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WekaIO Review

2

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Very good

Revainrating 4.5 out of 5Β Β 
RatingΒ 
4.5
IT Infrastructure, Cloud File Storage

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Description of WekaIO

WekaIO has built the world's fastest shared file system for AI, machine learning and technical computing workloads. The solution accelerates compute intensive applications so that data scientists, researchers and engineers get to the answer faster. And it saves tremendous cost by ensuring expensive CPU and GPU infrastructure is not not idling waiting for data.

Reviews

Global ratings 2
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Type of review

Revainrating 4 out of 5

Very helpful for data science projects

I used WekaIO to solve a prediction problem. The problem in question was predicting the outcome of a series of actions/choices made by humans. Our team was not familiar with Apache Spark, but WekaIO helped us get up and running with a Spark/H2O application. It was very easy to get up and running and solving our prediction problem. I wish the documentation was more user friendly but this is mostly an issue with our own team. WekaIO solved our problem and we are able to create an actionable…

Pros
  • WekaIO is a very easy to use tool that will help you load in and unload big datasets in a very easy manner
Cons
  • The documentation is not the easiest to understand for beginners, but it is still doable

Revainrating 5 out of 5

We were able to find bugs that other vendors couldn't

I like how easy we can use this product with python scripts. It works very well when you have some large datasets. I also like that they provide free training material. There are many other products out there but none of them work as good with Python scripting. So far nothing! They do offer a lot of support options from phone calls through ticketing systems to chat rooms which makes it easier to reach someone in case something goes wrong. Also they make sure everything gets fixed or at least…

Pros
  • The way their documentation is made available via website, downloadable manuals along side video/audio tutorials for example using scikit learn library helps one learn faster than ever before without knowing much about machine learning itself; all data preprocessing needs (data formatting) could be done right off by just giving input variables within GUI interface instead running commands individually inside terminal prompt no need knowledge required outside CLI environment ; great community
Cons
  • Minor Issues