SAS Data Management vs Striim comparison

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SAS Data Management

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Executive Summary

We performed a comparison between SAS Data Management and Striim based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed SAS Data Management vs. Striim Report (Updated: September 2026).

SAS Data Management vs. Striim

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Helped 915,341 peers since 2012

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

6.1

SAS Data Management enhances ROI by improving data accuracy and reliability while reducing costs, especially for larger organizations.

Sentiment score

7.9

Striim enhances efficiency by reducing data sync time and incidents, saving organizations significant time and operational costs.

Reliable data plus less human intervention and less error result in a strong return on investment.

For more quotes and insights, download the SAS Data Management report

Biostatistician at Lambda Therapeutic Research Ltd.

Striim's continuous pipeline safely processes millions of daily transactions without data loss; my organization had millions of transactions every day and even in real-time, so it was quite good.

Mainframe lead at Infosys

The incidents have disappeared completely since I have been using Striim.

Cloud architect at a tech vendor with 10,001+ employees

Since it is now one to two hours, I would say it has saved employee hours and time.

For more quotes and insights, download the Striim report

Data Engineer

Customer Service

Sentiment score

7.3

SAS Data Management customer service is praised for responsiveness and expertise, but experiences vary by region and complexity.

Sentiment score

6.8

Striim's customer service is praised for prompt, expert assistance, particularly in z/OS architecture and DB2 logs troubleshooting.

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.

Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

For more quotes and insights, download the SAS Data Management report

They are all knowledgeable about what they do.

Data Engineer

The customer support has been excellent, and their engineers actually understand z/OS architecture and DB2 logs.

Mainframe lead at Infosys

When you contact them, they give you a response straight away and help you identify the issue and fix it.

For more quotes and insights, download the Striim report

Technology Specialist Database at a retailer with 10,001+ employees

Scalability Issues

Sentiment score

7.0

SAS Data Management is scalable and adaptable, efficiently handling extensive data and users across various roles and locations.

Sentiment score

7.8

Striim performs well with moderate data volumes, is adaptable, and recommended for hybrid clouds, but enterprise-level scalability is untested.

No quotes available

For more quotes and insights, download the SAS Data Management report

Our licensing was based on the number of cores, so even if we have a high number of events on any given day, our license cost would not go high.

Data Engineer

I would describe the scalability of Striim as very good, as it adapts well.

Cloud architect at a tech vendor with 10,001+ employees

Striim can handle the data volumes effectively, but it can struggle a little bit if the data volume is too high.

For more quotes and insights, download the Striim report

Technology Specialist Database at a retailer with 10,001+ employees

Stability Issues

Sentiment score

7.3

SAS Data Management is stable and efficient, excelling on Linux, though minor issues exist with the Windows client.

Sentiment score

7.9

Users generally find Striim stable with occasional slowdowns and initial synchronization issues, but no major crashes or reliability problems.

No quotes available

For more quotes and insights, download the SAS Data Management report

That problem has been completely resolved with Striim.

Cloud architect at a tech vendor with 10,001+ employees

Striim was very stable.

Data Engineer

In my experience, Striim is mostly stable.

For more quotes and insights, download the Striim report

Mainframe lead at Infosys

Room For Improvement

Users seek cost-effective improvements in installation, integration, analytics, cloud scalability, user interface, documentation, and data sharing capabilities.

Striim needs better performance, especially in batch processing, documentation, user setup, and pricing to satisfy users' needs.

There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

SAS Data Management can be improved in terms of the learning curve.

For more quotes and insights, download the SAS Data Management report

Biostatistician at Lambda Therapeutic Research Ltd.

I believe if Striim could use some part of AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change.

Data Engineer

They could improve the documentation by showing how to configure with different platforms.

Technology Specialist Database at a retailer with 10,001+ employees

The initial schema mapping tool in Striim can have a learning curve when dealing with deeply nested mainframe structures or complex copybooks.

For more quotes and insights, download the Striim report

Mainframe lead at Infosys

Setup Cost

SAS Data Management's robust features lead to high costs, perceived as valuable, yet budget constraints may limit adoption.

Enterprise users find Striim's pricing based on cores and CPU usage costly, but fair for private cloud setups.

From my experience, SAS Data Management is an expensive tool.

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

For more quotes and insights, download the SAS Data Management report

Licensing was a bit more expensive because Striim has to read from Oracle GoldenGate trail files and also integrate them.

Technology Specialist Database at a retailer with 10,001+ employees

My experience with the pricing, implementation cost, and licensing of Striim is that it is somewhat expensive.

Cloud architect at a tech vendor with 10,001+ employees

It's very fair.

For more quotes and insights, download the Striim report

Data Engineer

Valuable Features

SAS Data Management provides reliable interfaces, robust governance, analytics, and security, making it ideal for diverse industries and users.

Striim enhances business analytics with real-time data streaming, ease of use, and efficient synchronization, reducing load and overhead.

SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.

SantoshTiwari

Associate Director at Woodpecker Analytics & Services

The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.

Fernanda Knopki

Data Scientist & Scrum Master at Volvo Group

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform.

