# Apache PredictionIO Reviews **Vendor:** The Apache Software Foundation **Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning) **Average Rating:** 4.3/5.0 **Total Reviews:** 18 ## About Apache PredictionIO 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. ## Apache PredictionIO Reviews ### 1. A powerful Machine Learning Framework **Rating:** 5.0/5.0 stars **Reviewed by:** Devansh S. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 20, 2023 **What do you like best about Apache PredictionIO?** The best thing about Apache PredictionIO is that it is an open source, easy to use and customizable ML server that can help in real time and accurate predictions thereby helping engineers to speed up their ML tasks. **What do you dislike about Apache PredictionIO?** Although, it is a powerful tool for ML, it has some limitations being open source that it relies on community contribution and requires maintenance and upgrades to function efficiently which is however true for every open source engines. **What problems is Apache PredictionIO solving and how is that benefiting you?** Apache PredictionIO has helped and benefited me with real time and accurate predictions based on incoming data that helps in building responsive and efficient applications. The flexibility and customizability it provides helps in addressing specific issues related to my organization. ### 2. Make ML integration easy with prediction IO **Rating:** 4.5/5.0 stars **Reviewed by:** Kavyansh P. | Software Engineer - II, Enterprise (> 1000 emp.) **Reviewed Date:** November 11, 2023 **What do you like best about Apache PredictionIO?** 1. It helps me deploy ML projects onto a server after configuring a few settings. 2. It features the creation of comprehensive ML production environments and supports recommendation systems, as well as anomaly detection on time series data. 3. I used it for time series analysis and anomaly detection, and it worked fine. 4. It also supports storage and backend integrations that are easy to integrate, making development fast and of high quality. 5. Easy to implement and config models in preditcitionIO platform. **What do you dislike about Apache PredictionIO?** Number of built-in support algorithm is less in the comparision of other platform. Although we have option for creating custom engine as per our usecase. **What problems is Apache PredictionIO solving and how is that benefiting you?** I used it during one prject where we were building Anomaly detection system on time serires data. ### 3. How apache prediction io is useful for developers **Rating:** 5.0/5.0 stars **Reviewed by:** Mayank R. | Front End Development , Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** August 27, 2023 **What do you like best about Apache PredictionIO?** As a user of Apache prediction io is found is a light weight and easy to use open source software for developers and anyone can use it and ots different from other types of software present in the market it uses for machine learning and building server for your project.when i was in my college time i use it in many of my projects **What do you dislike about Apache PredictionIO?** There is no dislike for apache prediction io i personally think regarding something it doesn't work and can be slow some time but this thing is different for different users. **What problems is Apache PredictionIO solving and how is that benefiting you?** They are definitely going for different things for users building some new features were there software become more reliable and trustworthy for a user . I use it for long time and i see by myself they are going in right direction and making there products more faster and easy to use ### 4. Apache PredictionIO has been a game-changer for me. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** September 27, 2023 **What do you like best about Apache PredictionIO?** Apache PredictionIO has been a game-changer for me. Predictive engines' swift and adaptable deployment made what may have been a challenging voyage a smooth one. The dynamic edge provided by real-time responsiveness and fine-tuning capabilities has improved the predictability of my app. PredictionIO genuinely stands out thanks to its Spark-infused speed, which gave my web project the desired performance boost. It's like having a silent ally in the background working to give data-driven insights as quickly and efficiently as possible. The DIY appeal enables me to effortlessly personalise the prediction algorithms, resulting in a web app that accurately represents my vision. The Apache PredictionIO team, thank you for creating a solution that is now the foundation of my online application. **What do you dislike about Apache PredictionIO?** A steep learning curve, varying levels of documentation clarity, and the complexity of integration are some the things that I disliked.Community size is also less as of now **What problems is Apache PredictionIO solving and how is that benefiting you?** Predictive model building is streamlined by Apache PredictionIO, resulting in quicker understanding and greater accuracy. This translates for organisations into quicker decision-making, tailored user experiences, and improved operations. Businesses gain from the platform's real-time responsiveness and fine-tuning capabilities because they improve customer interaction, boost productivity, and enable data-driven strategies. It essentially offers a competitive edge through sophisticated predictive analytics and addresses pressing business concerns. ### 5. An Excellent Tool at your fingertips **Rating:** 5.0/5.0 stars **Reviewed by:** Edwards Rafael O. | Ingeniero en Informatica, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** July 10, 2023 **What do you like best about Apache PredictionIO?