AWS Data Exchange vs. Oracle Warehouse Builder

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Data Exchange
Score 5.6 out of 10
N/A
AWS Data Exchange is an integration for data service, from which subscribers can easily browse the AWS Data Exchange catalog to find relevant and up-to-date commercial data products covering a wide range of industries, including financial services, healthcare, life sciences, geospatial, consumer, media & entertainment, and more.N/A
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
Pricing
AWS Data ExchangeOracle Warehouse Builder
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AWS Data ExchangeOracle Warehouse Builder
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
Community Pulse
AWS Data ExchangeOracle Warehouse Builder
Top Pros
Top Cons
Features
AWS Data ExchangeOracle Warehouse Builder
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
AWS Data Exchange
8.0
2 Ratings
3% below category average
Oracle Warehouse Builder
9.5
5 Ratings
14% above category average
Connect to traditional data sources7.02 Ratings10.05 Ratings
Connecto to Big Data and NoSQL9.01 Ratings9.02 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
AWS Data Exchange
8.2
1 Ratings
0% above category average
Oracle Warehouse Builder
8.2
5 Ratings
0% above category average
Data model creation9.01 Ratings10.04 Ratings
Metadata management9.01 Ratings6.04 Ratings
Business rules and workflow7.01 Ratings9.04 Ratings
Collaboration9.01 Ratings8.94 Ratings
Testing and debugging7.01 Ratings7.04 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
AWS Data Exchange
7.0
1 Ratings
16% below category average
Oracle Warehouse Builder
8.0
3 Ratings
3% below category average
Integration with data quality tools7.01 Ratings8.03 Ratings
Integration with MDM tools00 Ratings8.02 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
AWS Data Exchange
-
Ratings
Oracle Warehouse Builder
10.0
5 Ratings
17% above category average
Simple transformations00 Ratings10.05 Ratings
Complex transformations00 Ratings10.04 Ratings
Best Alternatives
AWS Data ExchangeOracle Warehouse Builder
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10
Skyvia
Skyvia
Score 9.6 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Data ExchangeOracle Warehouse Builder
Likelihood to Recommend
1.0
(2 ratings)
8.0
(5 ratings)
Likelihood to Renew
1.0
(1 ratings)
-
(0 ratings)
User Testimonials
AWS Data ExchangeOracle Warehouse Builder
Likelihood to Recommend
Amazon AWS
AWS Data Exchange fits best for scenarios where you have datasets that you would like to sell and you want to deliver it to anyone who would like to purchase it. It really beats having to set up downloads via your own website or portal. However, it can get complicated to manage if you're trying to deliver a dataset a client has already paid for.
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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.
Read full review
Pros
Amazon AWS
  • Simplified data delivery
  • Ability to create any amount of data products
  • Ability to integrate payment plans with data products
  • Tracking data downloads and users
  • Integration with other AWS data services
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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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Cons
Amazon AWS
  • Integration with more data sources
  • Ability to deliver data to clients without AWS accounts
  • Inclusion of direct data downloads in addition to asynchronous methods
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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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Likelihood to Renew
Amazon AWS
There have been a lot of problems with ADX. First, the entire system is incredibly clunky from beginning to end.First, by AWS's own admission they're missing a lot of "tablestakes functionality" like the ability to see who is coming to your pages, more flexibility to edit and update your listings, the ability to create a storefront or catalog that actually tries to sell your products. All-in-all you're flying completely blind with AWS. In our convos with other sellers we strongly believe very little organic traffic is flowing through the AWS exchange. For the headache, it's not worth the time or the effort. It's very difficult to market or sell your products.We've also had a number of simple UX bugs where they just don't accurately reflect the attributes of your product. For instance for an S3 bucket they had "+metered costs" displayed to one of our buyers in the price. This of course caused a lot of confusion. They also misrepresented the historical revisions that were available in our product sets because of another UX bug. It's difficult to know what other things in the UX are also broken and incongruent.We also did have a purchase, but the seller is completely at their whim at providing you fake emails, fake company names, fake use cases because AWS hasn't thought through simple workflows like "why even have subscription confirmation if I can fake literally everything about a subscription request." So as a result we're now in an endless, timewasting, unhelpful thread with AWS support trying to get payment. They're confused of what to do and we feel completely lost.Lastly, the AWS team has been abysmal in addressing our concerns. Conversations with them result in a laundry list of excuses of why simple functionalities are so hard (including just having accurate documentation). It was a very frustrating and unproductive call. Our objective of our call was to help us see that ADX is a well-resourced and well-visioned product. Ultimately they couldn't clearly articulate who they built the exchange for both on the seller side and the buyer side.Don't waste your time. This is at best a very foggy experiment. Look at other sellers, they have a lot of free pages to try to get attention, but then have smart tactics to divert transactions away from the ADX. Ultimately, smart move. Why give 8-10% of your cut to a product that is basically bare-bones infrastructure.
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Oracle
No answers on this topic
Alternatives Considered
Amazon AWS
No answers on this topic
Oracle
Ab>initio, IBM Datastage 8.0
Read full review
Return on Investment
Amazon AWS
  • Reduced time to publish datasets for sale by more than 80%
  • Increased net profit from dataset sales by ~10%
  • Reduced data delivery time to clients by 15%
Read full review
Oracle
  • It improved understanding of ETL functions. Data is consistent. The speed is pretty good.
Read full review
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