For more quotes and insights, download the SAS Data Management report

Biostatistician at Lambda Therapeutic Research Ltd.

Striim is capable of absorbing a large number of transactions, and the difference between the two databases is always less than a second, which demonstrates efficiency.

Cloud architect at a tech vendor with 10,001+ employees

The best feature that Striim offers in my experience is the dedicated IBM DB2 for z/OS connectors, which I really appreciated because it reads database logs directly, meaning we do not have to write custom extraction programs or alter existing application codes.

Mainframe lead at Infosys

It reduces manual intervention because it automatically syncs the data from the warehouse.

For more quotes and insights, download the Striim report

Technology Specialist Database at a retailer with 10,001+ employees

Categories and Ranking

SAS Data Management

Ranking in Data Integration

26th

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Quality (8th), Data Governance (22nd)

Striim

Ranking in Data Integration

44th

Average Rating

7.8

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Integration (23rd), Streaming Analytics (20th)

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of SAS Data Management is 1.2%, up from 0.9% compared to the previous year. The mindshare of Striim is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
SAS Data Management	1.2%
Striim	0.6%
Other	98.2%

Data Integration

Featured Reviews

Data management has ensured compliant clinical trial datasets and supports reliable analysis

Biostatistician at Lambda Therapeutic Research Ltd.

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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Real-time data capture has accelerated releases and now improves trust in our data warehouse

Data Engineer

The checkpoints would help me to figure out where the problem was if there's any lag, but I had to do a lot of manual work to figure out where the lag is. Striim would not intuitively tell me the culprit table or database behind the lag. I believe that is an improvement Striim could definitely do. Passwords were an issue. Property variables were not supported for passwords, meaning I had to make sure the password is manually populated. I believe if Striim could read from AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change. The user experience of triggering alerts if there's any lag which Striim identified, which is outside normal processing time, could intrinsically be done by Striim. I believe that was lacking. I would wait for Striim to tell me, instead of me going and validating whether Striim is lagging behind. If Striim could itself tell me that it's seeing a lot more volume than expected, that would really make me give it a higher number.

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Top Industries

By visitors reading reviews

Outsourcing Company

13%

Financial Services Firm

12%

Comms Service Provider

11%

Construction Company

Retailer

16%

Construction Company

13%

Healthcare Company

12%

Financial Services Firm

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	8

No data available

Questions from the Community

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...

What is your experience regarding pricing and costs for Striim?

It's very fair. We had a private cloud, and it's not based on the number of events. It was based on the number of cores and CPU cores.

What needs improvement with Striim?

What is your primary use case for Striim?

We were using batch data from an Oracle database, which was causing the Oracle database to slow down. We enabled change data capture and used Striim to read data from Oracle databases and ingest in...

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Product Reports

SAS Data Management

Download SAS Data Management product report

Download Striim product report

Also Known As

SAS Data Management Platform, Data Management Platform, DataFlux

Striim Platform

Overview

SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.

SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.

What are the key features of SAS Data Management?

User-friendly interface: Intuitive navigation facilitates ease of use.
Easy data flow creation: Streamlines processes for seamless data management.
Scheduling and ETL control: Automates tasks for increased efficiency.
Data integration: Connects datasets from multiple origins.
Metadata management: Ensures consistency and quality of data.
Data governance: Provides tools for managing data compliance.
Robust reporting: Delivers comprehensive insights through detailed reports.

What benefits and ROI should be considered?

Data standardization: Enhances data predictability and usability.
Data quality management: Improves accuracy and integrity.
Flexible language: Adapts to specific user requirements.
Import/export capabilities: Facilitates seamless data transitions.
Support for diverse users: Offers tools suitable for varied skill levels.
Automation features: Saves time by reducing manual processes.

SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.

SAS

Striim offers a comprehensive platform for real-time data integration and streaming analytics, designed to streamline data processes for enterprise-level solutions.

Striim enables seamless migration and integration of data across cloud and on-premises environments, making it ideal for businesses looking to leverage real-time analytics. Its capabilities support continuous data flow, reducing latency and enhancing decision-making. Designed for scalable and secure data management, Striim facilitates effective data-driven strategies.

What are some key features of Striim?

Continuous Data Ingestion: Collects and processes real-time data streams promptly.
Data Integration: Combines data from different sources for unified insights.
Real-Time Analytics: Supports instant analytics, allowing fast response to changes.
Scalable Architecture: Adapts to large-scale data environments efficiently.

What benefits should users look for in Striim reviews?

Improved Data Accuracy: Ensures data integrity in analytics.
Enhanced Operational Efficiency: Streamlined processes for faster data handling.
Cost-Effective Integration: Reduces expenses associated with traditional data handling.
Flexible Deployment Options: Allows for tailored solutions fitting specific needs.

In industries like finance, Striim supports real-time fraud detection by providing uninterrupted data streaming between transaction systems. In healthcare, it enables rapid data processing for patient monitoring, improving service delivery. Manufacturing uses Striim to enhance supply chain visibility through real-time data analytics.

Sample Customers

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

Sky, UPS, MACY'S, EMAAR, HSBC

SAS Data Management vs. Striim