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Oracle Data Integrator (ODI) vs SAS Data Management comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
7.1
Oracle Data Integrator provides high ROI, reducing custom ETL efforts and costs, with Cloud version enhancing implementation and efficiency.
Sentiment score
6.5
SAS Data Management improves data accuracy and reliability, aiding cost efficiency and reporting, crucial in the pharmaceutical industry.
 

Customer Service

Sentiment score
6.0
ODI support gets mixed reviews; quick solo responses but struggles in multi-product setups, often leading users to forums.
Sentiment score
7.1
SAS Data Management customer service is generally reliable but mixed, with efficient technical support and room for improvement.
The technical support of Oracle is very good; they support the Oracle Data Integrator (ODI) solution effectively.
I can get solutions quickly, and any tickets I submit to Oracle are responded to and resolved rapidly.
 

Scalability Issues

Sentiment score
7.6
Oracle Data Integrator scales well, integrating with WebLogic, while configuration and setup impact its performance in various environments.
Sentiment score
7.3
SAS Data Management is scalable, supporting enterprises globally with adaptable performance, seamless integration, and efficient complex data handling.
The scalability and the ability to handle multiple workloads of several parallel ETL jobs could use improvement.
 

Stability Issues

Sentiment score
7.4
Oracle Data Integrator is stable and efficient, with minor configuration challenges resolved in newer versions like 12.1.3 and 12cR2.
Sentiment score
7.6
SAS Data Management is reliable and efficient, with server stability on Linux, but Windows client may require restarts.
In terms of performance stability, I have not experienced any downtimes, crashes, or performance issues with the Oracle Data Integrator (ODI).
 

Room For Improvement

ODI users seek improved performance, usability, integration, and cost-efficiency, with better error handling, authentication, and automation features.
SAS Data Management requires improved cost efficiency, flexibility, user interface, cloud capabilities, integration, accessibility, and training resources.
Integrating AI with ODI that provides recommendations on how to fix those data quality issues after analyzing and profiling business data would be excellent.
If I use a source system like Oracle and a target system like Teradata, ODI will still run, but it struggles a bit with different infrastructures.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
 

Setup Cost

Oracle Data Integrator has complex, costly pricing with various licensing options; discounts and packages can reduce expenses for enterprises.
SAS Data Management is expensive but provides high value, with more affordable solutions integrating multiple functions for data management.
The pricing aspect of Oracle Data Integrator (ODI) is reasonable; it brings significant value to the table.
ODI is cheaper compared to Informatica PowerCenter and IBM DataStage.
From my experience, SAS Data Management is an expensive tool.
 

Valuable Features

Oracle Data Integrator features flexible, customizable integration with diverse technologies, enhancing performance and efficiency in data integration tasks.
SAS Data Management provides seamless integration, quality, and governance with a user-friendly interface and robust transformation capabilities.
The main benefits that Oracle Data Integrator (ODI) brings to the table include data quality, data completeness functionality, metadata management, and the reverse engineering feature, which allows integrating the metadata of diversified data sources with a single click.
Oracle Data Integrator (ODI) is powerful and strong if my system uses Oracle components for environments like OLTP, enterprise data warehouse, or data marts.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
 

Categories and Ranking

Oracle Data Integrator (ODI)
Ranking in Data Integration
9th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
72
Ranking in other categories
No ranking in other categories
SAS Data Management
Ranking in Data Integration
31st
Average Rating
8.4
Reviews Sentiment
6.8
Number of Reviews
17
Ranking in other categories
Data Quality (12th), Data Governance (25th)
 

Mindshare comparison

As of September 2025, in the Data Integration category, the mindshare of Oracle Data Integrator (ODI) is 3.5%, down from 4.4% compared to the previous year. The mindshare of SAS Data Management is 0.9%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Oracle Data Integrator (ODI)3.5%
SAS Data Management0.9%
Other95.6%
Data Integration
 

