Dagster Labs vs SAS Data Management comparison

Dagster Labs and SAS are both solutions in the Data Integration category. Dagster Labs is ranked #54 with an average rating of 7.8, while SAS is ranked #27 with an average rating of 10.0. Dagster Labs holds a 0.0% mindshare in DI, compared to SAS’s 1.2% mindshare. Additionally, 100% of Dagster Labs users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.

Dagster Labs

Read 4 Dagster Labs reviews

1,499 Views
15 Comparison Views

100% willing to recommend

SAS Data Management

Read 19 SAS Data Management reviews

4,656 Views
2,607 Comparison Views

88% willing to recommend

Dagster Labs

SAS Data Management

Comparison Buyer's Guide

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Executive Summary

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

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To learn more, read our detailed Data Integration Report (Updated: June 2026).

Buyer's Guide

Data Integration

June 2026

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Helped 902,894 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

Dagster Labs

Ranking in Data Integration

54th

Average Rating

7.8

Reviews Sentiment

4.0

Number of Reviews

Ranking in other categories

No ranking in other categories

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 (6th), Data Governance (24th)

Mindshare comparison

As of July 2026, in the Data Integration category, the mindshare of Dagster Labs is 0.0%. The mindshare of SAS Data Management is 1.2%, up from 0.9% 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%
Dagster Labs	0.0%
Other	98.8%

Data Integration

Featured Reviews

reviewer2858760

Analytics Engineer at a retailer with 1,001-5,000 employees

Pipeline monitoring has improved and visual lineage now provides trusted, anomaly-aware data

There are many ways Dagster Labs can be improved. I believe the UI is very slow and it prevents loading state. Regarding needed improvements, I think there should be very good support available for migration if someone is migrating from a legacy system to Dagster Labs. Maybe that support needs to be better in a way that there should be customer service available for it, with more documentation or GitHub documentation that details what you should do and should not do, including do's and don'ts and how it will be beneficial or not beneficial. Something approach may be helpful during migration.

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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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Quotes from Members

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

Pros

"As a product, it is one of the best I have had the pleasure to work with."

"Dagster Labs has positively impacted my organization because whenever there is a change in the data, it becomes easy for me to schedule the job, run the changes, and make changes to be imported to the slowly changing dimension tables."

"Dagster Labs has provided a good sense of the data pipeline I have been using, and I have started to trust it even more because I have full confidence in whether it has been updated correctly and if it has failed."

"Dagster Labs has positively impacted our organization by making it much easier to create data pipelines, helping us create new use cases, and allowing us to transform all of the data we have into features, which Dagster Labs has greatly assisted with."

"The technical support is excellent."

"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."

"I am impressed with the tool's ability to customize."

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

"I find the solution to be very stable."

"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."

"Reliable data plus less human intervention and less error have made a significant difference."

More SAS Data Management pros

Cons

"There are many ways Dagster Labs can be improved. I believe the UI is very slow and it prevents loading state."

"Dagster Labs is currently providing a Dagster University course, but those offerings are somewhat high-level."

"Additionally, the billing for Dagster Labs Cloud Plus is somewhat restrictive regarding the number of seats, which often pushes users towards the enterprise plan."

"The solution is very expensive."

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

"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."

"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."

"The solution is quite expensive and hard to install/configure."

"Customer Service: When DataFlux was a standalone company, the customer service deserved an A+ rating. Now that it is a wholly owned subsidiary of SAS, and just one piece of a giant software conglomerate, I would give them a C+."

"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."

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

More SAS Data Management cons

Pricing and Cost Advice

Information not available

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

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

"The solution is expensive."

"The tool is a bit expensive."

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Top Industries

By visitors reading reviews

Construction Company

30%

Comms Service Provider

Financial Services Firm

Retailer

Financial Services Firm

17%

Comms Service Provider

Construction Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

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What is your experience regarding pricing and costs for SAS Data Management?

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

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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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Product Reports

Buyer's Guide

Data Integration

June 2026

Download Dagster Labs product report

Buyer's Guide

SAS Data Management

June 2026

Download SAS Data Management product report

Also Known As

No data available

SAS Data Management Platform, Data Management Platform, DataFlux

Overview

Dagster Labs empowers data-centric enterprises to build, manage, and orchestrate complex data pipelines with ease. Its flexible architecture supports efficient data processing, enhancing productivity.

Dagster Labs provides a robust platform designed for performance and scalability, catering to developers and data engineers seeking to streamline data workflow management. It integrates seamlessly with modern data tools, facilitating efficient data pipeline execution and monitoring. Users benefit from its modular approach, enabling customization according to specific project requirements.

What are the key features of Dagster Labs?

Composable Workflows: Allows users to build and manage modular data pipelines with ease.
Dynamic Monitoring: Provides real-time insights into pipeline performance and health.
Integration Support: Seamlessly connects with popular tools like Apache Spark and Pandas.
Scalable Architecture: Ensures efficient handling of data processing workloads.
Flexible Design: Enables tailored solutions for specific data engineering needs.

What benefits and ROI should users look for in reviews?

Improved Efficiency: Users experience increased productivity with streamlined workflows.
Cost Savings: Optimized data pipelines reduce operational costs.
Enhanced Collaboration: Facilitates teamwork through shared workflows and tools.
Increased Agility: Quick adaptation to changing data requirements.
Reliable Performance: Consistent and dependable data processing capabilities.

Dagster Labs is particularly beneficial in industries such as finance, healthcare, and e-commerce, where data-driven insights are crucial. It enables financial institutions to process transactions swiftly, aids healthcare organizations in managing patient data securely, and helps e-commerce platforms optimize customer engagement through data analysis.

Dagster Labs

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

Sample Customers

Information Not Available

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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