Apache Pig

Apache Pig

22 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Apache Pig	Score8.4 out of 10	N/A	Apache Pig is a programming tool for creating MapReduce programs used in Hadoop.	$0

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Apache Pig

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Pricing Offerings
Apache Pig
Free Trial
No
Free/Freemium Version
Yes
Premium Consulting/Integration Services
No

No setup fee

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Key User Insights
	Apache Pig
Considered Both Products	Apache Sourov K Chowdhury Database Software Engineer in Product Management at Best Web Design Ltd. (Information Technology & Services, 11-50 employees) Chose Apache Pig It takes me less time to write a Pig script than get a Spark program running for batch ETL workloads. Compared to Spark, Pig has a steeper learning curve because it employs a proprietary programming language. In one script and one fine, it can handle both Map Reduce and Hadoop. … Incentivized Helpful? Verified User Chose Apache Pig It can accommodate Map Reduce in a single script and a single fine. IT has very much documentation present for easy learning. SQL like queries makes it easy to understand Incentivized Helpful? Verified User Chose Apache Pig 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 … Incentivized Helpful? Jordan Moore Software Consultant in Information Technology at Avalon Consulting (Information Technology and Services, 51-200 employees) Chose Apache Pig Pig is more focused on scripting in its own PigLatin language rather than integrate into another language like Java/Scala/Python/SQL. However, for batch ETL workloads, I find that I can write a Pig script quicker than setting up and deploying a Spark program, for example. Incentivized Helpful? Subhadipto Poddar Research Assistant in Engineering at Iowa State University (Higher Education, 5001-10,000 employees) Chose Apache Pig Apache Pig is picked up quickly and can be implemented with very little coding skills. Also the other languages require exact matching of versions during installations which made them somewhat less user-friendly. Also most of the tasks that are done in map reduce can be done … Incentivized Helpful? Kartik Chavan Data Analyst in Information Technology at The University of Texas at Arlington (Electrical/Electronic Manufacturing, 1001-5000 employees) Chose Apache Pig I use both Apache Pig and its alternatives like Apache Spark & Apache Hive. Apache Pig was one of the best options in Big Data's initial stages. But now alternatives have taken over the market, rendering Apache Pig behind in the competition. But it is still a better alternative … Incentivized Helpful? Verified User Chose Apache Pig Early on Apache Pig was a great tool for easily writing distributed processing applications without needing to write a complete Java MapReduce job from scratch, but as time as moved on there now better alternatives to get results faster for both ad-hoc analysis and for … Incentivized Helpful? Verified User Chose Apache Pig - Provided better ways for optimized hadoop jobs than Hive but not anymore. - Spark DSL is much more advanced and compute times are significantly less. Incentivized Helpful?
	Would buy again
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	Delivers good value for the price
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	Happy with the feature set
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	Lived up to sales and marketing promises
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	Implementation went as expected
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User Ratings
	Apache Pig
Likelihood to Recommend	8.2 (9 ratings)
Usability	10.0 (1 ratings)
Support Rating	6.0 (1 ratings)