SAS Data Management vs Tray.io comparison

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SAS Data Management

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Executive Summary

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

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Cloud Data Integration

August 2026

Helped 909,725 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

5.8

Tray.io boosts efficiency by reducing redundant tasks, saving 40+ hours weekly, and eliminating the need for engineer integration hours.

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.

I have seen a return on investment as the company has been renewing the product for the entire 19 months we have been using it, which indicates that trust is high and they likely see value and advantage in using the system.

Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees

It has even eliminated a position on our team because that person was no longer needed once we started the automations.

reviewer2865237

Applications Analyst at a healthcare company with 1,001-5,000 employees

The ROI is clear, as it eliminates hundreds of engineer hours required to build and maintain custom integration connectors, while empowering client partners to manage complex data ingest self-sufficiently.

For more quotes and insights, download the Tray.io report

Dev Ops Engineer at a outsourcing company with 201-500 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

4.3

Tray.io is user-friendly, reducing support needs; feedback highlights adequate direct support and praised newsletters and updates.

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

I have never used the customer support for Tray.io because the software is very easy to use and we never needed to contact support.

For more quotes and insights, download the Tray.io report

Principal AI and Data Science Engineer at a manufacturing company 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

7.3

Tray.io is scalable and adaptable, but faces challenges with complexity and data handling in high-load scenarios.

No quotes available

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

We were able to deploy it from a small company within Tata with 200 people to what is now a multinational company with 92,000 people globally.

Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees

Our company uses it for handling high-volume data ingestion and integration orchestration between our platform and external ad services.

For more quotes and insights, download the Tray.io report

Dev Ops Engineer at a outsourcing company with 201-500 employees

The benefits of it being no-code or low-code started to pale in comparison to the cost of making everything slightly more complicated.

reviewer2808870

Operations Analyst at a tech vendor with 51-200 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

Tray.io is stable and reliable for workflows, despite setup challenges and memory limitations, enhancing data operations and integrations.

No quotes available

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

In my experience, Tray.io is stable, as we have never experienced issues with it failing or being unavailable.

Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees

The biggest issue we have with Tray.io is that it runs out of memory space and does not process all of our workflows.

reviewer2865237

Applications Analyst at a healthcare company with 1,001-5,000 employees

Tray.io is highly stable for daily scheduled production runs and event-driven webhooks, provided proper error handling, timeout management, and payload validation are built into the workflow steps.

For more quotes and insights, download the Tray.io report

Dev Ops Engineer at a outsourcing company with 201-500 employees

Room For Improvement

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

Tray.io poses challenges for non-technical users with complex workflows, high costs, and limited integration and customization options.

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.

When an automation fails, it usually provides the JSON format, and if Tray.io could include a summary of what the actual error entails, that would be quite beneficial.

reviewer2754390

IT Engineer at a consumer goods company with 51-200 employees

I believe Tray.io can be improved by offering integration with Tableau, which is still not available.

For more quotes and insights, download the Tray.io report

Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees

There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows.

Amrit Dash

Automation Engineer at a educational organization with 11-50 employees

Setup Cost

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

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

No one has complained in the finance department, and it is very rare for Tata Motors to refrain from complaining about pricing.

For more quotes and insights, download the Tray.io report

Principal AI and Data Science Engineer at a manufacturing 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.

Tray.io enhances automation with low-code options, robust tools, vast API connections, and insightful logging for improved workflow efficiency.

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.

The connector SDK is also very nice; it has a large library of pre-built connectors that can connect a lot of proprietary internal tools directly into Tray.io, allowing the developer to build, test, and deploy custom connectors using Node.js and integrate the data directly into Tray.io.

Amrit Dash

Automation Engineer at a educational organization with 11-50 employees

The best features Tray.io offers include the visual workflow builder and HTTP client blocks that enable rapid prototyping and deployment of complex API interactions, including raw HTTP requests, data mappers, and dynamic token generation.

