Alternatives to Apache OFBiz
Compare Apache OFBiz alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Apache OFBiz in 2026. Compare features, ratings, user reviews, pricing, and more from Apache OFBiz competitors and alternatives in order to make an informed decision for your business.
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LiteSpeed Web Server
LiteSpeed Technologies
Our lightweight Apache alternative conserves resources without sacrificing performance, security, compatibility, or convenience. Double the maximum capacity of your current Apache servers with LiteSpeed Web Server's streamlined event-driven architecture, capable of handling thousands of concurrent clients with minimal memory consumption and CPU usage. Protect your servers with already familiar ModSecurity rules while also taking advantage of a host of built-in anti-DDoS features, such as bandwidth and connection throttling. Conserve capital by reducing the number of servers needed to support your growing hosting business or online application. Reduce complexity by eliminating the need for an HTTPS reverse proxy or additional 3rd party caching layers. LiteSpeed Web Server is compatible with all popular Apache features including its Rewrite Engine and ModSecurity, and can load Apache configuration files directly. -
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Apache Mahout
Apache Software Foundation
Apache Mahout is a powerful, scalable, and versatile machine learning library designed for distributed data processing. It offers a comprehensive set of algorithms for various tasks, including classification, clustering, recommendation, and pattern mining. Built on top of the Apache Hadoop ecosystem, Mahout leverages MapReduce and Spark to enable data processing on large-scale datasets. Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. Apache Spark is the recommended out-of-the-box distributed back-end or can be extended to other distributed backends. Matrix computations are a fundamental part of many scientific and engineering applications, including machine learning, computer vision, and data analysis. Apache Mahout is designed to handle large-scale data processing by leveraging the power of Hadoop and Spark. -
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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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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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Apache RocketMQ
Apache Software Foundation
Apache RocketMQ™ is a unified messaging engine, lightweight data processing platform. Financial-grade stability, widely used in transaction core links. Seamless connection to surrounding ecosystems such as microservices, real-time computing, and data lakes. Configurable, low-code way to integrate data, can establish connection with any system, can be used to build streaming ETL, data pipeline, data lake, etc. Stream computing engine that provides light weight, high scalability, high performance and rich functions. Rich message type support and message governance methods to meet serverless application scenarios with message granularity load balancing. Apache RocketMQ has been widely adopted by many enterprise developers and cloud vendors due to its simple architecture, rich business functions, and strong scalability. -
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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 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 ServiceComb
ServiceComb
Open-source, full-stack microservice solution. With out-of-the-box, high performance, compatible with popular ecology, and multi-language support. Service contract guarantee based on OpenAPI. One-click scaffolding, out of the box, speeds up the building of microservice applications. The ecological extension supports multiple development languages such as Java/Golang/PHP/NodeJS. Apache ServiceComb is an open-source solution for microservices. It consists of multiple components that can be flexibly adapted to different scenarios through the combination of components. This guide can help you get started quickly with Apache ServiceComb, which is the best place to start trying for first-time users. To decouple the programming and communication models, so that a programming model can be combined with any communication models as needed. Application developers only need to focus on APIs during development and can flexibly switch communication models during deployment.Starting Price: Free -
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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 Beam
Apache Software Foundation
The easiest way to do batch and streaming data processing. Write once, run anywhere data processing for mission-critical production workloads. Beam reads your data from a diverse set of supported sources, no matter if it’s on-prem or in the cloud. Beam executes your business logic for both batch and streaming use cases. Beam writes the results of your data processing logic to the most popular data sinks in the industry. A simplified, single programming model for both batch and streaming use cases for every member of your data and application teams. Apache Beam is extensible, with projects such as TensorFlow Extended and Apache Hop built on top of Apache Beam. Execute pipelines on multiple execution environments (runners), providing flexibility and avoiding lock-in. Open, community-based development and support to help evolve your application and meet the needs of your specific use cases. -
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Apache Ranger
The Apache Software Foundation
Apache Ranger™ is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform. The vision with Ranger is to provide comprehensive security across the Apache Hadoop ecosystem. With the advent of Apache YARN, the Hadoop platform can now support a true data lake architecture. Enterprises can potentially run multiple workloads, in a multi tenant environment. Data security within Hadoop needs to evolve to support multiple use cases for data access, while also providing a framework for central administration of security policies and monitoring of user access. Centralized security administration to manage all security related tasks in a central UI or using REST APIs. Fine grained authorization to do a specific action and/or operation with Hadoop component/tool and managed through a central administration tool. Standardize authorization method across all Hadoop components. Enhanced support for different authorization methods - Role based access control etc. -
