Oracle Warehouse Builder vs. SAS Data Management

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Oracle Warehouse Builder
Score 8.7 out of 10
N/A
Oracle Warehouse Builder (OWB) is a data-warehousing centered data integration solution, from Oracle. It offers basic ETL functionality for building a simple data warehouse, as well as advanced ETL functionality supporting enterprise data integration projects, along with connectivity for Oracle and SAP applications.N/A
SAS Data Management
Score 8.0 out of 10
N/A
A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.N/A
Pricing
Oracle Warehouse BuilderSAS Data Management
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Oracle Warehouse BuilderSAS Data Management
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Features
Oracle Warehouse BuilderSAS Data Management
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Oracle Warehouse Builder
9.5
5 Ratings
14% above category average
SAS Data Management
8.3
10 Ratings
1% above category average
Connect to traditional data sources10.05 Ratings8.610 Ratings
Connecto to Big Data and NoSQL9.02 Ratings8.19 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Oracle Warehouse Builder
10.0
5 Ratings
17% above category average
SAS Data Management
6.7
8 Ratings
22% below category average
Simple transformations10.05 Ratings6.18 Ratings
Complex transformations10.04 Ratings7.48 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Oracle Warehouse Builder
8.2
5 Ratings
0% above category average
SAS Data Management
6.7
8 Ratings
20% below category average
Data model creation10.04 Ratings5.56 Ratings
Metadata management6.04 Ratings7.47 Ratings
Business rules and workflow9.04 Ratings6.67 Ratings
Collaboration8.94 Ratings7.07 Ratings
Testing and debugging7.04 Ratings6.17 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Oracle Warehouse Builder
8.0
3 Ratings
3% below category average
SAS Data Management
7.9
9 Ratings
4% below category average
Integration with data quality tools8.03 Ratings7.69 Ratings
Integration with MDM tools8.02 Ratings8.27 Ratings
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User Ratings
Oracle Warehouse BuilderSAS Data Management
Likelihood to Recommend
8.0
(5 ratings)
7.6
(11 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(2 ratings)
Usability
-
(0 ratings)
6.0
(2 ratings)
Performance
-
(0 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
7.7
(6 ratings)
User Testimonials
Oracle Warehouse BuilderSAS Data Management
Likelihood to Recommend
Oracle
The best place for Oracle Warehouse Builder is at the business IT level. It's not suited for business-level users. They are easy confused. One way to reduce the confusion for the developers is to set up the workspaces based on the requirements that are discovered in design sessions. Once this is complete, the implementation of Oracle Warehouse Builder can take flight and be successful.
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SAS
When data is in a system that needs a complex transformation to be usable for an average user. Such tasks as data residing in systems that have very different connection speeds. It can be integrated and used together after passing through the SAS Data Integration Studio removing timing issues from the users' worries. A part that is perhaps less appropriate is getting users who are not familiar with the source data to set up the load processes.
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Pros
Oracle
  • Easy transformation.
  • Easy implementation from Oracle to Oracle systems.
  • Ease of usage and easy to learn.
  • Starting component of metadata management.
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SAS
  • SAS/Access is great for manipulating large and complex databases.
  • SAS/Access makes it easy to format reports and graphics from your data.
  • Data Management and data storage using the Hadoop environment in SAS/Access allows for rapid analysis and simple programming language for all your data needs.
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Cons
Oracle
  • What I noticed is that sometimes OWB doesn't generate the best SQL in the package especially when there are a high number of source tables in the ETL. It would be nice if ETL developers were allowed to update the generated packages in the database directly.
  • Another thing - moving OWB ETLs from one database to another one could be easier - for example it would be nice to just copy the generated packages from one database to the other one without doing the deployment of these ETLs through OWB.
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SAS
  • Requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres.
  • Debugging errors from the logs is a complicated process.
  • E-mail alert system is very primitive and needs customization to make it more modern,
  • Cannot send SMS alerts for jobs.
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Likelihood to Renew
Oracle
No answers on this topic
SAS
We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
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Usability
Oracle
No answers on this topic
SAS
The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
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Performance
Oracle
No answers on this topic
SAS
It worked as expected.
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Support Rating
Oracle
No answers on this topic
SAS
With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
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Alternatives Considered
Oracle
Ab>initio, IBM Datastage 8.0
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SAS
Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
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Return on Investment
Oracle
  • It improved understanding of ETL functions. Data is consistent. The speed is pretty good.
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SAS
  • We have more users who can connect to the many different data sources.
  • Our users do have existing SAS programming knowledge and that can carry over.
  • Business functions are starting to rely on SAS Data Integration Studio work product shortly after introduction.
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