SAS Data Management vs SnapLogic comparison

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SAS Data Management

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Executive SummaryUpdated on Dec 19, 2024

SAS Data Management and SnapLogic are strong competitors in the data integration space. SAS is favored for its enterprise-level data analysis and management capabilities, while SnapLogic stands out for its user-friendly interface and rapid deployment features, making it more appealing for environments requiring faster implementations.

Features: SAS Data Management provides extensive ETL, data quality, and integration capabilities, offering a unified view of enterprise data through its MDM component. Users find its analytics robust and flexible. SnapLogic is a low-code platform that simplifies complex integrations with snaps, allowing visual integration building. It supports rapid deployment in hybrid cloud environments and offers efficient high-volume data transfers.

Room for Improvement: SAS Data Management is criticized for its high cost and complexity, particularly for non-ETL tasks. Licensing is often viewed as inflexible, and users seek better connectivity and streamlined processes. SnapLogic is seen as less customizable for complex scenarios. Users desire improvements in stability, error debugging, and more pre-built integration options for enhanced API management.

Ease of Deployment and Customer Service: SAS operates mostly on-premises, which users find cumbersome compared to SnapLogic's flexible hybrid and public cloud deployment options. While SnapLogic is recognized for its ease of use, both platforms have mixed reviews on customer service. SAS support is considered diligent, with room for improvement, while SnapLogic users seek deeper technical support for complex issues.

Pricing and ROI: SAS Data Management is seen as costly, potentially limiting for smaller businesses despite its value in regulated industries. It delivers substantial ROI. SnapLogic, while also expensive, offers consumption-based pricing, appealing for cost-sensitive projects. Users appreciate its impact on reduced development times and integration efficiency, leading to considerable ROI.

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

SAS Data Management vs. SnapLogic

August 2026

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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

6.5

SnapLogic optimizes operational efficiency by reducing costs, automating processes, and improving productivity with a low-code platform.

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.

SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.

SameerShaikh

Technical Specialist App Development at Birlasoft IndiaLtd.

The reports and pipelines run, leading to cost savings that reduce manual effort and save 50,000 to 150,000 USD annually.

Sella Kumar

Product Manager at a university with 501-1,000 employees

Suppose there was an issue resolution time of 10 hours for the previous manual effort; now it is reduced to one hour or half an hour.

For more quotes and insights, download the SnapLogic report

Integration Consultant at a consultancy with 1,001-5,000 employees

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

6.9

SnapLogic customer service is generally positive, praised for responsiveness and resolution, though expertise and response times vary.

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

The responsiveness, technical expertise, knowledge base and documentation, support channels, and continuous improvement were impeccable.

Sella Kumar

Product Manager at a university with 501-1,000 employees

They are providing the best customer support to the organization and the vendors.

For more quotes and insights, download the SnapLogic report

Integration Consultant at a consultancy with 1,001-5,000 employees

I have been very impressed with how responsive they are and how well they take feedback and they value my team's experience.

Snbooth Booth

Senior Software Engineer at Cooperative Benefits Group

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

7.3

SnapLogic offers scalable and adaptable integration solutions, supporting multi-cloud and on-premise environments, suitable for growing enterprises.

No quotes available

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

After implementing SnapLogic, pipelines that processed one to two million records per week can now handle five to 10 million records without additional infrastructure.

Sella Kumar

Product Manager at a university with 501-1,000 employees

That means you can connect any system or application anytime, whether day or night, scheduled or dynamic, and anywhere, whether it is cloud or on-premises.

Integration Solution Architect at Hitachi Digital

It supports enterprise-wide integration and has a cloud-native architecture.

For more quotes and insights, download the SnapLogic report

Integration Consultant at a consultancy with 1,001-5,000 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

7.5

SnapLogic is stable and effective with minimal downtime, though some prefer Boomi for better stability during specific updates.

No quotes available

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

I would rate the stability of SnapLogic as nearly ten out of ten.

VinethSuresh

Senior Data Analyst at a pharma/biotech company with 10,001+ employees

But recently, in a year, I haven't found many performance issues in SnapLogic.

SameerShaikh

Technical Specialist App Development at Birlasoft IndiaLtd.

However, sometimes we see that SnapLogic is unstable during patch releases or Snap Pack releases.

For more quotes and insights, download the SnapLogic report

Integration Solution Architect at Hitachi Digital

Room For Improvement

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

SnapLogic requires improved data transparency, error handling, integration, APIs, security, and user-friendly interfaces, with enhanced performance and support.

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.

We require a data pipeline that can be read without latency and without any delay.

reviewer2801493

Architect at a transportation company with 1,001-5,000 employees

IP whitelisting is the area that SnapLogic definitely has to improve.

For more quotes and insights, download the SnapLogic report

Integration Solution Architect at Hitachi Digital

If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.

VinethSuresh

Senior Data Analyst at a pharma/biotech company with 10,001+ employees

Setup Cost

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

SnapLogic offers flexible, subscription-based pricing, though perceived costly by some, justified by capabilities and low initial setup costs.

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

I feel SnapLogic is very expensive compared to others.

For more quotes and insights, download the SnapLogic report

Integration Solution Architect at Hitachi Digital

There would be only one point of improvement if the price could be lower.

MusaMongwe

Head of Data Practice at a tech consulting company with 201-500 employees

SnapLogic is positioned at around seven or eight out of ten in terms of pricing.

