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Apache PredictionIO Review

Apache PredictionIO
Our score: 9.2 User satisfaction: 100%

What is Apache PredictionIO?

Apache PredictionIO is an open source machine learning server designed by The Apache Software Foundation. It enables developers and data scientists to swiftly build and publish a machine learning engine to the web as a service.

With Apache PredictionIO, users have access to machine learning libraries like Spark MLLib and OpenNLP, letting them retrieve algorithms from different sources. This way, they are not limited only to one algorithm library.

Moreover, Apache PredictionIO assists developers in implementing their unique machine learning models and integrating them into their own engines. On top of that, the platform also serves to make the management of data infrastructure as simple as possible.

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Overview of Apache PredictionIO Benefits

Open Source Platform

Apache PredictionIO is an open source machine learning platform that allows developers and data scientists to build, evaluate, and deploy engines by utilizing machine learning algorithms. This allows them to employ the platform in their projects without limitations.

Flexible Infrastructure

With Apache PredictionIO, users can choose which method to use to deploy the platform. It can be installed on computing machines as a full learning stack together with Apache Spark, MLlib, HBase, Spray, and Elasticsearch. This makes machine learning infrastructure management simple and quicker.

Template Library

Users of Apache PredictionIO do not have to always start from scratch in creating their own engines. That is because the platform has a library of templates that they can customize for their machine learning tasks. This makes the creation of models faster and more efficient.

Application Integration

Apache PredictionIO has an API that supports integration with web or mobile applications. This gives users the flexibility they need to customize their usage of the platform and of their applications.

Continuous Data Collection

With Apache PredictionIO, users can rest assured that their data from their application is being continuously collected. This way, the engine can build predictive models using the aggregate. The engine then employs them in responding to real-time queries with accurate predictions once it has been deployed as a web service.

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Overview of Apache PredictionIO Features

  • Customizable Templates
  • Real-Time Queries Response
  • Engine Variants Evaluation & Tuning
  • Data Unification
  • Machine Learning Modeling & Incorporation
  • Machine Learning & Data Processing Libraries
  • Data Infrastructure Management

Apache PredictionIO Position In Our Categories

Because companies have specific business-related needs, it is only reasonable that they steer clear of preferring a one-size-fits-all, ”best” software solution. Just the same, it is nearly futile to chance on such application even among popular software products. The sensible step to do would be to narrow down the varied major aspects that merit investigation including essential features, price plans, skill levels of staff, business size, etc. After which, you must do your research systematically. Read some of these Apache PredictionIO reviews and explore the other applications in your shortlist in detail. Such comprehensive research guarantees you stay away from unfit apps and choose the one that delivers all the benefits your company requires.

Position of Apache PredictionIO in our main categories:

TOP 5

Apache PredictionIO is one of the top 5 AI Software products

Enterprises have different wants and requirements and no software solution can be perfect in such a situation. It is futile to try to find a perfect off-the-shelf software system that fulfills all your business wants. The intelligent thing to do would be to adapt the solution for your specific wants, employee skill levels, budget, and other factors. For these reasons, do not hasten and subscribe to well-publicized popular applications. Though these may be widely used, they may not be the perfect fit for your unique needs. Do your research, look into each short-listed application in detail, read a few Apache PredictionIO AI Software reviews, call the vendor for clarifications, and finally choose the application that offers what you want.

How Much Does Apache PredictionIO Cost?

Apache PredictionIO Pricing Plans:

Free Trial

Apache PredictionIO

Free

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What are Apache PredictionIO pricing details?

Apache PredictionIO Pricing Plans:

Free Trial

Apache PredictionIO

Free

There are no enterprise pricing plans.

User Satisfaction

Positive Social Media Mentions 12
Negative Social Media Mentions 0

We realize that when you decide to get a AI Software it’s important not only to see how professionals score it in their reviews, but also to check if the real users and companies that use these solutions are indeed satisfied with the service. Because of that need we’ve devised our behavior-based Customer Satisfaction Algorithm™ that aggregates customer reviews, comments and Apache PredictionIO reviews across a vast array of social media sites. The information is then displayed in a simple to understand form indicating how many users had positive and negative experience with Apache PredictionIO. With that information available you will be ready to make an informed purchasing choice that you won’t regret.

Technical details

Devices Supported

  • Windows
  • Linux
  • Mac

Deployment

  • On Premise
  • Open API

Language Support

  • English

Pricing Model

  • Free

Customer Types

  • Small Business
  • Large Enterprises
  • Medium Business
  • Freelancers

What Support Does This Vendor Offer?

  • email
  • phone
  • live support
  • training
  • tickets

What integrations are available for Apache PredictionIO?

Apache PredictionIO can integrate with custom applications.

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Nestor Gilbert

By Nestor Gilbert

Nestor Gilbert is a senior B2B and SaaS analyst and a core contributor at FinancesOnline for over 5 years. With his experience in software development and extensive knowledge of SaaS management, he writes mostly about emerging B2B technologies and their impact on the current business landscape. However, he also provides in-depth reviews on a wide range of software solutions to help businesses find suitable options for them. Through his work, he aims to help companies develop a more tech-forward approach to their operations and overcome their SaaS-related challenges.

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