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Fivetran vs SAS Data Management comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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
6.6
Fivetran offers significant time and cost-saving benefits, simplifying data integration and maintenance while reducing reliance on data engineers.
Sentiment score
5.8
SAS Data Management boosts data accuracy, reduces storage costs, and is vital in banking, finance, and pharmaceutical sectors.
Fivetran provides time savings, cost reductions, and improvements in data quality.
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
 

Customer Service

Sentiment score
6.0
Fivetran customer support is efficient yet sometimes slow, rated 7-9, with calls for improved critical issue communication.
Sentiment score
7.1
Customer service satisfaction with SAS Data Management is high, despite regional differences and limited online resources, thanks to responsive support.
If they could provide support more quickly, that would be great.
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
Customer support from Fivetran is quite good; it's really nice and responsive.
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.
 

Scalability Issues

Sentiment score
7.1
Fivetran scales well for various businesses, accommodating data needs but can be costly and complex for smaller enterprises.
Sentiment score
6.8
SAS Data Management is highly scalable, supporting enterprise tasks with robust servers, comparable to Oracle and Microsoft solutions.
Fivetran's scalability has been tested effectively, and it has been working well for our organization's growing data needs.
 

Stability Issues

Sentiment score
8.0
Users generally express high satisfaction with Fivetran's stable reliability, despite occasional issues with API connections and custom setups.
Sentiment score
7.2
SAS Data Management is highly stable, especially on Linux, but might need client-side configurations for optimal performance.
They have 99.9% accuracy on the data load and they maintain transparency.
In my experience, Fivetran is stable with very few instances of downtime or reliability issues.
During the duration of the time that we used Fivetran, it was highly stable.
 

Room For Improvement

Fivetran needs improvements in connectors, real-time processing, user interface, pricing, support, documentation, and integration capabilities.
SAS Data Management needs improved usability, licensing, integration, cloud features, scalability, stability, and enhanced automated reporting and documentation.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
When we tried to use a built-in Oracle connector, it didn't allow for the tweaks we needed, which led us to the SDK connector route and caused delays in development.
Fivetran could improve by adapting more for technical users and by providing more options for such users.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
 

Setup Cost

Fivetran's pricing is high, favoring larger enterprises with discounts available; smaller companies may find it prohibitive.
SAS Data Management is powerful but costly, with affordability challenges for businesses, though educational trials and market-based pricing options exist.
Our current yearly contract for Fivetran is approximately $70,000.
From my experience, SAS Data Management is an expensive tool.
 

Valuable Features

Fivetran is valued for seamless data replication, user-friendly interface, scalability, and minimal coding, enabling efficient data handling.
SAS Data Management provides user-friendly, comprehensive data handling with strong integration, quality, governance, and flexible connectivity features.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
The real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline.
Fivetran not only has built-in connectors but also provides SDK connectors, allowing us to develop our own connectors in an easy manner.
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 stands out because of its data standardization, transformation, and verification capabilities.
 

Categories and Ranking

Fivetran
Ranking in Data Integration
14th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Data Replication (3rd), Cloud Data Integration (7th)
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 (10th), Data Governance (22nd)
 

Mindshare comparison

As of November 2025, in the Data Integration category, the mindshare of Fivetran is 1.9%, down from 2.1% compared to the previous year. The mindshare of SAS Data Management is 0.9%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Fivetran1.9%
SAS Data Management0.9%
Other97.2%
Data Integration
 

Featured Reviews

Hafiz Usman - PeerSpot reviewer
Has accelerated data integration workflows and supports seamless development of custom connectors
I've worked extensively with Fivetran, mainly used for extraction purposes, and I've worked with the transformation element in it as well. Fivetran not only has built-in connectors but also provides SDK connectors, allowing us to develop our own connectors in an easy manner. I don't have to write raw Python scripts or dumping scripts; it offers straightforward examples and guidelines, making it much simpler to develop custom connectors inside Fivetran. We've been able to develop many custom connectors as well, which is unique and beneficial for having everything centralized instead of having those connectors located elsewhere. One of the best features by Fivetran is its clean, simple, and intuitive UI. It includes a transformation section where I can deploy my DBT queries and scripts. It also supplies good tracking capabilities for billing estimates and user permissions, allowing for customization to the desired level. The number of connectors it has remains a standout feature, and within connectors, the options available are very helpful. Although it sometimes appears static due to its built-in nature, it offers good flexibility for data transformation and caching, which I appreciate because it saves us extensive script-writing time.
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.
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Top Industries

By visitors reading reviews
Computer Software Company
12%
Financial Services Firm
12%
Manufacturing Company
11%
Retailer
6%
Financial Services Firm
31%
Computer Software Company
9%
Government
9%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise7
Large Enterprise16
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise8
 

Questions from the Community

What's the deal with the HVR software acquisition?
As a user of HVR Software I followed this deal closely. Fivetran is apparently trying to establish more in its sector and by buying an already established data replication software, they become som...
Does HVR Software provide reliable insights?
I honestly can't think of another data replication software that can give you better statistics and insight than HVR Software. There's the feature for topology and statistics and both of them can ...
How much traffic can HVR Software handle?
As someone who works at a company where a high volume of information is replicated and has tried several data replication softwares, I can tell you that you're looking at the right one. HVR Softwar...
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

Autodesk, Condé Nast, JetBlue, Morgan Stanley, OpenAI, LVMH, Pfizer, Verizon, SpotifyNational Australia Bank, Saks, Cemex, Okta, Dropbox, Pitney Bowes, World Fuel Services,Lufthansa, AutoZone, ASICS, ASOS, Coupa, Databricks, Hermes, New Relic, Intercom,Canva, Honeywell, Square, DocuSign, Nandos, Oldcastle Infrastructure
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 Fivetran vs. SAS Data Management and other solutions. Updated: November 2025.
872,922 professionals have used our research since 2012.