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IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of computing notes when needed. Separating compute from storage helps to transform the flexibility, scalability and maintainability of big data analytics platforms. Build on an ODPi compliant stack with pioneering data science tools with the broader Apache Hadoop and Apache Spark ecosystem. Define clusters based on your application's requirements. Choose the appropriate software pack, version, and size of the cluster. Use as long as required and delete as soon as an application finishes jobs. Configure clusters with third-party analytics libraries and packages. Deploy workloads from IBM Cloud services like machine learning.Starting Price: $0.014 per hour
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Apache DevLake
Apache Software Foundation
Apache DevLake (Incubating) ingests, analyzes, and visualizes the fragmented data from DevOps tools to distill insights for engineering excellence. Your data lives in many silos and tools. DevLake brings them all together to give you a complete view of your Software Development Life Cycle (SDLC). From DORA to scrum retros, DevLake implements metrics effortlessly with prebuilt dashboards supporting common frameworks and goals. DevLake fits teams of all shapes and sizes, and can be readily extended to support new data sources, metrics, and dashboards, with a flexible framework for data collection and transformation. Select, transform and set up a schedule for the data you wish to sync from your prefered data sources in the config UI. View pre-built dashboards of a variety of use cases and learn engineering insights from the metrics. Customize your own metrics or dashboards with SQL to extend your usage of DevLake.Starting Price: Free -
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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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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 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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FINSYS
OpenFactor Technologies
FinSys is a robust, secure and cost effective digital, community and agency banking platform with modular service-oriented architecture that provides a comprehensive range of functionalities required to deliver financial inclusion. Built on the Apache Fineract engine, FinSys supports multi-entity, multi-currency and multi-lingual capabilities. It has a complete range of independent business modules which operate within an integrated framework. This allows financial institutions to rollout new financial services in a most cost-effective way. FinSys supports lending, investment account with support for fixed and recurring deposits, savings and current accounts, standing instructions, account transfers and provide support for a mix of deposit and credit products. Flexible interest, charges and fees management. FinSys provides a comprehensive agency banking modules with functionalities that includes agent management, till management, fees,charges and commission management.Starting Price: $15000 per year -
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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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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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O3DE
The Linux Foundation
Open 3D Engine (O3DE) is a modular, open source, cross-platform 3D engine built to power anything from AAA games to cinema-quality 3D worlds to high-fidelity simulations. No fees or commercial obligations. Apache 2.0-licensed. Managed by The Linux Foundation. O3DE's modular architecture is built for customization from day one. Each component—known as a Gem—can be adopted separately, giving you access to the specific functionality needed for your application. Add new editing tools, features, and development workflows to your projects. Choose from a variety of community-maintained Gems to extend and enhance the engine's capabilities in anything from AI and robotics to push notifications and VR. With our engine's SDK capabilities, you can use O3DE as a foundation for any type of 3D project you can imagine. -
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SelectDB
SelectDB
SelectDB is a modern data warehouse based on Apache Doris, which supports rapid query analysis on large-scale real-time data. From Clickhouse to Apache Doris, to achieve the separation of the lake warehouse and upgrade to the lake warehouse. The fast-hand OLAP system carries nearly 1 billion query requests every day to provide data services for multiple scenes. Due to the problems of storage redundancy, resource seizure, complicated governance, and difficulty in querying and adjustment, the original lake warehouse separation architecture was decided to introduce Apache Doris lake warehouse, combined with Doris's materialized view rewriting ability and automated services, to achieve high-performance data query and flexible data governance. Write real-time data in seconds, and synchronize flow data from databases and data streams. Data storage engine for real-time update, real-time addition, and real-time pre-polymerization.Starting Price: $0.22 per hour -
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Red Hat AMQ
Red Hat
Red Hat AMQ is a flexible messaging platform that delivers information reliably, enabling real-time integration and connecting the Internet of Things (IoT). Based on open source communities like Apache ActiveMQ and Apache Kafka, it supports various messaging patterns to integrate applications, endpoints, and devices quickly and efficiently, enhancing enterprise responsiveness and agility. AMQ facilitates data sharing between microservices and other applications with high throughput and low latency. AMQ supports connectivity from client programs written in multiple languages. It defines an open-wire protocol for messaging interoperability, allowing enterprises to deploy various distributed messaging solutions to meet evolving business requirements. Backed by Red Hat's award-winning support and services, AMQ has a track record of supporting mission-critical applications. -
