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IBM App Connect vs SAS Data Management comparison

 

Comparison Buyer's Guide

Executive Summary

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
7.3
IBM App Connect enhances ROI by reducing resource needs and managing complex operations, requiring skilled practitioners for optimal results.
Sentiment score
6.1
SAS Data Management enhances ROI by improving data accuracy and reliability while reducing costs, especially for larger organizations.
IBM App Connect definitely saves significant time, approximately 50 to 60%.
Senior QA Engineer at a tech vendor with 1,001-5,000 employees
Reliable data plus less human intervention and less error result in a strong return on investment.
Biostatistician at Lambda Therapeutic Research Ltd.
 

Customer Service

Sentiment score
6.7
IBM App Connect's 24/7 support offers timely help, though complex issues need escalation and response times could improve.
Sentiment score
7.3
SAS Data Management customer service is praised for responsiveness and expertise, but experiences vary by region and complexity.
When opening a ticket with the global team, problems are resolved promptly and effectively.
Team Leader, Software Development at a manufacturing company with 11-50 employees
The customer support is available 24/7.
Senior QA Engineer at a tech vendor with 1,001-5,000 employees
The technical support from IBM is good.
Developer at a tech vendor with 10,001+ employees
The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
Data Scientist & Scrum Master at Volvo Group
 

Scalability Issues

Sentiment score
7.5
IBM App Connect excels in cloud scalability, notably in Kubernetes, though costs and larger payloads can challenge Hypervisor Edition.
Sentiment score
7.0
SAS Data Management is scalable and adaptable, efficiently handling extensive data and users across various roles and locations.
I would rate the scalability of IBM App Connect as nine out of ten.
Developer at a tech vendor with 10,001+ employees
IBM App Connect demonstrates good scalability.
Team Leader, Software Development at a manufacturing company with 11-50 employees
IBM App Connect is very scalable and a flexible tool.
Senior QA Engineer at a tech vendor with 1,001-5,000 employees
 

Stability Issues

Sentiment score
7.6
IBM App Connect is praised for stability, with issues mostly in complex cases and quick responses to reported problems.
Sentiment score
7.3
SAS Data Management is stable and efficient, excelling on Linux, though minor issues exist with the Windows client.
IBM App Connect occasionally crashes for various reasons, requiring problem-solving intervention.
Team Leader, Software Development at a manufacturing company with 11-50 employees
 

Room For Improvement

IBM App Connect needs improvements in logging, interface, integrations, setup, cost, security, debugging, observability, and reliability.
Users seek cost-effective improvements in installation, integration, analytics, cloud scalability, user interface, documentation, and data sharing capabilities.
Better debugging and observability would help us track any single transaction end-to-end across steps and connectors.
Senior QA Engineer at a tech vendor with 1,001-5,000 employees
Version 13 includes around 200 features with cloud platform compatibility.
Team Leader, Software Development at a manufacturing company with 11-50 employees
I find it particularly good for on-premises and now cloud use.
Developer at a tech vendor with 10,001+ employees
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
Associate Director at Woodpecker Analytics & Services
SAS Data Management can be improved in terms of the learning curve.
Biostatistician at Lambda Therapeutic Research Ltd.
 

Setup Cost

IBM App Connect is costly but valued by enterprises for quality; licensing complexities require expertise and allow for discounts.
SAS Data Management's robust features lead to high costs, perceived as valuable, yet budget constraints may limit adoption.
For insurance companies with simple JDBC connections, the process is straightforward.
Team Leader, Software Development at a manufacturing company with 11-50 employees
From my experience, SAS Data Management is an expensive tool.
Associate Director at Woodpecker Analytics & Services
 

