

SAS Data Management and Segment are competing products in the data management category. Segment has an edge with its comprehensive feature set, making it attractive for organizations focused on customer data management and analytics.
Features: SAS Data Management offers data integration, quality management, and data governance, which are crucial for enterprises dealing with complex data systems. Segment is noted for streamlining customer data acquisition across diverse platforms and providing a centralized data analytics solution. Segment's structure enhances customer engagement, focusing on efficient data infrastructure management.
Ease of Deployment and Customer Service: SAS Data Management supports large organizations with its extensive deployment model, often requiring a more detailed setup process. Its service structure is more involved, offering robust support. Segment leverages a flexible cloud-based deployment that simplifies implementation, making it ideal for businesses that require quick onboarding. Its customer service model highlights efficiency and speed, suitable for companies looking for fast deployment.
Pricing and ROI: SAS Data Management may involve higher initial costs but offers a customizable framework that can lead to significant long-term returns for data-intensive businesses. Segment's pricing corresponds with its streamlined offerings, facilitating quick returns on investment due to reduced setup complexities. Its cost-benefit is particularly prominent for startups and small to medium businesses prioritizing speed and flexibility, while SAS represents a strategic choice for firms requiring in-depth data insights and governance capabilities.
Reliable data plus less human intervention and less error result in a strong return on investment.
Engineering effort related to data integration and tracking maintenance decreased by roughly 40 to 50%.
It's hard to quantify exactly the hours spent, but from that abandoned basket flow, it was something around seven million DKK that has been made since we launched it.
This also helped us save around 40,000 US dollars across all different personnel in cost per project.
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.
Segment's customer support is amazing.
At our initial phase, whenever I required any help related to the setup, I contacted them and they provided me with the solution in very little time.
I received my reply from Segment support team within 24 hours.
As our user base, event volumes, and number of integrations increased over time, Segment was able to handle the additional load without requiring any major architectural changes from our side.
It's fully capable of handling all of the different use cases that we have in our company and we have a very complicated company.
I have not experienced any critical outages directly impacting our business operations.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
SAS Data Management can be improved in terms of the learning curve.
More flexibility in pricing models or clear scaling options would make it easier for mid-sized companies to expand usage without significant budget concerns.
These video tutorials would really illustrate how to use the tool to its full potential.
A standardized SOP would help us create our own integrations to newly created destinations.
From my experience, SAS Data Management is an expensive tool.
I know that we're very happy with the pricing so far.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
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.
SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform.
I think predictive audiences require a 360 view of the customer in order to create these types of AI audiences because they use a lot of different data points.
Segment has improved our data quality and our ease of collection, and most importantly, it has saved us time by not having to maintain a custom tool for server-side tracking.
Segment has positively impacted my organization by reducing implementation time to one-third of what it previously took.
| Product | Mindshare (%) |
|---|---|
| Segment | 0.7% |
| SAS Data Management | 1.6% |
| Other | 97.7% |


| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 1 |
| Large Enterprise | 3 |
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?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.
Segment offers dynamic audience-building and precise tracking, enhancing marketing efficiency and simplifying data management for businesses. It integrates well with analytics services, promoting effective customer insights and personalized campaign executions.
Segment provides businesses with sophisticated tools that streamline workflows and improve campaign efficiency. With user-friendly implementation, it significantly enhances marketing outcomes by simplifying data management through seamless integration with analytics services. Its unified profile system facilitates comprehensive customer insights, while reducing integration efforts via built-in links to diverse data sources. Businesses benefit from highly accurate website tracking and powerful predictive audience tools, ensuring that their marketing strategies effectively target main audiences and achieve better personalization.
What are the key features of Segment?Industries leverage Segment for its ability to serve as a central data hub, effectively managing CRM integrations and audience targeting. Companies utilize it to connect databases for tracking and analyzing server-side user actions. Retail businesses employ it for journey building and cart abandonment tracking, while tech firms optimize sales funnels through strategic data management, leading to more effective lead qualification and conversion processes.
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