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SAS Visual Analytics vs Teradata 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
6.3
Organizations saw varied ROI from SAS Visual Analytics, noting improved efficiency and financial tracking despite initial cost challenges.
Sentiment score
8.1
Teradata boosts analytics speed over 100%, enhancing customer service and satisfaction, with high ROI and user approval.
The enterprise subscription offers more benefits, ensuring valuable outcomes.
 

Customer Service

Sentiment score
6.8
SAS Visual Analytics customer service is mixed, with praise for technical support but noted gaps in business needs and regional availability.
Sentiment score
7.1
Teradata's customer service is praised for expertise but criticized for delays, with ratings ranging from 6 to 10 out of 10.
They provide callbacks to ensure clarity and resolution of any queries.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
 

Scalability Issues

Sentiment score
7.8
SAS Visual Analytics effectively scales for large datasets and users, though high resource demands and expenses may concern some.
Sentiment score
7.4
Teradata is praised for its scalability, speed, and flexibility, despite some complexity and cost challenges in cloud environments.
This expansion can occur without incurring downtime or taking systems offline.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
 

Stability Issues

Sentiment score
7.1
SAS Visual Analytics is generally reliable but can face performance issues with large data, often due to user practices.
Sentiment score
8.4
Teradata excels in stability with minimal downtime, robust architecture, 99.9% uptime, and reliable performance, despite minor large dataset issues.
SAS Visual Analytics is stable and manages data effectively without crashing.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
 

Room For Improvement

SAS Visual Analytics is complex and costly, with challenges in integration, performance, user-friendliness, and external language support.
Teradata users seek better transaction processing, enhanced scalability, modern interface, cloud focus, advanced analytics, and improved support and documentation.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
 

Setup Cost

SAS Visual Analytics is costly for small enterprises, but offers strong analytics and simplicity, though consulting and scaling add expenses.
Teradata's high cost is justified by its superior performance, competitive total ownership costs, and flexible pricing models.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
 

Valuable Features

SAS Visual Analytics excels in data visualization, advanced analytics, and user-friendly interface with rapid processing and seamless integration.
Teradata offers efficient, scalable data management with fast query performance, robust security, automation, and cloud flexibility for businesses.
The ability to query information from our Excel data into SAS to view specific data is invaluable.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
 

Categories and Ranking

SAS Visual Analytics
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
Data Visualization (6th)
Teradata
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (15th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (6th), Cloud Data Warehouse (4th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. SAS Visual Analytics is designed for Data Visualization and holds a mindshare of 3.5%, down 5.8% compared to last year.
Teradata, on the other hand, focuses on Data Warehouse, holds 15.5% mindshare, up 15.5% since last year.
Data Visualization
Data Warehouse
 

Featured Reviews

Danna Nemeth - PeerSpot reviewer
Provides ease of use and has advanced data visualization capabilities
The initial setup can be complex and depends on the specific environment and licensing. It typically requires some time and effort to configure properly. It can be deployed as a SaaS solution or on-premises. It typically requires an installer and someone knowledgeable in business analytics and data management. Generally, it does not require extensive maintenance, though occasional upkeep might be necessary.
RajeshKumar25 - PeerSpot reviewer
Harnessing advanced parallelism for top performance while embracing cloud trends
Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem Scalability is…
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Comparison Review

it_user232068 - PeerSpot reviewer
Aug 5, 2015
Netezza vs. Teradata
Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…
 

Top Industries

By visitors reading reviews
Financial Services Firm
20%
Government
11%
Computer Software Company
10%
University
8%
Financial Services Firm
26%
Computer Software Company
11%
Manufacturing Company
7%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about SAS Visual Analytics?
The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps w...
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI. It may be that our current subscription does not include AI-enabled features, but I wo...
Comparing Teradata and Oracle Database, which product do you think is better and why?
I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...
Which companies use Teradata and who is it most suitable for?
Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...
Is Teradata a difficult solution to work with?
Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...
 

Comparisons

 

Also Known As

SAS BI
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
 

Overview

 

Sample Customers

Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
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