Valuable Features

IBM App Connect offers easy integration with minimal coding, pre-built adapters, security, scalability, rapid deployment, and flexible integration.
SAS Data Management provides reliable interfaces, robust governance, analytics, and security, making it ideal for diverse industries and users.
Overall, 50 to 60% of the time is saved when using IBM App Connect.
Senior QA Engineer at a tech vendor with 1,001-5,000 employees
The transformation capabilities in IBM App Connect are particularly beneficial.
Team Leader, Software Development at a manufacturing company with 11-50 employees
The features I find most valuable are message routing, message transformation, and protocol translation.
Developer at a tech vendor with 10,001+ employees
It is very reliable, very time-saving, and the chances of error are minimal.
Biostatistician at Lambda Therapeutic Research Ltd.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
Associate Director at Woodpecker Analytics & Services
The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool.
Data Scientist & Scrum Master at Volvo Group
 

Categories and Ranking

IBM App Connect
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
26
Ranking in other categories
Cloud Data Integration (18th)
SAS Data Management
Average Rating
8.6
Reviews Sentiment
6.6
Number of Reviews
19
Ranking in other categories
Data Integration (27th), Data Quality (6th), Data Governance (24th)
 

Featured Reviews

Nirav Patel - PeerSpot reviewer
Senior QA Engineer at a tech vendor with 1,001-5,000 employees
Cloud workflows have accelerated integrations and now demand better debugging and DevOps support
IBM App Connect provides many features, but there are several areas for improvement. Better debugging and observability would help us track any single transaction end-to-end across steps and connectors. Features such as a step-by-step line view and one-click download for flow execution would be beneficial. Improved CI/CD pipeline and GitOps experience would be valuable. The team wants flows as code and predictable promotion across development, test, and production environments. Stronger native Git integration, export-import functionalities, and first-class pipeline templates like Jenkins, GitHub, and Azure DevOps would be beneficial. More cloud-native, lightweight runtime options would be very helpful. Connector reliability and consistency need improvement because some connectors feel more mature than others, and version changes can break mapping. Pricing and licensing clarity is important because the licensing is complex and can slow down adoption and planning. Some improvement areas include handling very complex structures that the platform currently does not support. Improvements on the DevOps side, particularly providing templates, would be beneficial. The platform is somewhat expensive and hard to predict in terms of cost. Debugging features need to be provided. For CI/CD, the flows are not truly accurate and need improvement.
Namanjbaraiya Baru - PeerSpot reviewer
Biostatistician at Lambda Therapeutic Research Ltd.
Data management has ensured compliant clinical trial datasets and supports reliable analysis
SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform. The other valuable feature is data cleaning and the compliance that SAS Data Management provides. I can connect SAS Data Management with other SAS applications, as I am using SAS Viya, SAS 9.4, and SAS Enterprise Guide. The data query functionality of SAS Data Management is also very useful. Since I am using SAS Data Management, and SAS Data Management is well trusted by all regulatory authorities, the audit trails and security checks are very good. It is very reliable, very time-saving, and the chances of error are minimal.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
15%
Computer Software Company
8%
Construction Company
6%
Financial Services Firm
17%
Comms Service Provider
8%
Construction Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise4
Large Enterprise21
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise8
 

Questions from the Community

What is your experience regarding pricing and costs for IBM App Connect?
Configuration time varies by implementation. For insurance companies with simple JDBC connections, the process is straightforward. However, companies requiring multiple configurations for ODBC, JDB...
What is your primary use case for IBM App Connect?
IBM App Connect serves as our integration platform, allowing us to connect application systems and data without heavy load or heavy coding. In my current organization, we use the AWS cloud, and IBM...
What advice do you have for others considering IBM App Connect?
We are using the private cloud deployment on AWS. My company purchased IBM App Connect through the AWS Marketplace. IBM App Connect is a very user-friendly tool, and we can very easily integrate wi...
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?
SAS Data Management can be improved in terms of the learning curve.
What is your primary use case for SAS Data Management?
My main use case for using SAS Data Management is data cleaning for my clinical trial data because my data is very large, and I need clean, reliable, and regulatory compliance data. My data comes f...
 

Also Known As

IBM Cast Iron
SAS Data Management Platform, Data Management Platform, DataFlux
 

Overview

 

Sample Customers

United Way of Allegheny County, Saint-Gobain CPS, Ricoh, SunTrust Banks Inc.
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
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902,894 professionals have used our research since 2012.