VinethSuresh

Senior Data Analyst at a pharma/biotech company with 10,001+ employees

Valuable Features

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

SnapLogic excels with its ETL capabilities, user-friendly interface, automation, real-time processing, and robust monitoring for efficient workflows.

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.

I also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.

MusaMongwe

Head of Data Practice at a tech consulting company with 201-500 employees

SnapLogic provides inbuilt Snaplets, such as creating and closing an audit ID, removing duplicates, joining tables, writing to Oracle, files, XML, SF, SMTP connections, and more.

Hemanthreddy Vakiti

Data engineer at a tech vendor with 10,001+ employees

SnapLogic excels in data transformations, monitoring, and observability, providing scalability controls for the pipelines.

reviewer2804886

Senior Data Engineer at a university with 201-500 employees

For more quotes and insights, download the SnapLogic report

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)

SnapLogic

Ranking in Data Integration

10th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Process Automation (7th), API Management (10th), Cloud Data Integration (7th), Integration Platform as a Service (iPaaS) (7th)

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 SnapLogic is 1.3%, down from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
SnapLogic	1.3%
SAS Data Management	1.2%
Other	97.5%

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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Low-code integrations have automated workflows and save time across enterprise applications

Integration Consultant at a consultancy with 1,001-5,000 employees

They can enhance the error handling and debugging part. Troubleshooting complex pipeline failures can be time-consuming. We are spending a lot of time on error handling. More detailed error messages and root cause analysis tools can be added, which will definitely improve the developer experience. In the Ultra real-time integrations, we can monitor the last execution history of only 100 runs. That can be increased, which would be one of the platform improvements that can really be taken. However, they are doing very well because lots of ChatGPTs and AI assistants have been added in the last two years, which makes a very good effect. SnapLogic is the only platform that provides this kind of visibility to the developers. Anyone, even if they have low experience and are starting their IT careers, can directly jump in and learn SnapLogic. The documentation is very easy to learn. Anyone, even a layman, can refer to that documentation and go through its Snap-pack to understand what configuration has to be done to use this Snap-pack. This makes SnapLogic definitely exceptional in the market. You won't find such comprehensive documentation in other iPaaS tools. The draggable packs truly demonstrate its power in usability. Governance and security are also well in place in SnapLogic, but there are areas for improvement. They can add more granular role and permission controls that provide greater flexibility for large enterprises. For example, if you have to provide access to 70 users in one shot, that can be improved. More improvements in policy enforcement capabilities are possible as well. SnapLogic can improve the data lineage part to achieve better end-to-end visibility into data movement. Also, during validation, we can only see up to 2,000 records currently. They can increase that from 2,000 to 20,000. They can put more visibility on costs and resource visibility, with better reporting on platform usage, processing consumption, and cost optimization opportunities.

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Outsourcing Company

Construction Company

Comms Service Provider

Manufacturing Company

13%

Financial Services Firm

10%

Construction Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	7
Large Enterprise	18

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 needs improvement with SnapLogic?

One thing I do not like about SnapLogic is some of the pre-built snap packs. If I want to integrate with a new system, I have to pay to get access to those. There have been a couple of instances of...

What is your primary use case for SnapLogic?

SnapLogic is my primary automation and integration platform that I use daily. A specific example of how I use SnapLogic day-to-day involves a number of different syncs, such as having CRM data from...

What advice do you have for others considering SnapLogic?

My advice to others looking into using SnapLogic is to consider the positive features I have mentioned before, as well as being aware of the downside of having to pay more to unlock more features. ...

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Product Reports

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SAS Data Management

July 2026

Download SnapLogic product report

July 2026

Also Known As

SAS Data Management Platform, Data Management Platform, DataFlux

DataFlow

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

SnapLogic offers a flexible, low-code environment for data integration and automation, utilizing an intuitive drag-and-drop interface with pre-built components to streamline the integration of multiple systems like Salesforce, SAP, and Workday, optimizing workflow automation.

SnapLogic provides robust ETL capabilities and broad connectivity options, enabling custom script implementation. Its visual design supports seamless deployment and efficient error management. Users benefit from automating data flows and enhancing data consistency through API integrations while managing both synchronous and asynchronous processes. However, areas needing improvement include user-friendly integrations, API management, and dashboard functionalities, as well as better transparency and error debugging. There is a call for improved handling of large datasets, enhanced connectivity, and advanced monitoring, DevOps integration, and AI functionalities. Customer support and documentation could be more comprehensive, especially for intricate operations.

What are SnapLogic's key features?

Drag-and-Drop Interface: Simplifies integration with a user-friendly design
Pre-Built Snaps: Offers ready-to-use components for faster setup
Low-Code Environment: Reduces complexity in pipeline creation
Robust ETL Capabilities: Supports efficient data extraction, transformation, and loading
Broad Connectivity: Integrates seamlessly with CRM, ERP, and other platforms

What benefits can users expect?

Increased Efficiency: Streamlines data processes to save time
Enhanced Data Consistency: Automates data flows, boosting accuracy
Workflow Automation: Reduces manual labor and improves process management
Versatile API Handling: Supports diverse API integrations for greater flexibility

In industries like finance, healthcare, and logistics, SnapLogic is extensively implemented for ETL processes, data migration, and automating complex workflows to improve data accuracy and enhance operational efficiency. These capabilities allow organizations to streamline operations and focus on strategic initiatives.

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

Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!