** One of the best virtues of Apache PredictionIO is that it is a very easy tool to use and understand after a few uses. It has a great structure that greatly simplifies the process of creating and evaluating machine learning models, which can be based on Apache. **What do you dislike about Apache PredictionIO?** It is a great tool, but it would be spectacular if in future updates it could reach a greater number of platforms and with a greater diversity of languages, for example, if it could adapt to Latin Spanish, French, etc. **What problems is Apache PredictionIO solving and how is that benefiting you?** We have used the application in some tests related to artificial intelligence, where we needed our systems to recognize and learn certain behavior patterns and decisions related to the functioning of applications. ### 6. The best to happen in Machine Learning Era **Rating:** 5.0/5.0 stars **Reviewed by:** Debojyoti M. | Enterprise (> 1000 emp.) **Reviewed Date:** September 15, 2023 **What do you like best about Apache PredictionIO?** scalability, very ease of integration, smooth, cloud based. **What do you dislike about Apache PredictionIO?** Complex UI, Not so user beginner friendly, learning curve is steep. **What problems is Apache PredictionIO solving and how is that benefiting you?** Super quick to get started with. The framework it provides is really straightforward, so I can whip up predictive models in no time. I can stick with tried-and-true machine learning libraries like Spark MLlib.The thing can scale like a champ. It's built on Apache Spark, so it can handle massive amounts of data and still run smoothly. Also, it is cloud based which gives leverage to modern apps. ### 7. Simplifying Machine Learning Deployment **Rating:** 4.0/5.0 stars **Reviewed by:** Sumit G. | Machine Learning Engineer 1, Mid-Market (51-1000 emp.) **Reviewed Date:** September 11, 2023 **What do you like best about Apache PredictionIO?** Its open sources and free, this allows for flexibility, customization, and avoids vendor lock-in. Highly customizable, as it allows customizing machine learning algorithms, enabling the creation of predictive models tailored to specific use cases. **What do you dislike about Apache PredictionIO?** for machine learning and data scientist, Apache PredictionIO has a steep learning curve. As understanding how to set up and configure predictive engines and work with machine learning algorithms may require some technical expertise. **What problems is Apache PredictionIO solving and how is that benefiting you?** PredictionIO helps in doing predictive analytics to make data-driven decisions. It also helps in identifying fraud, security breaches, or other irregularities. ### 8. PredictionIOoffered open-source, scalable, and versatile platform for building predictive engines. **Rating:** 4.5/5.0 stars **Reviewed by:** Alok Nath P. | Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 11, 2023 **What do you like best about Apache PredictionIO?** The most helpful feature of prediction IO is its scalable , versatile and open source. It was also an Easy integration with different data sources and databases for flexibility. **What do you dislike about Apache PredictionIO?** The major dislike about prediction IO was that it was discounted and retired and also the fact that it was limited to those familiar with spark and hadoop. **What problems is Apache PredictionIO solving and how is that benefiting you?** Apache PredictionIO aimed to solve the problem of building and deploying predictive engines for various applications. It has several benifts like its recommendation system and scalability ### 9. Very efficient for a usecase for deriving business insights **Rating:** 4.5/5.0 stars **Reviewed by:** Bazla K. | Mid-Market (51-1000 emp.) **Reviewed Date:** September 16, 2023 **What do you like best about Apache PredictionIO?** Its prediction power to derive insights out of semi structured and unstructured data sets, it is proven to be efficient and accurate when it comes to derive business insights. **What do you dislike about Apache PredictionIO?** Nothing as such, it is working as expected and it solves the business use cases efficiently giving the useful insights that surfices business needs efficiently. **What problems is Apache PredictionIO solving and how is that benefiting you?** We are basically using it to derive business insights out of semi structured and unstructured data efficiently that even surfices business requirements effectively ### 10. Optimised and Dynamic Machine Learning Server **Rating:** 3.5/5.0 stars **Reviewed by:** Rahul G. | Legal Associate, Small-Business (50 or fewer emp.) **Reviewed Date:** August 29, 2023 **What do you like best about Apache PredictionIO?** The software lets you deal with dynamic queries and reply to them in the most effective and efficient manner in real time. **What do you dislike about Apache PredictionIO?** The Interface of the software is too tricky to be used by everyone. Only tech savy person can use the same effectively. **What problems is Apache PredictionIO solving and how is that benefiting you?** Our firm used the software to deal with dynamic queries received by us on our website and the software helped uss in getting a real time reply to them in an effective and efficient manner. ### 11. Excellent ML Framework **Rating:** 4.5/5.0 stars **Reviewed by:** Akash M. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 22, 2023 **What do you like best about Apache PredictionIO?