AWS Data Exchange vs. Oracle Data Integrator (ODI)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Data Exchange
Score 9.8 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 Data Integrator (ODI)
Score 6.2 out of 10
N/A
Oracle Data Integrator is an ELT data integrator designed with interoperability other Oracle programs. The program focuses on a high-performance capacity to support Big Data use within Oracle.N/A
Pricing
AWS Data ExchangeOracle Data Integrator (ODI)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AWS Data ExchangeOracle Data Integrator (ODI)
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 Data Integrator (ODI)
Features
AWS Data ExchangeOracle Data Integrator (ODI)
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
AWS Data Exchange
8.0
Ratings
5% below category average
Oracle Data Integrator (ODI)
9.6
Ratings
13% above category average
Connect to traditional data sources7.00 Ratings9.90 Ratings
Connecto to Big Data and NoSQL9.00 Ratings9.30 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
AWS Data Exchange
8.2
Ratings
3% above category average
Oracle Data Integrator (ODI)
9.2
Ratings
14% above category average
Data model creation9.00 Ratings9.30 Ratings
Metadata management9.00 Ratings9.50 Ratings
Business rules and workflow7.00 Ratings9.10 Ratings
Collaboration9.00 Ratings8.50 Ratings
Testing and debugging7.00 Ratings9.30 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
AWS Data Exchange
7.0
Ratings
15% below category average
Oracle Data Integrator (ODI)
9.1
Ratings
11% above category average
Integration with data quality tools7.00 Ratings9.50 Ratings
Integration with MDM tools00 Ratings8.70 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
AWS Data Exchange
-
Ratings
Oracle Data Integrator (ODI)
9.9
Ratings
19% above category average
Simple transformations00 Ratings9.90 Ratings
Complex transformations00 Ratings9.90 Ratings
Best Alternatives
AWS Data ExchangeOracle Data Integrator (ODI)
Small Businesses
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Score 9.9 out of 10
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Score 9.9 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
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Score 8.0 out of 10
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Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
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Score 8.0 out of 10
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Score 8.0 out of 10
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User Ratings
AWS Data ExchangeOracle Data Integrator (ODI)
Likelihood to Recommend
1.0
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
1.0
(0 ratings)
10.0
(0 ratings)
Implementation Rating
-
(0 ratings)
7.0
(0 ratings)
User Testimonials
AWS Data ExchangeOracle Data Integrator (ODI)
Likelihood to Recommend
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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I tried various ETL tools and here is [where and] why I recommend Oracle Data Integrator. 1. When you want to process structured data from different databases - Teradata, Exadata, DB2, SQL, Oracle etc. 2. Oracle Data Integrator supports all platforms, hardware, and OS. This is a major advantage compared to other leading tools. 3. The ELT architecture giving a cutting edge performance over leading ETL tools. There is no need to align Oracle Data Integrator between source and target. ODI uses the source and target servers to perform complex transformations. 4. Speeds up the development and maintenance by reducing the code that developers need to write
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Pros
  • 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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  • Converts data from various sources into one target format using various business logic rules and integrates with various DBMS types.
  • Transformed data from DB2, SQL Server and other Oracle databases into flat files and then used ETL jobs to load into Oracle DB target
  • Data Integrator and Goldengate were used together to accomplish the data movement needed for business and data consolidation in live environment. Data Integrator helped with development and in reducing lead time to convert data into target.
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Cons
  • 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 support is not the best when needing help with the system
  • The documentation is also very poor and takes very long to generate
  • Some parts of it are not intuitive to use and get hard to troubleshoot
  • Like other Oracle products, you must have very, very thorough knowledge about their systems to understand
  • Like all Oracle products, cost is high
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Likelihood to Renew
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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It is maturing and over time will have a good pool of resources. Each new version has addressed the issues of the previous ones. Its getting better and bigger.
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Alternatives Considered
No answers on this topic
Talend Data Integrator has been evaluated during the setup of the architecture for a customer, in comparison to ODI, since it's an open source ETL. But, differently from the meaning of "open source", it has licence costs too that aren't that different from ODI ones. Moreover, the other components of the business intelligence architecture of the customer were Oracle, so we thought that ODI would suit at best with them, more than a different vendor software.
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Return on Investment
  • 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%
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  • Oracle Data Integrator helps provide a business with the data it needs to defend the decisions it makes.
  • Oracle Data Integrator allows you to analyze data from what can be separate, different, and often outdated data sources. It allows you to make direct comparisons when analyzing data from different pieces of equipment.
  • Data from Oracle Data Integrator was used to analyze manufacturing quality and drive down spoilage, saving the company money.
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ScreenShots