Apache PredictionIO Pros and Cons

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

One of the best virtues of Apache PredictionIO is that it is a tool very easy to use and understand after a few uses. It has a great structure, which greatly simplifies the process of creation and evaluation in machine learning models, which can be based on Apache. Review collected by and hosted on G2.com.

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, such as being able to adapt to Latin Spanish, French, etc. Review collected by and hosted on G2.com.

scalability, very ease of integration, smooth, cloud based. Review collected by and hosted on G2.com.

Complex UI, Not so user beginner friendly, learning curve is steep. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

The software lets you deal with dynamic queries and reply to them in the most effective and efficient manner in real time. Review collected by and hosted on G2.com.

The Interface of the software is too tricky to be used by everyone. Only tech savy person can use the same effectively. Review collected by and hosted on G2.com.