We performed a comparison between SAS Visual Analytics and Teradata Data Lab based on real PeerSpot user reviews.
Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization."It integrates well with SAS, making it simple and quick for developers."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"The product is stable, reliable, and scalable."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"We've found the product to be stable and reliable."
"It's relatively simple to create basic dashboards and reports."
"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 with quality assurance processes."
"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."
"It has increased the speed of reporting."
"I haven't come across any missing features."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"Colours used on report objects"
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
"The installation process can be a bit complex."
"It is not as mature as competitors such as Tableau and QlikView."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"The initial setup was complex as we had to rewrite a lot of the code."
"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."
"Their level of technical support is adequate. It could be better."
Earn 20 points
SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews while Teradata Data Lab is ranked 31st in BI (Business Intelligence) Tools. SAS Visual Analytics is rated 8.0, while Teradata Data Lab is rated 8.6. The top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". On the other hand, the top reviewer of Teradata Data Lab writes "You can schedule any testing you want to do in production". SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio, whereas Teradata Data Lab is most compared with Teradata Vantage, Databricks, Microsoft Power BI, Tableau and Oracle DataScience.com Platform.
We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
