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Census vs SAS Data Management comparison

 

Comparison Buyer's Guide

Executive Summary

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

Census
Ranking in Data Integration
42nd
Average Rating
9.0
Reviews Sentiment
7.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
SAS Data Management
Ranking in Data Integration
26th
Average Rating
8.6
Reviews Sentiment
6.6
Number of Reviews
19
Ranking in other categories
Data Quality (6th), Data Governance (24th)
 

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Census is 0.5%, up from 0.1% compared to the previous year. 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
ProductMindshare (%)
SAS Data Management1.2%
Census0.5%
Other98.3%
Data Integration
 

Featured Reviews

reviewer2784462 - PeerSpot reviewer
Software Engineer at a tech vendor with 10,001+ employees
Data activation has become faster and business teams access consistent customer insights
Census has been very useful to us as a reverse ETL layer. We have reduced engineering efforts, which has translated into tens of thousands of euros per year in avoided development and maintenance costs, faster and more accurate customer activation, and other improvements that we achieved using Census. Census is faster than our previous approach. Census has enabled faster activation of analytic data into CRM and marketing platforms in our case. Another key benefit is the elimination of manual exports and custom integration scripts, consistent customer data across analytical and operational systems. The best feature that Census offers is that it works directly on top of the data warehouse, preserving a single source of truth. Another valuable feature is that Census provides excellent support for CRM, marketing, and customer-facing platforms. Census creates a single source of truth by making the data warehouse the only place where business logic and data definition live and by ensuring that all downstream operational systems are consumers, not owners of data. All customer attributes, metrics, and segments are defined once, directly in the data warehouse, using SQL and existing data models. Census was useful for us because of the fast time to value, as new syncs can be configured and deployed quickly without custom development. It also ensures that data models are clean and well-defined in the data warehouse after we start using Census. Based on delivery metrics and team feedback, the benefit is that the time to activate new use cases was reduced from weeks to days. Engineering effort dedicated to reverse ETL pipelines decreased by sixty to seventy percent. Maintenance overhead for custom integration was almost completely eliminated, and marketing and growth teams accelerated experimentation cycles significantly. From a cost perspective, reduced engineering effort translated into tens of thousands of euros per year in avoided development and maintenance costs, and faster and more accurate customer activation improved campaign effectiveness and business responsiveness.
Namanjbaraiya Baru - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"Based on delivery metrics and team feedback, the benefit is that the time to activate new use cases was reduced from weeks to days, engineering effort dedicated to reverse ETL pipelines decreased by sixty to seventy percent, maintenance overhead for custom integration was almost completely eliminated, and marketing and growth teams accelerated experimentation cycles significantly."
"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."
"If you compare it to SQL, the memory and development times are very quick."
"The monitoring capabilities are very good."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"I am impressed with the tool's ability to customize."
"The platform's robust data governance capabilities ensure strong compliance with regulatory standards."
"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."
"The data integration tools with SAS Data Management were quite good because they allowed me to do all lineage, to manage and see all the variables, find the libraries where the data is, and understand the data in just one tool."
 

Cons

"The areas for improvement are complex transformation logic because it must still be handled upstream in the warehouse, and cost predictability requires attention at high data volumes."
"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."
"Complex, as usual with SAS"
"For the amount of features that we use, the licensing is expensive."
"The solution could use better documentation."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"The stability could be a bit better. It's lacking in this area right now."
 

Pricing and Cost Advice

Information not available
"The tool is a bit expensive."
"The licensing model for vCenter is a perpetual license with yearly payments."
"The solution is expensive."
"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Construction Company
12%
Healthcare Company
10%
Manufacturing Company
9%
Financial Services Firm
18%
Government
7%
Comms Service Provider
7%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise8
 

Questions from the Community

What needs improvement with Census?
Census has been performing very well overall. One area that may need improvement is that sometimes a custom setup is very difficult to configure. This was the case with our Intercom segment setup. ...
What is your primary use case for Census?
Census is a versatile data synchronizing solution that solves a wide range of data management problems for our business. With Census, we were able to reduce the sync time taken to transfer data fro...
What advice do you have for others considering Census?
I would rate Census an eight out of ten according to my experience. I feel it is not quite a ten because sometimes a custom setup is very difficult to configure. This was the case with our Intercom...
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...
 

Also Known As

No data available
SAS Data Management Platform, Data Management Platform, DataFlux
 

Overview

 

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
Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: June 2026.
900,644 professionals have used our research since 2012.