Apache Pig vs. Clever

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

I am able to go to Clever and log into several of the most used websites that I use for my classes on a regular basis. It makes everything very handy. I would definitely recommend using Clever for teachers who want everything in one place. It’s a great tool for teachers.

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

• single sign on
• user interface
• integration with different programs/services/apps

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 could use more ways to be able to log in besides just Clever and Google.
• I wish I could show my students what they see on my board and not mine.
• Could use more ways to add content.

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

Clever isn't a student platform or management system, but more an interface to launch into other programs and applications

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 headache
• Once 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 team
• As 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

• I don't have to struggle to find the websites that I need.
• My students know exactly where to go when it’s time to take a test.
• My teammates can access sites that I add, and vice versa.

Incentivized