What users are saying about
24 Ratings
8 Ratings
24 Ratings
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Score 8 out of 100
8 Ratings
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Score 8.4 out of 100

Attribute Ratings

  • Apache Pig is rated higher in 1 area: Usability
  • IBM Db2 Big SQL is rated higher in 2 areas: Likelihood to Recommend, Support Rating

Likelihood to Recommend

7.8

Apache Pig

78%
9 Ratings
9.0

Db2 Big SQL

90%
2 Ratings

Usability

10.0

Apache Pig

100%
1 Rating
8.0

Db2 Big SQL

80%
1 Rating

Support Rating

6.0

Apache Pig

60%
2 Ratings
8.8

Db2 Big SQL

88%
4 Ratings

Likelihood to Recommend

Apache Pig

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.
Prateek Agarwal | TrustRadius Reviewer

Db2 Big SQL

My recommendation obviously would depend on the application. But I think given the right requirements, IBM DB2 Big SQL is definitely a contender for a database platform. Especially when disparate data and multiple data stores are involved. I like the fact I can use the product to federate my data and make it look like it's all in one place. The engine is high performance and if you desire to use Hadoop, this could be your platform.
Gene Baker | TrustRadius Reviewer

Pros

Apache Pig

  • 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.
Sourov K Chowdhury | TrustRadius Reviewer

Db2 Big SQL

  • data storage
  • data manipulation
  • data definitions
  • data reliability
John Spies | TrustRadius Reviewer

Cons

Apache Pig

  • 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.
Kartik Chavan | TrustRadius Reviewer

Db2 Big SQL

  • Cloud readiness.
  • Ease of implementation.
Gene Baker | TrustRadius Reviewer

Pricing Details

Apache Pig

General

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

Starting Price

Db2 Big SQL

General

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

Starting Price

Usability

Apache Pig

Apache Pig 10.0
Based on 1 answer
It is quick, fast and easy to implement Apache Pig which makes is quite popular to be used.
Subhadipto Poddar | TrustRadius Reviewer

Db2 Big SQL

Db2 Big SQL 8.0
Based on 1 answer
IBM DB2 is a solid service but hasn't seen much innovation over the past decade. It gets the job done and supports our IT operations across digital so it is fair.
John Spies | TrustRadius Reviewer

Support Rating

Apache Pig

Apache Pig 6.0
Based on 2 answers
The documentation is adequate. I'm not sure how large of an external community there is for support.
Jordan Moore | TrustRadius Reviewer

Db2 Big SQL

Db2 Big SQL 8.8
Based on 4 answers
IBM did a good job of supporting us during our evaluation and proof of concept. They were able to provide all necessary guidance, answer questions, help us architect it, etc. We were pleased with the support provided by the vendor. I will caveat and say this support was all before the sale, however, we have a ton of IBM products and they provide the same high level of support for all of them. I didn't see this being any different. I give IBM support two thumbs up!
Gene Baker | TrustRadius Reviewer

Alternatives Considered

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 which can be coded with Python, Java.
Anonymous | TrustRadius Reviewer

Db2 Big SQL

MS SQL Server was ruled out given we didn't feel we could collapse environments. We thought of MS-SQL as more of a one for one replacement for Sybase ASE, i.e., server for server. SAP HANA was evaluated and given a big thumbs up but was rejected because the SQL would have to be rewritten at the time (now they have an accelerator so you don't have to). Also, there was a very low adoption rate within the enterprise. IBM DB2 Big SQL was not selected even though technically it achieved high scores, because we could not find readily available talent and low adoption rate within the enterprise (basically no adoption at the time). We ended up selecting Exadata because of the high adoption rate within the enterprise even though technically HANA and Big SQL were superior in our evaluations.
Gene Baker | TrustRadius Reviewer

Return on Investment

Apache Pig

  • 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.
Anonymous | TrustRadius Reviewer

Db2 Big SQL

  • better data visibility
  • solid reliability for mission critical data
John Spies | TrustRadius Reviewer

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