Oracle Warehouse Builder vs. SAP Data Intelligence

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
SAP Data Intelligence
Score 8.5 out of 10
N/A
SAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of the company's data orchestration and management solution running on Kubernetes, released by SAP in 2017 to deal with big data and complex data orchestration working across distributed landscapes and processing engine.N/A
Pricing
Oracle Warehouse BuilderSAP Data Intelligence
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Oracle Warehouse BuilderSAP Data Intelligence
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Oracle Warehouse BuilderSAP Data Intelligence
Top Pros
Top Cons
Features
Oracle Warehouse BuilderSAP Data Intelligence
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Oracle Warehouse Builder
9.5
5 Ratings
15% above category average
SAP Data Intelligence
-
Ratings
Connect to traditional data sources10.05 Ratings00 Ratings
Connecto to Big Data and NoSQL9.02 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Oracle Warehouse Builder
10.0
5 Ratings
18% above category average
SAP Data Intelligence
-
Ratings
Simple transformations10.05 Ratings00 Ratings
Complex transformations10.04 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Oracle Warehouse Builder
8.2
5 Ratings
1% above category average
SAP Data Intelligence
-
Ratings
Data model creation10.04 Ratings00 Ratings
Metadata management6.04 Ratings00 Ratings
Business rules and workflow9.04 Ratings00 Ratings
Collaboration8.94 Ratings00 Ratings
Testing and debugging7.04 Ratings00 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
SAP Data Intelligence
-
Ratings
Integration with data quality tools8.03 Ratings00 Ratings
Integration with MDM tools8.02 Ratings00 Ratings
Best Alternatives
Oracle Warehouse BuilderSAP Data Intelligence
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10

No answers on this topic

Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
Talend Data Fabric
Talend Data Fabric
Score 9.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Oracle Warehouse BuilderSAP Data Intelligence
Likelihood to Recommend
8.0
(5 ratings)
8.1
(54 ratings)
Likelihood to Renew
-
(0 ratings)
8.2
(2 ratings)
Usability
-
(0 ratings)
7.1
(49 ratings)
Support Rating
-
(0 ratings)
7.3
(46 ratings)
Configurability
-
(0 ratings)
8.2
(1 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(1 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
Oracle Warehouse BuilderSAP Data Intelligence
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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SAP
It helps our BUs analyze data and create dashboards they can understand. While slowing down with a large database, it becomes less helpful. In my experience, it is excellent in consolidating information from several sources for analysis, decision-making, and knowledge gaps. Excellent at managing information access.
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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.
Read full review
SAP
  • It integrates well with our current ecosystem of SAP products, like HANA.
  • It provides end-to-end machine learning operations, with tools for the complete model life cycle.
  • It has a simple user interface for novice users, with complex tools also available for power users.
  • It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
  • It can run in the cloud, no on-premise software management needed.
  • Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
  • SAP is very actively developing and improving it.
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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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SAP
  • Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.
Read full review
Likelihood to Renew
Oracle
No answers on this topic
SAP
Allow collaborations among various personas
with insights as ratings and comments on the
datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence
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Usability
Oracle
No answers on this topic
SAP
Good tool with lots of potential, but I still see a lot of room for improvement, e.g. when it comes to debugging functionality to understand exactly where pipelines fail and what the data at that point looks like (similar to BW debugging). Also, I am missing SAPs standard machine learning libraries (Python) to be pre-installed, among some other general usability improvements.
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Support Rating
Oracle
No answers on this topic
SAP
Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,
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Alternatives Considered
Oracle
Ab>initio, IBM Datastage 8.0
Read full review
SAP
One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.
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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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SAP
  • Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
  • Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
  • It runs multiple ML models which enhances flexibility when managing data.
Read full review
ScreenShots

SAP Data Intelligence Screenshots

Screenshot of Business GlossaryScreenshot of Example of data quality operatorsScreenshot of Data profiling fact sheetScreenshot of SAP Data Intelligence Jupyter lab notebook for machine learningScreenshot of SAP Data Intelligence data pipeline using PythonScreenshot of SAP Data Intelligence example ata quality dashboard