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Ascend.io vs SAS Viya Platform 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

Ascend.io
Ranking in Data Integration
42nd
Average Rating
9.0
Reviews Sentiment
4.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
SAS Viya Platform
Ranking in Data Integration
21st
Average Rating
7.8
Reviews Sentiment
5.0
Number of Reviews
11
Ranking in other categories
Data Quality (6th), Data Governance (11th), Data Management Platforms (DMP) (6th)
 

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of Ascend.io is 0.4%, up from 0.1% compared to the previous year. The mindshare of SAS Viya Platform is 0.4%. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
SAS Viya Platform0.4%
Ascend.io0.4%
Other99.2%
Data Integration
 

Featured Reviews

reviewer2784462 - PeerSpot reviewer
Software Engineer at a tech vendor with 10,001+ employees
Automated data pipelines have transformed complex workloads and now deliver faster, reliable insight
The standout feature is the Data Awareness Engine, in my opinion the intelligent control plane. Unlike traditional orchestrators that run tasks based on schedules or external events, Ascend.io understands the state of the data. If a source file changes or transformation logic is updated, the engine automatically identifies only the impacted data partitions and recalculates exclusively those. This eliminated the need to write complex logic for partial reloads and ensures that downstream data is always consistent with the latest version of the code. Ascend.io impacted my organization positively because it helped me solve my problem by solving our operational maintenance crisis. Previously, every time a Spark job failed, we had to manually intervene to clean up partial data and restart the pipeline. With Ascend.io, infrastructure management and checkpointing are fully automated. It drastically reduced our technical debt, allowing our data engineers to focus on business logic rather than cluster management or writing boilerplate ingestion code. Code reduction eliminated 60% to 70% of custom Spark code. Operational cost saw a 30% reduction in man-hours dedicated to pipeline maintenance and incident management. The meantime to recovery reduced from hours to minutes due to automatic failure tracking. With Ascend.io, you write what you want, not how to do it. It is a declarative approach and reduces code by 80%. This is very important to me. A good feature is the integrated lineage because an instant visualization of data flow across all components is very useful.
KK
Assistant Manager Data Analytics (WFM) at Johari Digital Healthcare Limited
Modern analytics has transformed large data into faster insights and streamlined reporting
There are some areas of improvement I would mention regarding SAS Viya Platform. New users may find it complex initially, as its learning curve can be steep. Understanding CAS and different components is very challenging for a new user. The cost is also quite high; SAS Viya Platform via SaaS can be expensive compared to some open-source or other cloud alternatives. There are also some limitations in Visual Analytics. While it is easy to use, it could be more flexible compared to Power BI or Tableau. These are the main improvement areas where SAS Viya Platform should focus. I would add some additional pointers about needed improvements in SAS Viya Platform. Regarding customer support, it is good, but the response time for complex issues can sometimes be slower than expected. The documentation and learning resources are not very beginner-friendly, making it challenging for beginners to navigate. Regarding integration, it could be smoother with Databricks, Snowflake, and Power BI, but it is more complex than it should be. Since updates are automatic, users are sometimes not fully aware of changes or new features that are being updated, as compared to Power BI, which publishes updates on its website. SAS Viya Platform should work on these aspects.