** PredictionIO scalable, which allows users to handle large volumes of data and creates an ease in growing machine learning workloads. It supports various cloud platform deployments. It can be easily implemented. **What do you dislike about Apache PredictionIO?** Limited Documentation for specific use cases. **What problems is Apache PredictionIO solving and how is that benefiting you?** I am integrating it with apache spark to generate good results regarding fraud detections and anomaly detection. ### 12. Not maintained Anymore **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** September 25, 2023 **What do you like best about Apache PredictionIO?** The Project is Open-Source and has all the key Apache Softwares integrated with it which is very useful for Analytics like Hadoop and Spark. **What do you dislike about Apache PredictionIO?** The project is no longer active. It is officially retired and no longer maintined. It's not much useful for the advanced use-cases anymore. **What problems is Apache PredictionIO solving and how is that benefiting you?** The basic recommendation system and ease of use is on point. But now it is no longer useful for advanced use-cases. The ChatGTP APIs can easily replace most of the usecases the framework can serve. ### 13. Best **Rating:** 5.0/5.0 stars **Reviewed by:** Abhinav M. | System Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 25, 2023 **What do you like best about Apache PredictionIO?** Everything is fine and as expected. Ease of use and good number of features plus integration was easy. **What do you dislike about Apache PredictionIO?** Nothing. From my perspective everything was good. **What problems is Apache PredictionIO solving and how is that benefiting you?** I used in a customer support project and it's running pretty well serving 100s of users per day ### 14. Experiencing Apache PredictionIO **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** September 11, 2023 **What do you like best about Apache PredictionIO?** 1) It allows users to easily deploy and manage machine learning models at scale. 2) Can be integrated with various data models and machine learning libraries. 3) Open source, Large community helps to get various machine learning templates and algorithms. **What do you dislike about Apache PredictionIO?** 1) Less scalable while handling large datasets. 2) Performance issue. **What problems is Apache PredictionIO solving and how is that benefiting you?** Working as a python developer and mostly dealing with machine learning and artificial intelligence it is helping for deployment of machine learning models into production server. helping to create customizable, reusable machine learning templates. ### 15. My Preferred Platform for Scaling Up Real-Time Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Debojyoti G. | Enterprise (> 1000 emp.) **Reviewed Date:** September 15, 2023 **What do you like best about Apache PredictionIO?** Loved modular design,streamlined ML task **What do you dislike about Apache PredictionIO?** Steep learning curve,beginner unfriendly **What problems is Apache PredictionIO solving and how is that benefiting you?** Used PredictionIO to simplify and scale our ML projects. Great for data integration and model management. ### 16. Views on Apache PredictionIO **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** September 13, 2023 **What do you like best about Apache PredictionIO?** It is easy to learn and use in a project. As it is open-source, it benefits in many ways for different types of projects **What do you dislike about Apache PredictionIO?** Performance can be improved as I faced some difficulties with speed **What problems is Apache PredictionIO solving and how is that benefiting you?** It helped to deploy machine learning models on the server ### 17. Impressive **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** September 25, 2023 **What do you like best about Apache PredictionIO?** very responsive to dynamic queries, open source machine, learning server **What do you dislike about Apache PredictionIO?** Limited to those familiar with spark and Hadoop **What problems is Apache PredictionIO solving and how is that benefiting you?** Simplify data infrastructure management ### 18. I would use this again. It wasn’t too slow **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Wireless | Small-Business (50 or fewer emp.) **Reviewed Date:** June 09, 2018 **What do you like best about Apache PredictionIO?** It worked pretty quickly. I didn’t have to worry much about lag **What do you dislike about Apache PredictionIO?** I wasn’t too happy about the display. I thought it could be more modern **What problems is Apache PredictionIO solving and how is that benefiting you?** It helps predict data and forecasting which is really nice ## Apache PredictionIO Discussions - [What is Apache PredictionIO used for?](https://www.g2.com/discussions/what-is-apache-predictionio-used-for) - 1 comment - [View Apache PredictionIO pricing details and edition comparison](https://www.g2.com/products/apache-predictionio/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-11+21%3A47%3A39+-0500&secure%5Bsession_id%5D=3d57d917-4729-42f0-805e-f0a7ec969753&secure%5Btoken%5D=67a85894973a9f48dcd73c0370b1c96fe75db779c5830424e1ad6b2bc8d636ce&format=llm_user) ## Apache PredictionIO Features **Integration - Machine Learning** - Integration **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm ## Top Apache PredictionIO Alternatives - [Automation Anywhere Agentic Process Automation](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews) - 4.5/5.0 (4,019 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,918 reviews) - [Phrase](https://www.g2.com/products/phrase-phrase/reviews) - 4.5/5.0 (1,271 reviews)