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Apache Geode
Apache
Build high-speed, data-intensive applications that elastically meet performance requirements at any scale. Take advantage of Apache Geode's unique technology that blends advanced techniques for data replication, partitioning and distributed processing. Apache Geode provides a database-like consistency model, reliable transaction processing and a shared-nothing architecture to maintain very low latency performance with high concurrency processing. Data can easily be partitioned (sharded) or replicated between nodes allowing performance to scale as needed. Durability is ensured through redundant in-memory copies and disk-based persistence. Super fast write-ahead-logging (WAL) persistence with a shared-nothing architecture that is optimized for fast parallel recovery of nodes or an entire cluster. -
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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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APACHE V4
MBM Italia
APACHE V4 is the ERP solution, integrated and modular, for manufacturing companies. The system provides application coverage of all business flows with prototyping, industrialization of the finished product, sales forecasting and management, accounting and physical warehouse with automatic identification of materials, production planning and scheduling with mathematical optimization engines, purchase management, industrial product costing and accounting with Italian and international localization. APACHE V4 has been developed using the most advanced technologies, which make it independent from the base platform, both software and hardware. Progress of both the individual phases of the order and of the work phases of different orders. Intuitive user interface with effective tools for analyzing results. Complete integration between internal and external processes (mixed cycles). Availability of simulation tools for most application areas. -
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Apache Trafodion
Apache Software Foundation
Apache Trafodion is a webscale SQL-on-Hadoop solution enabling transactional or operational workloads on Apache Hadoop. Trafodion builds on the scalability, elasticity, and flexibility of Hadoop. Trafodion extends Hadoop to provide guaranteed transactional integrity, enabling new kinds of big data applications to run on Hadoop. Full-functioned ANSI SQL language support. JDBC/ODBC connectivity for Linux/Windows clients. Distributed ACID transaction protection across multiple statements, tables, and rows. Performance improvements for OLTP workloads with compile-time and run-time optimizations. Support for large data sets using a parallel-aware query optimizer. Reuse existing SQL skills and improve developer productivity. Distributed ACID transactions guarantee data consistency across multiple rows and tables. Interoperability with existing tools and applications. Hadoop and Linux distribution neutral. Easy to add to your existing Hadoop infrastructure.Starting Price: Free -
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FlowCentric Processware
FlowCentric Technologies
FlowCentric Processware is a business process management solution that allows organizations to quickly develop process-driven applications. With FlowCentric Processware, users are able to manage complex business processes that run across different devices, systems, and departments. FlowCentric Processware also features activity monitoring dashboards that allow users to gain deeper insight into their processes. FlowCentric Processware is ideal for organisations that want to embrace digital transformation, innovate easily and gain results quickly. Companies use FlowCentric Processware to develop flexible process-driven solutions; extend the life of ERP systems; and add meaningful action to the data collected by IoT devices. The software is perfect for companies with 100+ employees that want to digitise an unlimited number of processes, improve operational efficiency, and enforce legislative controls.Starting Price: $13,341 -
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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 Lucene
Apache Software Foundation
The Apache Lucene™ project develops open-source search software. The project releases a core search library, named Lucene™ core, as well as PyLucene, a python binding for Lucene. Lucene Core is a Java library providing powerful indexing and search features, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities. The PyLucene sub project provides Python bindings for Lucene Core. The Apache Software Foundation provides support for the Apache community of open-source software projects. Apache Lucene is distributed under a commercially friendly Apache Software license. Apache Lucene set the standard for search and indexing performance. Lucene is the search core of both Apache Solr™ and Elasticsearch™. Our core algorithms along with the Solr search server power applications the world over, ranging from mobile devices to sites like Twitter, Apple and Wikipedia. The goal of Apache Lucene is to provide world class search capabilities. -
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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 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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Hadoop
Apache Software Foundation
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. A wide variety of companies and organizations use Hadoop for both research and production. Users are encouraged to add themselves to the Hadoop PoweredBy wiki page. Apache Hadoop 3.3.4 incorporates a number of significant enhancements over the previous major release line (hadoop-3.2). -
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AWebServer
Sylkat
