Alluxio vs. Apache Pig

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Alluxio
Score 10.0 out of 10
N/A
Alluxio (formerly Tachyon) is an open source virtual distributed storage system.N/A
Apache Pig
Score 8.4 out of 10
N/A
Apache Pig is a programming tool for creating MapReduce programs used in Hadoop.N/A
Pricing
AlluxioApache Pig
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AlluxioApache Pig
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AlluxioApache Pig
Top Pros
Top Cons
Best Alternatives
AlluxioApache Pig
Small Businesses

No answers on this topic

No answers on this topic

Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.7 out of 10
IBM Analytics Engine
IBM Analytics Engine
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AlluxioApache Pig
Likelihood to Recommend
-
(0 ratings)
8.2
(9 ratings)
Usability
-
(0 ratings)
10.0
(1 ratings)
Support Rating
-
(0 ratings)
6.0
(1 ratings)
User Testimonials
AlluxioApache Pig
Likelihood to Recommend
Alluxio
No answers on this topic
Apache
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.
Read full review
Pros
Alluxio
No answers on this topic
Apache
  • 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.
Read full review
Cons
Alluxio
No answers on this topic
Apache
  • 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.
Read full review
Usability
Alluxio
No answers on this topic
Apache
It is quick, fast and easy to implement Apache Pig which makes is quite popular to be used.
Read full review
Support Rating
Alluxio
No answers on this topic
Apache
The documentation is adequate. I'm not sure how large of an external community there is for support.
Read full review
Alternatives Considered
Alluxio
No answers on this topic
Apache
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.
Read full review
Return on Investment
Alluxio
No answers on this topic
Apache
  • 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.
Read full review
ScreenShots