2 Reviews and Ratings
22 Reviews and Ratings
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We were able to deploy various applications using this and the memory io feature also helped in high-end results. The overall feel and global namespace help in deploying server-side API translations. We can expect greater heights as and when simplified with cloud gives a boon to all.Incentivized
Apache Pig is best suited for ETL-based data processes. It is good in performance in handling and analyzing a large amount of data. it gives faster results than any other similar tool. It is easy to implement and any user with some initial training or some prior SQL knowledge can work on it. Apache Pig is proud to have a large community base globally.Incentivized
It's open source hence brilliant to work with.Memory speed IO is great and helps achieve speed.Simplified cloud infra is another benefit.Incentivized
Its performance, ease of use, and simplicity in learning and deployment.Using this tool, we can quickly analyze large amounts of data.It's adequate for map-reducing large datasets and fully abstracted MapReduce.Incentivized
Cost can be subsidised in case of long term.Easy to understand documents.Incentivized
UDFS Python errors are not interpretable. Developer struggles for a very very long time if he/she gets these errors.Being in early stage, it still has a small community for help in related matters.It needs a lot of improvements yet. Only recently they added datetime module for time series, which is a very basic requirement.Incentivized
It is quick, fast and easy to implement Apache Pig which makes is quite popular to be used.Incentivized
The documentation is adequate. I'm not sure how large of an external community there is for support.Incentivized
Apache Pig might help to start things faster at first and it was one of the best tool years back but it lacks important features that are needed in the data engineering world right now. Pig also has a steeper learning curve since it uses a proprietary language compared to Spark which can be coded with Python, Java. Incentivized
Got best user experience in house.Helped retain clients with better results.Got a better turnover.Incentivized
Higher learning curve than other similar technologies so on-boarding new engineers or change ownership of Apache Pig code tends to be a bit of a headacheOnce the language is learned and understood it can be relatively straightforward to write simple Pig scripts so development can go relatively quickly with a skilled teamAs distributed technologies grow and improve, overall Apache Pig feels left in the dust and is more legacy code to support than something to actively develop with.Incentivized