Google Knowledge Catalog vs SAS Viya Platform comparison

Why PeerSpot?

Google and SAS are both solutions in the Data Management Platforms (DMP) category. Google is ranked #19 with an average rating of 5.0, while SAS is ranked #6 with an average rating of 7.8. Additionally, 100% of SAS users are willing to recommend the solution.

Google Knowledge Catalog

Read 1 Google Knowledge Catalog review

1,523 Views
91 Comparison Views

0% willing to recommend

SAS Viya Platform

Read 11 SAS Viya Platform reviews

2,796 Views
559 Comparison Views

100% willing to recommend

Google Knowledge Catalog

SAS Viya Platform

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Executive SummaryUpdated on Jun 3, 2026

SAS Viya Platform and Google Knowledge Catalog compete in data management and analytics. SAS Viya Platform has the upper hand in analytics capabilities, while Google Knowledge Catalog excels in data management and scalability.

Features: SAS Viya Platform is recognized for its comprehensive analytics suite, including advanced statistical functions, diverse machine learning models, and highly intuitive data visualization tools. Google Knowledge Catalog stands out with its innovative system for metadata management, streamlining data discovery and governance, as well as its integrative architecture for seamless data operations.

Ease of Deployment and Customer Service: SAS Viya Platform offers a flexible deployment model that can be tailored to specific business needs. In contrast, Google Knowledge Catalog is cloud-native, facilitating swift deployment and unmatched scalability. When it comes to customer service, SAS Viya prioritizes extensive customer support, while Google focuses on tight integration with its broad ecosystem.

Pricing and ROI: SAS Viya Platform commands a higher investment, which aligns with its vast capabilities in analytics. Google Knowledge Catalog provides competitive pricing, maximizing value through its scalable features and strong integration. The investment in SAS Viya is justified by its robust analytical strengths, whereas Google delivers a compelling ROI with its flexible pricing model and seamless integration.

To learn more, read our detailed Data Management Platforms (DMP) Report (Updated: August 2026).

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Data Management Platforms (DMP)

August 2026

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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

Google Knowledge Catalog

Ranking in Data Governance

33rd

Ranking in Data Management Platforms (DMP)

19th

Average Rating

5.0

Reviews Sentiment

3.6

Number of Reviews

Ranking in other categories

No ranking in other categories

SAS Viya Platform

Ranking in Data Governance

11th

Ranking in Data Management Platforms (DMP)

6th

Average Rating

7.8

Reviews Sentiment

5.0

Number of Reviews

Ranking in other categories

Data Integration (21st), Data Quality (6th)

Featured Reviews

PraveenChatla

Head Of Information at Ericsson

Managing limited lineage across clouds has highlighted missing connectors but has supported basic cataloging

There are no specific areas of Google Dataplex I think could be improved because that is not our priority. To improve or enhance Google Dataplex, I would point out the connections; there is a lack of connections, and the variety of databases are not in a position to connect. I assess the usefulness of Google Dataplex's centralized management layer in simplifying data operations across environments as not there yet because the connections are lacking. If I look at the environments of something such as Ericsson, there are so many environments; to connect to each and every system, they are not there yet.

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Khushal Jdai

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.

Read full review

Quotes from Members

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

Pros

"For Google Cloud data, Google Dataplex's AI-driven data classification has really helped; the out-of-the-box capabilities are good, and they have good classifiers."

"SAS Viya Platform is a great tool for our data analytics purpose, particularly how data profiling stands out compared to other tools impressed me."

"Since starting to work with SAS Viya Platform, the positive impact we have seen includes improvements in distributing data sets for better analytics and machine learning."

"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."

"Many good things stand out about SAS Viya Platform, including that it is a very mature tool, very reliable, and performs very consistently."

"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."

"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."

"SAS Viya Platform brought several positive outcomes to my project: the centralized investigation platform, real-time fraud detection with Kafka streams scored in real time, improved reporting via SAS Visual Analytics, and the ability to scale for larger businesses."

"Eliminating the need for separate visualization tools has greatly affected my team's workflow because it is just one integrated tool, one integrated platform."

More SAS Viya Platform pros

Cons

"I assess the usefulness of Google Dataplex's centralized management layer in simplifying data operations across environments as not there yet because the connections are lacking."

"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."

"It was very difficult to build the required calculations directly on the reporting side, and we sometimes struggled."

"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."

"However, the complexity of licensing and learning curves for users can be challenging."

"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 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."

More SAS Viya Platform cons

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Top Industries

By visitors reading reviews

Media Company

17%

Computer Software Company

17%

Outsourcing Company

16%

Transportation Company

Construction Company

22%

Comms Service Provider

14%

Manufacturing Company

11%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	10
Large Enterprise	9

Questions from the Community

What needs improvement with Google Dataplex?

See all answers

What is your primary use case for Google Dataplex?

