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SAS Data Management vs Talend Data Integration 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:
 

ROI

Sentiment score
5.8
SAS Data Management improves data accuracy and reliability, aiding cost efficiency and reporting, crucial in the pharmaceutical industry.
Sentiment score
5.9
Talend Data integration streamlines processing, boosts efficiency, saves time, is scalable, user-friendly, improves accuracy, and adds business value.
It has helped us save a lot of time by automating repetitive data processes and reducing manual interventions.
They didn't want to use separate ETL tools for MDM or for TMC and data preparation, which is all included in one package.
 

Customer Service

Sentiment score
7.1
SAS Data Management customer service is generally reliable but mixed, with efficient technical support and room for improvement.
Sentiment score
7.2
Talend users find the customer service responsive and helpful, though complex issues may require Java routines and take longer.
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 support team is responsive when we raise issues, and they usually provide clear guidance or solutions.
The customer support for Talend Data Integration is very good; whenever I raise a ticket in the customer portal, I immediately receive an email, and follow-up communication is prompt.
 

Scalability Issues

Sentiment score
6.8
SAS Data Management is scalable, supporting enterprises globally with adaptable performance, seamless integration, and efficient complex data handling.
Sentiment score
6.9
Talend Data Integration is scalable, effectively managing large data volumes with job parallelization and modular design, rated eight out of ten.
By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.
The scalability of Talend Data Integration is good; if it weren't scalable, it wouldn't be reliable.
 

Stability Issues

Sentiment score
7.2
SAS Data Management is reliable and efficient, with server stability on Linux, but Windows client may require restarts.
Sentiment score
7.2
Talend Data Integration is reliable, stable, and dependable for large data volumes with well-designed deployments and adequate infrastructure.
Once the jobs are properly designed and deployed, they run reliably without major issues.
 

Room For Improvement

SAS Data Management requires improved cost efficiency, flexibility, user interface, cloud capabilities, integration, accessibility, and training resources.
Talend Data Integration requires better debugging tools, technical support, interface user-friendliness, and enhanced cloud connectivity and processing capabilities.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license.
Regarding ETL, Talend Data Integration is great, but concerning real-time data processing, people are not really sure about Talend Data Integration or might not know how it provides such types of flexibilities.
 

Setup Cost

SAS Data Management is expensive but provides high value, with more affordable solutions integrating multiple functions for data management.
<p>Talend Data Integration offers scalable annual pricing, praised for cost-effectiveness but advanced features may increase costs, with strong support.</p>
From my experience, SAS Data Management is an expensive tool.
My experience with Talend Data Integration's pricing, setup cost, and licensing is that it is a bit higher compared to other tools, making it not very affordable.
 

Valuable Features

SAS Data Management provides seamless integration, quality, and governance with a user-friendly interface and robust transformation capabilities.
Talend Data Integration offers extensive connectivity, Java integration, automation, and centralized management, enhancing efficiency and stability in data processes.
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.
By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month.
Flexibility is a key feature I appreciate about Talend Data Integration, especially the integration of Java within it and the ease of integrating with multiple source repositories such as GitHub and Bitbucket.
The best feature of Talend Data Integration is its multiple data DB components; we have almost all the components and also cloud versions, with TMC allowing us to perform data preparation and data stewardship.
 

Categories and Ranking

SAS Data Management
Average Rating
8.6
Reviews Sentiment
6.6
Number of Reviews
18
Ranking in other categories
Data Integration (33rd), Data Quality (12th), Data Governance (25th)
Talend Data Integration
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
8
Ranking in other categories
Cloud Data Integration (19th), Integration Platform as a Service (iPaaS) (14th)
 

Featured Reviews

Vivek Trivedi - PeerSpot reviewer
Has robust data governance capabilities and efficient financial alerting features
The platform's robust data governance capabilities ensure strong compliance with regulatory standards. Our dedicated data governance team is responsible for setting policies and monitoring data access and usage. Additionally, we have a Data Protection Officer (DPO) and an independent InfoSec team that work together to enforce these policies. This multi-layered approach ensures that data governance is effectively managed and compliant with all necessary regulations. It is integrated with SQL and Power BI servers for executive management dashboard reporting. This integration supports comprehensive data analysis and reporting needs, which was a key factor in our decision. The value of using vCenter lies in its comprehensive data infrastructure management. It significantly enhances our reporting, day-to-day decision-making, and analytics capabilities. Integrating SaaS with vCenter adds value by streamlining key functions and improving overall organizational efficiency. The solution can be considered expensive, particularly due to infrastructure, maintenance, and ownership costs. The long-term savings and efficiencies gained from using vCenter can justify the investment for large organizations. However, the high costs might not be justifiable for smaller organizations with less data and fewer resources. Conducting a thorough cost-benefit analysis based on the organization's specific needs and scale is recommended. I rate it an eight.
Mubahir Rashid - PeerSpot reviewer
Offers flexibility and ease of integration while needing improvements in data flow management
I haven't worked with Talend Data Integration on real-time data processing; I have only seen the streaming component, and I think it can accommodate limited streaming, not at the level of larger big data platforms. Regarding ETL, Talend Data Integration is great, but concerning real-time data processing, people are not really sure about Talend Data Integration or might not know how it provides such types of flexibilities. I haven't worked on this aspect in Talend Data Integration, so this is definitely an area where it lacks. To elaborate on one drawback, if I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step. If I need to go back, I will have to use a memory component, or if I need to avoid memory consumption, I will have to read the data from step one again to join it with the third step.
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
Government
10%
Computer Software Company
9%
Manufacturing Company
7%
Financial Services Firm
15%
Computer Software Company
11%
Comms Service Provider
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise8
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise4
 

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?
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?
Some clients and I are using SAS Data Management for data cleansing, data warehousing, and IoT-related activities such as streaming data.
What do you like most about Talend Data integration?
The product's integration with PostgreSQL and Jira has been helpful for us. Its performance is good. However, we do not use it for large data sets.
What is your experience regarding pricing and costs for Talend Data integration?
The product pricing is considered very good, especially compared to other data integration tools in the market.
What needs improvement with Talend Data integration?
I haven't worked with Talend Data Integration on real-time data processing; I have only seen the streaming component, and I think it can accommodate limited streaming, not at the level of larger bi...
 

Also Known As

SAS Data Management Platform, Data Management Platform, DataFlux
Talend Cloud Integration, Talend Integration Cloud, Talend Cloud Remote Engine for AWS
 

Overview

 

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
ACCOR, ADR, L'OREAL, AstraZeneca
Find out what your peers are saying about SAS Data Management vs. Talend Data Integration and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.