No more typing reviews! Try our Samantha, our new voice AI agent.

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
41st
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
28th
Average Rating
8.6
Reviews Sentiment
6.6
Number of Reviews
18
Ranking in other categories
Data Quality (7th), Data Governance (23rd)
 

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of Census is 0.4%, up from 0.1% compared to the previous year. The mindshare of SAS Data Management is 1.3%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
SAS Data Management1.3%
Census0.4%
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.
FK
Data Scientist & Scrum Master at Volvo Group
Has supported centralized data access and improved governance through unified administration
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. 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. Offering another development environment combining code and predefined objects, where I could just drag and drop to achieve what I needed, although some objects were not too good, but some were effective. The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool. SAS Data Management is very good for data governance; for me, it was the best tool I worked with in data management, although I don't have too much experience with others, and it truly helped a lot.

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."
"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."
"The tool is reliable, quick, and powerful."
"Their software pricing offers the best value for money on the market."
"I am impressed with the tool's ability to customize."
"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."
"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."
"There is a huge ROI."
"National Quality Knoledge Base Matching features QPI (Quality Performance Indicator) analysis approach"
 

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."
"There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"The solution is quite expensive and hard to install/configure."
"Costly. Not great for non-ETL use cases."
"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."
"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."
"Complex, as usual with SAS"
 

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 solution is expensive."
"The licensing model for vCenter is a perpetual license with yearly payments."
"The tool is a bit expensive."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
893,164 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Construction Company
13%
Healthcare Company
11%
Comms Service Provider
7%
Financial Services Firm
20%
Healthcare Company
7%
Government
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
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?
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
What is your primary use case for SAS Data Management?
The main idea for using SAS Data Management was to bring all data inside SAS. I brought the finance area and the sales area in the company that I have worked, along with some market planning data, ...
 

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, Qlik and others in Data Integration. Updated: May 2026.
893,164 professionals have used our research since 2012.