processes and pre-built evaluation measures, support machine learning and data processing libraries such as Spark MLLib and OpenNLP. Implement your own machine learning models and seamlessly incorporate them into your engine. Simplify data infrastructure management. Apache PredictionIO® can be installed as a full machine learning stack, bundled with Apache Spark, MLlib, HBase, Akka HTTP, etc.Starting Price: Free -
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Thousands of customers use Amazon Managed Service for Apache Flink to run stream processing applications. With Amazon Managed Service for Apache Flink, you can transform and analyze streaming data in real-time using Apache Flink and integrate applications with other AWS services. There are no servers and clusters to manage, and there is no computing and storage infrastructure to set up. You pay only for the resources you use. Build and run Apache Flink applications, without setting up infrastructure and managing resources and clusters. Process gigabytes of data per second with subsecond latencies and respond to events in real-time. Deploy highly available and durable applications with Multi-AZ deployments and APIs for application lifecycle management. Develop applications that transform and deliver data to Amazon Simple Storage Service (Amazon S3), Amazon OpenSearch Service, and more.Starting Price: $0.11 per hour
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Apache HTTP Server
Apache Software Foundation
The Apache HTTP Server Project is an effort to develop and maintain an open-source HTTP server for modern operating systems including UNIX and Windows. The goal of this project is to provide a secure, efficient and extensible server that provides HTTP services in sync with the current HTTP standards. -
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Apache NetBeans
Apache Software Foundation
Apache NetBeans is a versatile, open-source Integrated Development Environment (IDE) used for developing applications across a wide range of programming languages, including Java, JavaScript, PHP, HTML5, and C/C++. Known for its modular architecture, NetBeans provides robust tools and features that cater to the needs of developers working on desktop, mobile, and web applications. It includes intelligent code editing, debugging, and profiling capabilities, along with a built-in visual GUI builder for designing Java-based user interfaces. NetBeans also offers support for version control systems like Git, SVN, and Mercurial, facilitating seamless team collaboration. As an Apache Software Foundation project, NetBeans benefits from an active community that continuously improves and expands its functionality, making it a reliable and flexible choice for developers across various domains.Starting Price: Free -
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Apache Storm
Apache Software Foundation
Apache Storm is a free and open source distributed realtime computation system. Apache Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Apache Storm is simple, can be used with any programming language, and is a lot of fun to use! Apache Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Apache Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Apache Storm integrates with the queueing and database technologies you already use. An Apache Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. Read more in the tutorial. -
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Conduktor
Conduktor
We created Conduktor, the all-in-one friendly interface to work with the Apache Kafka ecosystem. Develop and manage Apache Kafka with confidence. With Conduktor DevTools, the all-in-one Apache Kafka desktop client. Develop and manage Apache Kafka with confidence, and save time for your entire team. Apache Kafka is hard to learn and to use. Made by Kafka lovers, Conduktor best-in-class user experience is loved by developers. Conduktor offers more than just an interface over Apache Kafka. It provides you and your teams the control of your whole data pipeline, thanks to our integration with most technologies around Apache Kafka. Provide you and your teams the most complete tool on top of Apache Kafka. -
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DataStax
DataStax
The Open, Multi-Cloud Stack for Modern Data Apps. Built on open-source Apache Cassandra™. Global-scale and 100% uptime without vendor lock-in. Deploy on multi-cloud, on-prem, open-source, and Kubernetes. Elastic and pay-as-you-go for improved TCO. Start building faster with Stargate APIs for NoSQL, real-time, reactive, JSON, REST, and GraphQL. Skip the complexity of multiple OSS projects and APIs that don’t scale. Ideal for commerce, mobile, AI/ML, IoT, microservices, social, gaming, and richly interactive applications that must scale-up and scale-down with demand. Get building modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Use REST, GraphQL, JSON with your favorite full-stack framework Richly interactive apps that are elastic and viral-ready from Day 1. Pay-as-you-go Apache Cassandra DBaaS that scales effortlessly and affordably. -
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IBM Analytics for Apache Spark is a flexible and integrated Spark service that empowers data science professionals to ask bigger, tougher questions, and deliver business value faster. It’s an easy-to-use, always-on managed service with no long-term commitment or risk, so you can begin exploring right away. Access the power of Apache Spark with no lock-in, backed by IBM’s open-source commitment and decades of enterprise experience. A managed Spark service with Notebooks as a connector means coding and analytics are easier and faster, so you can spend more of your time on delivery and innovation. A managed Apache Spark services gives you easy access to the power of built-in machine learning libraries without the headaches, time and risk associated with managing a Sparkcluster independently.
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ApacheBooster
NdimensionZ
ApacheBooster has been specifically designed to enhance the working of web servers based on cPanel. ApacheBooster as the name suggests boosts the working ability of the Apache web server, which is according to the census the most used web server in the world! Nginx and varnish has been fused together in ApacheBooster to make it effectively efficient in its working. Nginx is a super quality high performing web server software that speeds up the working of the web server. The best feature of Nginx is that it is very fast in its working i.e in retrieving static files and also helps in saving memory by using less memory for processing of concurrent requests. It is very efficient in handling traffic requests. With the less amount of memory used, it is capable of handling more requests/clients when compared to Apache. Nginx is a reverse proxy server of open source type that smartly balances the load, a web server and web cache (also known as HTTP cache).
