What users are saying about
24 Ratings
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Score 8 out of 100
218 Ratings
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Score 8.6 out of 100

Attribute Ratings

  • Oracle Data Warehouse is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

7.8

Apache Pig

78%
9 Ratings
8.0

Oracle Data Warehouse

80%
12 Ratings

Usability

10.0

Apache Pig

100%
1 Rating

Oracle Data Warehouse

N/A
0 Ratings

Support Rating

6.0

Apache Pig

60%
2 Ratings

Oracle Data Warehouse

N/A
0 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

Oracle Data Warehouse

Including other products, Oracle is very specialized in business support. Choosing Oracle Data Warehouse would be a safe choice for an enterprise-level company (more than a thousand employees). Healthcare organizations may want to consider Oracle, as they are typically conservative with privacy and security issues with patient data. Although cloud-based systems are widely being adopted in the healthcare industry (such as population research or genomics), core data sets (such as patients' sensitive medical records) may be better stored with a home-grown data center and warehouse solution.
Anonymous | 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

Oracle Data Warehouse

  • Able to handle very large data sizes efficiently from a performance, high availability and manageability perspective. This is accomplished through the Oracle Partitioning functionality. Partitioning allows large segments (tables, IOT index-organized tables, indexes) to be broken into smaller segments at the physical layer but treated as a whole at the logical layer.
  • Provides support for dual-format architecture through Oracle In-Memory functionality. Without any change to application code one can obtain in-memory performance. This functionality enables us to have the tables represented in both the row format and the column format using in-memory format. This is a huge boost for BI/analytic queries since the Oracle optimizer is able to intelligently choose the appropriate format.
  • Provision to materialize a subset of table data or table joins. This is through materialized views and the optimizer will rewrite the query against the base tables to make use of this materialized view. This provides a huge performance boost and is critical in VLDBs as in a data warehouse. The query rewrite is fully transparent to users.
  • Provides multiple compression capabilities. This is very useful not only for deducing the storage foot print but as well as increase performance at different layers of the infrastructure including query performance. The compression functionality can be applied against both structured and unstructured data.
  • With the advent of Engineered Systems (Exadata, Database Machine, SuperCluster) there are specific features and functionalities that can further boost the Oracle data warehouse. These are related to consolidation, Smart Scan, Storage Indexes, EHCC (Exadata hybrid columnar compression) and much more.
  • RAC - Real Application Clusters (with 2 or more nodes) provides functionality for high availability, performance and scaling as the work load increases. The parallelism is provided both within a node and as well as across nodes. If for any reason a node goes down the data warehouse is still available through other nodes and the running queries are transparently failed over to the surviving nodes.
Suresh Muddaveerappa | 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

Oracle Data Warehouse

  • Customer support isn't the best out there. We usually have to wait about an hour to get some form of assistance.
  • Pricing is a bit higher than many of its competitors such as AWS Redshift.
  • Tweaking features requires dedicated staff. Software is fairly advanced. Would be difficult to use for newcomers.
Anonymous | TrustRadius Reviewer

Pricing Details

Apache Pig

General

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

Starting Price

Oracle Data Warehouse

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

Oracle Data Warehouse

No score
No answers yet
No answers on this topic

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

Oracle Data Warehouse

No score
No answers yet
No answers on this topic

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

Oracle Data Warehouse

Oracle is, in my opinion, the top dog in this space. I feel like the other vendors are playing catch-up to where Oracle is right now. It is also likely the most expensive option out there.
Anonymous | 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

Oracle Data Warehouse

  • Very cost effective for large databases.
  • Very fast results on simple queries.
  • Analytical functionalities are of wide range, which makes it very cost effective.
  • For smaller businesses, it might be a great asset.
  • Some features are supposed to be bought separately, so one needs to consider this before licensing with Oracle DW.
Kartik Chavan | TrustRadius Reviewer

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