Apache PredictionIO Review

Apache PredictionIO OUR SCORE 92%
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our score 92%
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  1. What is Apache PredictionIO
  2. Product Quality Score
  3. Main Features
  4. List of Benefits
  5. Technical Specifications
  6. Available Integrations
  7. Customer Support
  8. Pricing Plans
  9. Other Popular Software Reviews

What is Apache PredictionIO ?

Apache PredictionIO is an open-source machine learning server created by The Apache Software Foundation. The app allows data scientists and developers to quickly create and publish a machine learning engine to the internet as a service. Using Apache PredictionIO, users can check the machine learning libraries such as OpenNLP and Spark MLLib, and allow them to get algorithms from many sources. Through this procedure, users can have many algorithm resources to refer to. Lastly, Apache PredictionIO helps developers to enforce their unique machine learning models and weave their functions to their own systems. Moreover, the platform simplifies data infrastructure management for its users.

Product Quality Score

Features
9.3
Ease of use
9.4
Customer support
9.0
Value for money
9.1
9.2
TOTAL SCORE

Apache PredictionIO features

Main features of Apache PredictionIO are:

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

Apache PredictionIO Benefits

Benefits

The main benefits of Apache PredictionIO are its flexible open-source machine that can integrate with many apps, complete tools for creating apps from scratch even without coding knowledge, and its automatic data collection that can gauge the created app’s effectiveness upon implementation.

Open-source Platform

Apache Prediction IO is an open-source machine learning platform that enables data scientists and developers to construct, assess, and send out engines through machine learning algorithms. The app enables the user to rely on the platform for their work without restrictions.

Flexible Infrastructure

With the app, users can select the deployment method that is most suitable for them. The app can be installed on computing machines like a full learning package with MLlib, Apache Spark, Spray, HBase, and Elasticsearch. With all these apps combined, the machine learning infrastructure is done easier and faster.

Template Library

Apache Prediction IO users have a choice to not start from scratch when making their own programs. Since the app has a template library, users can customize these base apps to soon be part of their machine learning processes. The templates also hasten the model creation process.

Application Integration

Apache PredictionIO also comes with an API that allows integration with mobile or web applications. With this feature, users have the flexibility to further customize their target platform and its compatible apps.

Continuous Data Collection

Using Apache PredictionIO, users can trust that their app data is automatically recorded. With this information, the engine can create predictive models from the collected data. Additionally, the engine applies these data-made models to become solutions to active queries and even comes with precise predictions only applied as a web service.

Technical Specifications

Devices Supported

  • Web-based
  • iOS
  • Android
  • Desktop

Customer types

  • Small business
  • Medium business
  • Enterprise

Customer Support Types

  • Phone
  • Online

Apache PredictionIO Integrations

The following Apache PredictionIO integrations are currently offered by the vendor:

  • Custom applications

Customer Support

Online

Pricing Plans

Apache PredictionIO pricing is available in the following plans:

Free trial
APACHE PREDICTIONIO
Free
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