Featured Reviews

Hafiz Mannan - PeerSpot reviewer
Facilitates complex data integration with ease and flexibility
It would be great if ODI could link the designer, mapping, and workflows in a more simplified manner, maybe in one combined interface. It would be excellent not to have to go into different areas to perform different activities but rather have a user-defined interface where we can configure a job, run it, monitor it, link packages, and link subprocesses all in one frame instead of having the designer separately, mapping separately, and monitoring and session management separately. With respect to data quality challenges, it would be great to give an option to fix data quality issues based on AI. Integrating AI with ODI that provides recommendations on how to fix those data quality issues after analyzing and profiling business data would be excellent. One of the main disadvantages of the Oracle Data Integrator (ODI) is that it sometimes takes a lot of resources when handling multiple jobs. The scalability and the ability to handle multiple workloads of several parallel ETL jobs could use improvement, and certain parallel threads should be added along with the ability to configure multiple jobs from the same data directory structure.
Vivek Trivedi - PeerSpot reviewer
Has robust data governance capabilities and efficient financial alerting features
The platform's robust data governance capabilities ensure strong compliance with regulatory standards. Our dedicated data governance team is responsible for setting policies and monitoring data access and usage. Additionally, we have a Data Protection Officer (DPO) and an independent InfoSec team that work together to enforce these policies. This multi-layered approach ensures that data governance is effectively managed and compliant with all necessary regulations. It is integrated with SQL and Power BI servers for executive management dashboard reporting. This integration supports comprehensive data analysis and reporting needs, which was a key factor in our decision. The value of using vCenter lies in its comprehensive data infrastructure management. It significantly enhances our reporting, day-to-day decision-making, and analytics capabilities. Integrating SaaS with vCenter adds value by streamlining key functions and improving overall organizational efficiency. The solution can be considered expensive, particularly due to infrastructure, maintenance, and ownership costs. The long-term savings and efficiencies gained from using vCenter can justify the investment for large organizations. However, the high costs might not be justifiable for smaller organizations with less data and fewer resources. Conducting a thorough cost-benefit analysis based on the organization's specific needs and scale is recommended. I rate it an eight.
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Comparison Review

it_user99375 - PeerSpot reviewer
Mar 31, 2014
Oracle GoldenGate vs. Oracle Active Dataguard
As an Oracle DBA, while working upon high availability of your database you may stumble upon various Oracle strategic capabilities that fall into categories of Oracle Replication. Oracle provides various technologies for replication like GoldenGate, streams, and Active Dataguard. Replication…
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Government
9%
Computer Software Company
9%
Manufacturing Company
7%
Financial Services Firm
28%
Computer Software Company
9%
Government
9%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise12
Large Enterprise43
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise7
 

Questions from the Community

What's the difference between Oracle Integration Cloud Service and Oracle Data Integrator (ODI)?
Oracle Integration Cloud Service has a fairly easy initial setup, and Oracle offers initial support and guidance for those who might find the setup to be challenging. There are complications that c...
What do you like most about Oracle Data Integrator (ODI)?
In comparison with other products of the same range, licensing mode is really attractive, no need to license according technology/topology to be used and an incredible Versatility to build any Data...
What is your experience regarding pricing and costs for Oracle Data Integrator (ODI)?
If I use the whole Oracle system, it can be cost-effective. ODI is cheaper compared to Informatica PowerCenter ( /products/informatica-powercenter-reviews ) and IBM DataStage. However, for tools li...
What is your experience regarding pricing and costs for SAS Data Management?
From my experience, SAS Data Management is an expensive tool.
What needs improvement with SAS Data Management?
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
What is your primary use case for SAS Data Management?
Some clients and I are using SAS Data Management for data cleansing, data warehousing, and IoT-related activities such as streaming data.
 

Also Known As

ODI
SAS Data Management Platform, Data Management Platform, DataFlux
 

Overview

 

Sample Customers

Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
Find out what your peers are saying about Oracle Data Integrator (ODI) vs. SAS Data Management and other solutions. Updated: August 2025.
866,685 professionals have used our research since 2012.