SAS Data Management vs Striim comparison

SAS and Striim are both solutions in the Data Integration category. SAS is ranked #27 with an average rating of 10.0, while Striim is ranked #47 with an average rating of 8.0. SAS holds a 1.2% mindshare in DI, compared to Striim’s 0.6% mindshare. Additionally, 88% of SAS users are willing to recommend the solution, compared to 100% of Striim users who would recommend it.

SAS Data Management

Read 19 SAS Data Management reviews

5,073 Views
2,790 Comparison Views

88% willing to recommend

Striim

Read 2 Striim reviews

1,932 Views
1,198 Comparison Views

100% willing to recommend

SAS Data Management

Striim

Comparison Buyer's Guide

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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: August 2026).

Buyer's Guide

SAS Data Management vs. Striim

August 2026

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Helped 909,153 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:

Categories and Ranking

SAS Data Management

Ranking in Data Integration

27th

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Quality (8th), Data Governance (23rd)

Striim

Ranking in Data Integration

47th

Average Rating

8.0

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Cloud Data Integration (27th), Streaming Analytics (23rd)

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of SAS Data Management is 1.2%, up from 1.0% compared to the previous year. The mindshare of Striim is 0.6%, up from 0.3% 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

Namanjbaraiya Baru

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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Ramakanth Vanga

Data Engineer

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

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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Quotes from Members

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

Pros

"If you compare it to SQL, the memory and development times are very quick."

"The ROI can be very high in terms of improving the reliability and accuracy of data used in forecasting and marketing models (ex: customer data, sales data)."

"DataFlux in my opinion is an excellent high end solution for enterprise wide data management."

"The interface of the solution is great, you don't need to be an experienced analytics person to work with the product, and even new users can do all sorts of modeling on the data."

"The monitoring capabilities are very good."

"There is a huge ROI."

"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."

"I think the product is very stable, I think it's a marvelous product, it is very widely used by many people and I never hear people complain."

More SAS Data Management pros

"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 and highlights the variety of sources and targets I have used."

"We were confidently in a situation to call Snowflake as a single source of truth, and I believe with Striim, we were able to do that because without Striim, the SLA would be much higher, and there would not have been much confidence in Snowflake."

Cons

"Costly. Not great for non-ETL use cases."

"Native SAP integration or more efficient SAP is needed."

"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."

"The pricing of the solution needs to be improved. They need to work to make it more affordable."

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

"The stability could be a bit better. It's lacking in this area right now."

"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."

"Integration and cloud migration are areas where we see potential for improvement."

More SAS Data Management cons

"I think Striim could be improved with better pricing and enhanced documentation."

"The user experience of triggering alerts if there's any lag which Striim identified, which is not normal, could intrinsically be done by Striim."

Pricing and Cost Advice

"The solution is expensive."

"The licensing model for vCenter is a perpetual license with yearly payments."

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

"The tool is a bit expensive."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Construction Company

Outsourcing Company

Comms Service Provider

Construction Company

16%

Healthcare Company

13%

Retailer

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.

See all answers

What needs improvement with SAS Data Management?

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

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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...

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What is your experience regarding pricing and costs for Striim?

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

See all answers

What needs improvement with Striim?

I think Striim could be improved with better pricing and enhanced documentation.

See all answers

What is your primary use case for Striim?

I use Striim to perform change data capture from relational databases to non-relational databases in my organization. I implement CDC with Striim by transferring data from Oracle Database to MongoD...

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Compared 8% of the time

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Compared 7% of the time

Collibra Platform vs SAS Data Management

Compared 5% of the time

Qlik Talend Cloud vs SAS Data Management

Compared 4% of the time

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Compared 14% of the time

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Compared 10% of the time

Oracle GoldenGate vs Striim

Compared 10% of the time

AWS Database Migration Service vs Striim

Compared 10% of the time

Confluent vs Striim

Compared 9% of the time

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Product Reports

Buyer's Guide

SAS Data Management

July 2026

Download SAS Data Management product report

Buyer's Guide

Streaming Analytics

July 2026

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.

Striim

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

Buyer's Guide

SAS Data Management vs. Striim

August 2026

Free Report: SAS Data Management vs. Striim

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