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18 Ratings
18 Ratings
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Score 7.3 out of 101
10 Ratings
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Score 7.9 out of 101

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Likelihood to Recommend

Apache Pig

It is one great option in terms of database pipelining. It is highly effective for unstructured datasets to work with. Also, Apache Pig being a procedural language, unlike SQL, it is also easy to learn compared to other alternatives. But other alternatives like Apache Spark would be my recommendation due to the high availability of advanced libraries, which will reduce our extra efforts of writing from scratch
Kartik Chavan profile photo

Cloudera Manager

It would be suited for customers who feel more comfortable with using a GUI. It is less appropriate for developers or engineers who are comfortable with command line
Ethan Tran profile photo

Pros

  • Apache pig DSL provides a better alternative to Java map reduce code and the instruction set is very easy to learn and master.
  • It has many advanced features built-in such as joins, secondary sort, many optimizations, predicate push-down, etc.
  • When Hive was not very advanced (extremely slow) few years ago, pig has always been the go to solution. Now with Spark and Hive (after significant updates), the need to learn apache pig may be questionable.
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  • Cloudera Manager has an easy to use web GUI. You can start and stop cluster and services. It will start and stop services in a cluster in the right order. You can monitor the cluster, services, and physical host hardware as well.
  • Cloudera Manager has an easy to use API that allows us to create scripts to automate deployment process.
  • Cloudera Manager has an option to add additional services that you could manage via the web GUI.
Ethan Tran profile photo

Cons

  • Improve Spark support and compatibility
  • Spark and Hive are already being used main-stream, both of them have an instruction set that is easier to learn and master in a matter of days. While apache pig used to be a great alternative to writing java map reduce, Hive after significant updates is now either equal or better than pig.
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  • Cloudera Manager needs to be more agile with integrating other applications, such as Accumulo 1.7, to their software.
  • Cloudera Manager can do a better job at explaining why a node fails to add to a cluster using their assistant.
  • Cloudera Manager should show graphs only when there is data, instead of showing just an empty box.
Ethan Tran profile photo

Likelihood to Renew

No score
No answers yet
No answers on this topic
Cloudera Manager8.5
Based on 2 answers
It meets all my customer's needs.
Ethan Tran profile photo

Usability

Apache Pig10.0
Based on 1 answer
It is quick, fast and easy to implement Apache Pig which makes is quite popular to be used.
Subhadipto Poddar profile photo
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Alternatives Considered

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 to Map Reduce. It is also a good option for working with unstructured datasets. Moreover, in certain cases, Apache Pig is much faster than Hive & Spark.
Kartik Chavan profile photo
I have not used any competitors, such as Hortonworks, because Cloudera Manager just works and meets all my customer's needs. I only have deployed Hadoop using command line, which is not easy to use and manage.
Ethan Tran profile photo

Return on Investment

  • Return on Investments are significant considering what it can do with traditional analysis techniques. But, other alternatives like Apache Spark, Hive being more efficient, it is hard to stick to Apache Pig.
  • It can handle large datasets pretty easily compared to SQL. But, again, alternatives are more efficient.
  • While working on unstructured, decentralized dataset, Pig is highly beneficial, as it is not a complete deviation from SQL, but it does not take you in complexity MapReduce as well.
Kartik Chavan profile photo
  • Cloudera Manager has a positive impact because our users have the windows mentality. They are more comfortable with using an easy to use GUI.
  • We save so much time and effort by having an automated scripted to deploy our environment. It takes at the most 15 minutes to run a one line script to build zookeepers, hadoop, and accumulo database. Run it, come back 15 minutes later, and its done.
  • Due to ease of deployment, our developers and system administrators are happy that they can quickly build and test their application.
Ethan Tran profile photo

Pricing Details

Apache Pig

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Cloudera Manager

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details