AWebServer will let you share your files from your phone to any device or computer easily. You can explore the files with any SO or browser through wireless. AWebServer is an easy and friendly solution to publish your own web in your Android device with PHP and all the features that Apache brings. MariaDb the old MySQL server is also included and the MyPhpAdmin application has been installed and ready to work with. Has integrated a FTP server to upload the contents and is compatible with Android 4 and above. This app is based on the famous and stable Apache 2 server, known by its stability in Android devices. Improved look of Apache indexes files. Updated servers for 64 bits arch and phpMyAdmin. Distributed appbundle to reduce size of the app. -
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Falcon-7B
Technology Innovation Institute (TII)
Falcon-7B is a 7B parameters causal decoder-only model built by TII and trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license. Why use Falcon-7B? It outperforms comparable open-source models (e.g., MPT-7B, StableLM, RedPajama etc.), thanks to being trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. See the OpenLLM Leaderboard. It features an architecture optimized for inference, with FlashAttention and multiquery. It is made available under a permissive Apache 2.0 license allowing for commercial use, without any royalties or restrictions.Starting Price: Free -
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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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Apache Guacamole
Apache Software Foundation
Apache Guacamole is a clientless remote desktop gateway. It supports standard protocols like VNC, RDP, and SSH. We call it clientless because no plugins or client software are required. Thanks to HTML5, once Guacamole is installed on a server, all you need to access your desktops is a web browser. Because the Guacamole client is an HTML5 web application, the use of your computers is not tied to any one device or location. As long as you have access to a web browser, you have access to your machines. Desktops accessed through Guacamole need not physically exist. With both Guacamole and a desktop operating system hosted in the cloud, you can combine the convenience of Guacamole with the resilience and flexibility of cloud computing. Apache Guacamole is and will always be free and open source software. It is licensed under the Apache License, and is actively maintained by a community of developers that use Guacamole to access their own development environments. -
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Apache Ivy
Apache Software Foundation
Apache Ivy™ is a popular dependency manager focusing on flexibility and simplicity. Find out more about its unique enterprise features, what people say about it, and how it can improve your build system! Ivy is a tool for managing (recording, tracking, resolving, and reporting) project dependencies. Ivy is essentially process agnostic and is not tied to any methodology or structure. Instead, it provides the necessary flexibility and reconfigurability to be adapted to a broad range of dependency management and build processes. While available as a standalone tool, Ivy works particularly well with Apache Ant providing a number of powerful Ant tasks ranging from dependency resolution to dependency reporting and publication. Ivy has a lot of powerful features, the most popular and useful being its flexibility, integration with Ant, and strong transitive dependencies management engine. Ivy is open source and released under a very permissive Apache License.Starting Price: Free -
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Astra Streaming
DataStax
Responsive applications keep users engaged and developers inspired. Rise to meet these ever-increasing expectations with the DataStax Astra Streaming service platform. DataStax Astra Streaming is a cloud-native messaging and event streaming platform powered by Apache Pulsar. Astra Streaming allows you to build streaming applications on top of an elastically scalable, multi-cloud messaging and event streaming platform. Astra Streaming is powered by Apache Pulsar, the next-generation event streaming platform which provides a unified solution for streaming, queuing, pub/sub, and stream processing. Astra Streaming is a natural complement to Astra DB. Using Astra Streaming, existing Astra DB users can easily build real-time data pipelines into and out of their Astra DB instances. With Astra Streaming, avoid vendor lock-in and deploy on any of the major public clouds (AWS, GCP, Azure) compatible with open-source Apache Pulsar. -
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ContentBox
Ortus Solutions
ContentBox is a professional open source (Apache 2 License) modular content management engine that allows you to easily build websites, blogs, wikis, complex web applications, and RESTFul web services. Built with a secure and flexible modular core, designed to scale, and combined with world-class support, ContentBox will get your projects out the door in no time. ContentBox CMS can be deployed to any ColdFusion/CFML engine or any Java Servlet Container. ContentBox is built with a solid open source MVC framework foundation; The ColdBox Platform, which has been powering ColdFusion/CFML applications since 2005 and used by thousands of developers worldwide. Used by clients like NASA, ESRI, Adobe TV, FAA, GE and many more. ContentBox has been designed using a rich Object Oriented content model powered by Hibernate, the de-facto standard Object Relational Mapper, and can run in any Java environment. Our entire infrastructure is built with scalability and cloud deployment in mind. -
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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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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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Eclipse Jetty
Eclipse Foundation