Quotes from Members

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

Pros

"One of the best features Ascend.io offers is Agentic analytics, which applies Agentic AI within systems to verify and operationalize data products, and it is live, allowing you to build systems and visualizations that turn data and different data sets into production-ready workflows."
"With Ascend.io, infrastructure management and checkpointing are fully automated, drastically reducing our technical debt, allowing our data engineers to focus on business logic rather than cluster management or writing boilerplate ingestion code."
"SAS Viya Platform is a great tool for our data analytics purpose, particularly how data profiling stands out compared to other tools impressed me."
"SAS Viya Platform has positively impacted my organization by saving time compared to when we were using SAS 9.4, as we can now work on two to three projects simultaneously within one hour, which is a significant improvement."
"SAS Viya Platform has positively impacted our organization because we have reduced the lead time for customer response, and we were able to build customer tags and identify customer pain points in much less time, including topic classification in much less time."
"Eliminating the need for separate visualization tools has greatly affected my team's workflow because it is just one integrated tool, one integrated platform."
"SAS Viya Platform has positively impacted my organization, as previously I was using SAS 9.4, and after migrating to SAS Viya Platform, we are able to present the data in useful ways that save our time and give sponsors a new opportunity to look at the data, which is a very good thing."
"In my experience, the best feature of SAS Viya Platform is that it is very quick in doing the analysis, does the job very quickly and very well without any issues, and I was able to do multiple analyses at the same time."
"Using SAS Viya Platform, I saw approximately a thirty to forty percent reduction in data processing time due to CAS in-memory computing, and I also reduced manual reporting efforts by approximately forty to fifty percent through automation and self-service dashboards, which definitely saved resources for my organization."
"SAS Viya Platform has positively impacted our organization by allowing us to make concrete decisions about stock ordering without either underordering or overcommitting financially across a wide range of products."
 

Cons

"Ascend.io can be improved by perhaps expanding its reach beyond small industries to get into big industries or large investment companies and big financial industries, revolutionizing how data plays certain roles in leadership and decision-making."
"Ascend.io can be improved regarding the initial learning curve because for those used to writing pure Spark code, a mindset shift is required to trust the tool's automation."
"Regarding the features, I think what can be improved in SAS Viya Platform is the ease of use and discoverability of certain advanced features, as these capabilities can require additional training or technical guidance to identify the right actions or configurations."
"I think SAS Viya Platform could be improved as it is a little bit limited; for instance, you have to purchase specific features such as charts and quality control, so it is not a full analytics product."
"I would advise others looking into using SAS Viya Platform to go ahead if their budget allows."
"I have one complaint about SAS Viya Platform: it offers so many options in each application that someone new who is not familiar with SAS functionality might have trouble, as the learning curve can be very hard for a new learner."
"The cost is also quite high; SAS Viya Platform via SaaS can be expensive compared to some open-source or other cloud alternatives."
"I rate it a nine because for a fresher, the platform might not be entirely intuitive."
"SAS Viya Platform has a bit of a learning curve. It was not easy to start with."
"On the integration side, the PROC HTTP-based indexing is fragile."
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Top Industries

By visitors reading reviews
Construction Company
37%
Government
9%
Financial Services Firm
7%
Manufacturing Company
7%
Construction Company
23%
Manufacturing Company
12%
Healthcare Company
9%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise10
Large Enterprise9
 

Questions from the Community

What is your experience regarding pricing and costs for Ascend.io?
Our experience has been very positive due to the AWS Marketplace integration. The customer shared this feedback with us. Regarding setup cost, they were remarkably low because Ascend.io is a SaaS p...
What needs improvement with Ascend.io?
Ascend.io can be improved regarding the initial learning curve because for those used to writing pure Spark code, a mindset shift is required to trust the tool's automation. Another area for improv...
What is your primary use case for Ascend.io?
My main use case for Ascend.io is that we have been working with an e-commerce client that was struggling to manage the complexity of their ETL pipelines. The team was spending 80% of their time wr...
What is your experience regarding pricing and costs for SAS Viya Platform?
I am not much aware of the pricing, setup cost, and licensing of SAS Viya Platform because that was handled by the administrator. However, I do not think it is too costly to use. I never did a comp...
What needs improvement with SAS Viya Platform?
I would rate SAS Viya Platform an eight on a scale of one to ten. I chose an eight because it is a great product that we rely on heavily. However, the complexity of licensing and learning curves fo...
What is your primary use case for SAS Viya Platform?
Our main use case for SAS Viya Platform is analytics, particularly predictive analytics to determine demand planning and forecasting of stock. We are also interested in exploring ways we can use it...
 

Overview

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