My usual use cases for Google Dataplex involve a team specifically managing their data, BCSS, which is a software services group and cloud software services group. They have a lot of data managed i...

See all answers

What advice do you have for others considering Google Dataplex?

Recently, I have been working with Informatica, specifically with IDMS, data quality, and integration systems also of Informatica. Currently, I am not working with it, but I am in the process of ge...

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

Comparisons

Microsoft Purview Data Governance vs Google Knowledge Catalog

Compared 88% of the time

Microsoft Purview Information Protection vs Google Knowledge Catalog

Compared 9% of the time

Alation Data Catalog vs Google Knowledge Catalog

Compared 1% of the time

Collibra Platform vs Google Knowledge Catalog

Compared 1% of the time

More Google Knowledge Catalog Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs SAS Viya Platform

Compared 25% of the time

Palantir Foundry vs SAS Viya Platform

Compared 17% of the time

Microsoft Fabric vs SAS Viya Platform

Compared 14% of the time

SAP Data Services vs SAS Viya Platform

Compared 13% of the time

Databricks vs SAS Viya Platform

Compared 8% of the time

More SAS Viya Platform Competitors

Product Reports

Buyer's Guide

Data Management Platforms (DMP)

August 2026

Download Google Knowledge Catalog product report

Buyer's Guide

SAS Viya Platform

August 2026

Download SAS Viya Platform product report

Also Known As

Google Dataplex

No data available

Overview

Google Knowledge Catalog is a managed service that empowers organizations to efficiently manage and utilize metadata in a centralized manner. It aids in the enhancement of data discovery, governance, and access, ensuring streamlined data operations.

Focused on optimizing metadata management, Google Knowledge Catalog provides robust features for improving data visibility and control. By facilitating connections between different data sources, it supports better data governance and enhances analytical and operational efficiency. This service is designed for businesses looking to enhance their data ecosystems with a mix of sophisticated features aimed at streamlining data management processes.

What are the key features of Google Knowledge Catalog?

Data Discovery: Quickly locate data across platforms with powerful search capabilities.
Metadata Management: Efficiently manage metadata for improved data governance.
Data Lineage Tracking: Understand data flows and transformations across systems.
Secure Access: Implement fine-grained access controls for sensitive data.

What benefits should users look for in reviews?

Increased Efficiency: Faster data retrieval and management processes.
Improved Compliance: Enhanced data governance supporting compliance requirements.
Cost Optimization: Potential reduction in costs associated with data management tasks.
Enhanced Data Insights: Better data quality insights and decision-making capabilities.

Industries such as finance, healthcare, and retail leverage Google Knowledge Catalog to enhance their data management strategies. In finance, it ensures compliance and improves risk management by providing clear data lineage. Healthcare organizations benefit from secure, efficient access to patient data, supporting regulatory compliance and improving care outcomes. Retailers utilize it to optimize inventory and customer data insights, driving better decision-making and personalization strategies. By adopting this service, industry leaders can achieve more targeted data management and unlock new potential across their data ecosystems.

Google

SAS Viya Platform is an advanced data management and analytics tool designed to deliver powerful insights and foster collaboration across teams. It provides flexible and scalable solutions for data analysis, perfect for tech-savvy professionals seeking robust analytics capabilities.

SAS Viya Platform enhances data-driven decisions with its cloud-enabled analytics capabilities. By supporting open-source integration and visual data manipulation, it caters to a diverse range of analytical needs. Its innovative approach to machine learning and AI streamlines operations, helping companies achieve efficient data utilization strategies across departments. Offering robust technical support, it facilitates seamless implementation and rapid adoption, making it ideal for informed analytics exploration.

What are the key features of SAS Viya Platform?

Open Integration: Easily integrates with open-source tools, enhancing adaptability and flexibility.
Scalable Architecture: Designed for easy scalability to accommodate growing data needs.
Machine Learning Capabilities: Offers innovative machine learning tools for enhanced predictive analytics.
Visual Data Exploration: Provides intuitive visual interfaces for comprehensive data analysis.
Robust Security: Ensures data protection with advanced security measures.

What benefits or ROI should users look for in reviews?

Enhanced Efficiency: Increases operational efficiency with streamlined data processes and workflows.
Cost-Effective Scalability: Lowers costs by offering flexible and scalable solutions.
Comprehensive Support: Offers extensive technical support for smooth adoption and use.
Improved Decision-Making: Provides deep insights that inform strategic decisions.
Data-Driven Innovation: Encourages innovative approaches in analytics through powerful tools.

SAS Viya Platform is widely adopted across industries like banking, healthcare, and retail, offering tailored analytics solutions to address industry-specific challenges. In healthcare, for instance, it streamlines patient data insights, while in banking, it optimizes fraud detection processes. In retail, it enhances customer experience analytics, demonstrating its versatile application.

SAS

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August 2026

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