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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 speed and satisfaction for non-profits, enhancing analytics and productivity with high ROI and user ratings.
The enterprise subscription offers more benefits, ensuring valuable outcomes.
At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.
We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.
 

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
7.0
Teradata's customer service is praised for professionalism and quick responses, though occasional delays are noted by some users.
They provide callbacks to ensure clarity and resolution of any queries.
The customer support for Teradata has been great.
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 excels in scalability, especially in the cloud, despite some on-premise challenges due to hardware costs.
Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.
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
8.3
Teradata demonstrates excellent stability and reliability, with 99.9% uptime and few issues, except in specific environments like Cognos.
SAS Visual Analytics is stable and manages data effectively without crashing.
The workload management and software maturity provide a reliable system.
I find the stability to be almost a ten out of ten.
 

Room For Improvement

SAS Visual Analytics is complex and costly, with challenges in integration, performance, user-friendliness, and external language support.
Teradata struggles with high costs, scalability, UI updates, compatibility, and lacks advanced analytics, requiring better cloud integration and support.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
If the same thing were available in a web interface, that would be really helpful.
If Teradata could provide a list of certified experts, that would be fantastic.
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 pricing reflects premium value with strong performance, minimal downtime, and flexible cloud-based options, appealing to enterprises.
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.
We spent roughly $295,000 on setup costs.
 

Valuable Features

SAS Visual Analytics excels in data visualization, advanced analytics, and user-friendly interface with rapid processing and seamless integration.
Teradata offers fast, scalable data processing with robust security, intuitive design, and cross-platform compatibility for efficient analytics.
In terms of reporting, it is easy to extract quick reports and provides graphical representations of the data, which is a great feature.
Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.
The first thing that I appreciate about Teradata is its multi-parallel processing. Whatever queries we execute on Teradata, they are blazingly fast, so it offers really fast connectivity.
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 (9th)
Teradata
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
78
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (16th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (11th), Marketing Management (5th), 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 2.9%, down 5.0% compared to last year.
Teradata, on the other hand, focuses on Data Warehouse, holds 11.1% mindshare, down 16.7% since last year.
Data Visualization Market Share Distribution
ProductMarket Share (%)
SAS Visual Analytics2.9%
Tableau Enterprise17.6%
Domo8.2%
Other71.3%
Data Visualization
Data Warehouse Market Share Distribution
ProductMarket Share (%)
Teradata11.1%
Oracle Exadata13.1%
Snowflake11.6%
Other64.2%
Data Warehouse
 

Featured Reviews

Renato Vazamin - PeerSpot reviewer
Single environment for multiple phases saves us time, and has good visualizations
We had that solution installed previously in another solution, Selvaya, but I don't think we used it at the time. We are now using SAS Detect Investigation as a complementary solution, in which we have part of the process, use a gene, SAS collects information and identifies some business situations, and the business guys use Visual Analytics to explore the results of the process. We previously used the FICO platform, but we switched because FICO's pricing was not scalable. Bringing more data or workloads to the platform required a significant investment in order to scale. We needed to change because we have a lot of data to process every day. FICO was also a little more complicated than SAS Visual Analytics.
Kirk Robinson - PeerSpot reviewer
Has improved data quality, optimized reporting processes, and enabled predictive insights across business units
The limitation we encountered was related to speed, prompting us to increase our AWS cloud thresholds and benchmarks on the servers, adding more throughput. We have been testing that, but speed remains one of our key issues. The integration has been awesome because of the platforms and their usage, and usability is great. The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts. If Teradata could provide a list of certified experts, that would be fantastic. I rated Teradata a nine because the main area for improvement is the bandwidth of resources that could assist us in applying to our projects, specifically more certified and expert resources. The market share of Teradata professionals is limited, creating an issue for us.
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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
18%
Government
10%
Computer Software Company
9%
University
8%
Financial Services Firm
25%
Computer Software Company
9%
Manufacturing Company
7%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise8
Large Enterprise19
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise50
 

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,...
 

Also Known As

SAS BI
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)
 

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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