Jetty provides a web server and servlet container, additionally providing support for HTTP/2, WebSocket, OSGi, JMX, JNDI, JAAS and many other integrations. These components are open source and are freely available for commercial use and distribution. Jetty is used in a wide variety of projects and products, both in development and production. Jetty has long been loved by developers due to its long history of being easily embedded in devices, tools, frameworks, application servers, and modern cloud services. Full-featured and standards-based. Open source and commercially usable, flexible and extensible, small footprint, embeddable, asynchronous, enterprise scalable, and dual-licensed under Apache and Eclipse. Large clusters, such as Facebook Presto. Cloud computing, such as Google AppEngine. With the direction of Java and the JakartaEE project (formerly JavaEE) in 2020, the current recommended version of Jetty for use depends upon the servlet API version, desired licensing, etc. -
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StreamNative
StreamNative
StreamNative redefines streaming infrastructure by seamlessly integrating Kafka, MQ, and other protocols into a single, unified platform, providing unparalleled flexibility and efficiency for modern data processing needs. StreamNative offers a unified solution that adapts to the diverse requirements of streaming and messaging in a microservices-driven environment. By providing a comprehensive and intelligent approach to messaging and streaming, StreamNative empowers organizations to navigate the complexities and scalability of the modern data ecosystem with efficiency and agility. Apache Pulsar’s unique architecture decouples the message serving layer from the message storage layer to deliver a mature cloud-native data-streaming platform. Scalable and elastic to adapt to rapidly changing event traffic and business needs. Scale-up to millions of topics with architecture that decouples computing and storage.Starting Price: $1,000 per month -
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Streaming service is a real-time, serverless, Apache Kafka-compatible event streaming platform for developers and data scientists. Streaming is tightly integrated with Oracle Cloud Infrastructure (OCI), Database, GoldenGate, and Integration Cloud. The service also provides out-of-the-box integrations for hundreds of third-party products across categories such as DevOps, databases, big data, and SaaS applications. Data engineers can easily set up and operate big data pipelines. Oracle handles all infrastructure and platform management for event streaming, including provisioning, scaling, and security patching. With the help of consumer groups, Streaming can provide state management for thousands of consumers. This helps developers easily build applications at scale.
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Apache Camel
Apache Software Foundation
Camel is an Open Source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data. Camel supports most of the Enterprise Integration Patterns from the excellent book by Gregor Hohpe and Bobby Woolf, and newer integration patterns from microservice architectures to help you solve your integration problem by applying best practices out of the box. Apache Camel is standalone, and can be embedded as a library within Spring Boot, Quarkus, Application Servers, and in the clouds. Camel subprojects focus on making your work easy. Packed with several hundred components that are used to access databases, message queues, APIs or basically anything under the sun. Helping you integrate with everything. Camel supports around 50 data formats, allowing to translate messages in multiple formats, and with support from industry standard formats from finance, telco, health-care, and more. -
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Apache Flink
Apache Software Foundation
Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. Any kind of data is produced as a stream of events. Credit card transactions, sensor measurements, machine logs, or user interactions on a website or mobile application, all of these data are generated as a stream. Apache Flink excels at processing unbounded and bounded data sets. Precise control of time and state enable Flink’s runtime to run any kind of application on unbounded streams. Bounded streams are internally processed by algorithms and data structures that are specifically designed for fixed sized data sets, yielding excellent performance. Flink is designed to work well each of the previously listed resource managers. -
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Apache Flume
Apache Software Foundation
Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault-tolerant with tunable reliability mechanisms and many failovers and recovery mechanisms. It uses a simple extensible data model that allows for online analytic applications. The Apache Flume team is pleased to announce the release of Flume 1.8.0. Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of streaming event data. -
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Grails
Grails
A powerful Groovy-based web application framework for the JVM built on top of Spring Boot. Convention-over-configuration, sensible defaults, opinionated APIs, and the Groovy language combine to make the Grails® framework easy to learn for Java developers. The Grails framework is built on top of Spring Boot and leverages Spring Boot's time-saving features, such as Spring-powered dependency injection. The Grails framework seamlessly and transparently integrates and interoperates with Java, the JVM, and existing Java EE containers. Apache Groovy is a language for the Java platform designed to enhance developers' productivity. It is an optionally-typed and dynamic language but with static-typing and static compilation capabilities. The Grails framework seamlessly integrates with GORM, a data access toolkit that provides a rich set of APIs for accessing relational and non-relational data. GORM also includes implementations for Hibernate (SQL), MongoDB, Cassandra, and Neo4j.Starting Price: Free -
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Apache Santuario
The Apache Software Foundation
Apache XML Security for Java: This library includes the standard JSR-105 (Java XML Digital Signature) API, a mature DOM-based implementation of both XML Signature and XML Encryption, as well as a more recent StAX-based (streaming) XML Signature and XML Encryption implementation. Ability to set a security provider when using org.apache.xml.security.signature.XMLSignature. Added support for customizing how to parse a Inputstream into a DOM Document. -
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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.
