What users are saying about
18 Ratings
2 Ratings
18 Ratings
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Score 7.4 out of 101
2 Ratings
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Score 8 out of 101

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

SAP Vora

I spent more than 1 year with SAP Vora, SAP Datahub and SAP Leonardo with ML, iOt. I believe this product has potential but it is not easy to adopt. SAP has to keep in mind how open-source big data technologies are able to deliver quick results. I know SAP is stabilizing and fighting hard against many open source technologies, but it still has a long way to go there.
Dhinesh Kumar Ganeshan,PMP,CSM profile photo

Pros

Apache Pig

  • Long logics in Java? Apache Pig is a good alternative.
  • Has a lot of great features including table joins on many databases like DBMS, Hive, Spark-SQL etc.
  • Faster & easy development compared to regular map-reduce jobs.
Kartik Chavan profile photo

SAP Vora

  • Modelling with SAP HANA and Hadoop
  • Realtime Analysis using Vora and HANA as a Streaming engine
  • Time series Analysis on large chunks of datasets
  • Machine learning capabilities on Hadoop tables and spark contexts
Dhinesh Kumar Ganeshan,PMP,CSM profile photo

Cons

Apache Pig

  • 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.
No photo available

SAP Vora

  • Vora 2.0 in on premise scenarios could be improved, as adoption of the cloud is not an easy sell.
  • Kubernetes and Docker integration need to be more seamless and quick to understand. If this is simplified, it will be easy to adopt
  • Data hub orchestration and integrations could be simplified so that quick adoption within SAP BW, ECC, S4 HANa scenarios is possible.
Dhinesh Kumar Ganeshan,PMP,CSM profile photo

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 profile photo

SAP Vora

No score
No answers yet
No answers on this topic

Alternatives Considered

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 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

SAP Vora

We selected SAP VORA because we needed acclerated integration with different sources with a huge amount of data. Also the data de-duplication has easily eliminated the different entries in a fastest and enhanced way, which ultimately leads us and the customer to prefer SAP Vora against different products, and has helped eliminate any limitations in using and playing with our data lake.
Pradeep Bele profile photo

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.
No photo available

SAP Vora

  • Negative impact would be Poc and RFI will need more time to adopt and decision making gets delayed
  • Positive impact would be it's a great leap from SAP to adopt a Big data technologies and AI within cloud stream. But selling is going to take time.
Dhinesh Kumar Ganeshan,PMP,CSM 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

SAP Vora

General

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

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