For more quotes and insights, download the Tray.io report

Dev Ops Engineer at a outsourcing company with 201-500 employees

The logging and debugging features in Tray.io have helped us considerably, especially when dealing with APIs that return errors sometimes.

reviewer2808870

Operations Analyst at a tech vendor with 51-200 employees

Categories and Ranking

SAS Data Management

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Integration (27th), Data Quality (8th), Data Governance (23rd)

Tray.io

Average Rating

7.2

Reviews Sentiment

5.4

Number of Reviews

Ranking in other categories

Process Automation (16th), Cloud Data Integration (17th), Low-Code Development Platforms (19th), Integration Platform as a Service (iPaaS) (15th)

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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Amrit Dash

Automation Engineer at a educational organization with 11-50 employees

Automated student enrollments have reduced manual work and now free our team for higher-value support

Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved. There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows. Introducing a more intuitive visual interface similar to what we have in make.com right now would make the platform much more collaborative and easier to work with for any non-technical folks or newly onboarded engineers, allowing them to be briefed faster. Visual debugging is another area where troubleshooting complex nested loops can feel very abstract. Having clearer, more visual step-by-step data tracking during test runs would speed up the development and testing process. The pricing model is geared heavily towards enterprise budgets; offering more flexible mid-market pricing tiers would make it more accessible for a growing organization that wants a small start and scale up gradually. The core platform security is highly robust and easily meets our requirements for SOC 2 and GDPR compliance. However, when utilizing their AI features such as Merlin AI with sensitive student data, we maintain a very cautious approach. While Tray.io provides enterprise-grade governance guardrails and data masking capabilities, our internal compliance policies prevent us from passing any personally identifiable student information directly through AI-driven processors. We trust Tray.io's underlying infrastructure security, but we believe organizations must still enforce strict data filtering protocols on their end to ensure student privacy is maintained. During our evaluation, we tested the AI capabilities in a sandbox environment, primarily using it to generate workflow drafts and natural language prompts from web data schemas. Strength-wise, it is highly capable when it comes to translating simple text descriptions into functional workflow templates. It serves as a great accelerator, helping to map standard files quickly and reducing the initial setup time for basic integrations. For issues, in the case of highly custom APIs or deeply nested data structures, accuracy declines. We noticed occasional misinterpretation of complex schemas, meaning our developers still had to manually review and correct the outputs. It is a highly helpful productivity booster but still requires human oversight for enterprise-grade reliability.

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Construction Company

Outsourcing Company

Comms Service Provider

Construction Company

14%

Comms Service Provider

13%

Outsourcing Company

11%

Healthcare 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	4
Midsize Enterprise	1
Large Enterprise	4

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 Tray.io?

To improve Tray.io, I wish that there was an easier way to download the information of our workflows to have it in some form of an Excel file that explains our workflows that we built, because we h...

What is your primary use case for Tray.io?

My main use case for Tray.io is creating workflows to work with our Zendesk and our other application services. A specific example of a workflow I have set up with Tray.io is that we use our employ...

What advice do you have for others considering Tray.io?

Honestly, I am not sure that we have used anything that really shows how AI helps us with Tray.io at this point. We are still at the basic level of just doing the very basics and have not used any ...

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Product Reports

Download SAS Data Management product report

SAS Data Management

July 2026

Download Tray.io product report

July 2026

Also Known As

SAS Data Management Platform, Data Management Platform, DataFlux

No data available

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

Tray.io is an advanced integration platform that allows seamless connectivity between applications, designed to automate workflows and streamline business processes.

Tray.io provides an extensive library of pre-built connectors and powerful automation tools, making it easy for businesses to boost efficiency. Its drag-and-drop workflow builder enables integration without code, catering to both technical and non-technical users. Being highly customizable and scalable, Tray.io helps companies adapt quickly to changing requirements, ensuring smooth operations and effective data management.

What are the key features of Tray.io?

Visual Workflow Builder: Offers an intuitive drag-and-drop interface for easy workflow creation.
Pre-built Connectors: Extensive library allowing quick integration with popular apps and services.
Customizable Logic: Lets users define conditions and logic that fit their business needs.
Scalability: Supports growing volumes and complex automations smoothly.
Error Handling: Efficiently detects and manages errors within workflows.

What benefits should users look for in reviews?

Improved Efficiency: Automates routine tasks, freeing up resources for strategic activities.
Cost-effectiveness: Reduces operational costs through smart automation.
Flexibility: Adapts to business-specific processes and changes in scale.
Reduced Development Time: Saves time with no-code integrations and pre-built connectors.

Tray.io is utilized across diverse industries such as e-commerce, where it integrates order management systems to provide seamless customer experiences. In marketing, it connects CRM platforms to enhance lead nurturing. In finance, it streamlines data flow between accounting software, improving financial reporting accuracy.

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

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