SAS Visual Analytics provides a complete platform for analytics visualization, enabling users to identify patterns and relationships in data that weren't initially evident. Interactive, self-service BI and reporting capabilities are combined with out-of-the-box advanced analytics so everyone can discover insights from any size and type of data, including text.
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Sigma
Score 9.1 out of 10
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Sigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.
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Pricing
SAS Visual Analytics
Sigma Computing
Editions & Modules
SAS Visual Analytics for SAS Cloud
$0
Annual By Users: 5, 10, 20
No answers on this topic
Offerings
Pricing Offerings
SAS Visual Analytics
Sigma
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
SAS Visual Statistics and SAS Office Analytics are also available as add-ons.
Contact us for pricing.
More Pricing Information
Community Pulse
SAS Visual Analytics
Sigma Computing
Features
SAS Visual Analytics
Sigma Computing
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
SAS Visual Analytics
8.3
Ratings
2% above category average
Sigma Computing
8.9
Ratings
9% above category average
Pixel Perfect reports
8.00 Ratings
8.80 Ratings
Customizable dashboards
8.00 Ratings
9.20 Ratings
Report Formatting Templates
9.00 Ratings
8.70 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
SAS Visual Analytics
8.8
Ratings
9% above category average
Sigma Computing
8.6
Ratings
7% above category average
Drill-down analysis
9.00 Ratings
9.40 Ratings
Formatting capabilities
8.00 Ratings
8.30 Ratings
Integration with R or other statistical packages
8.00 Ratings
7.30 Ratings
Report sharing and collaboration
10.00 Ratings
9.40 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
SAS Visual Analytics
9.2
Ratings
10% above category average
Sigma Computing
9.1
Ratings
9% above category average
Publish to Web
9.00 Ratings
9.90 Ratings
Publish to PDF
9.00 Ratings
9.00 Ratings
Report Versioning
9.00 Ratings
9.90 Ratings
Report Delivery Scheduling
10.00 Ratings
9.80 Ratings
Delivery to Remote Servers
9.00 Ratings
7.00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
SAS Business Intelligence is more suited to organizations which are already using SAS as the primary software for their analytics needs. Learning curve is relatively shorter for teams already skilled in BASE SAS. For organizations already working with open source software like Julia and Python, it doesn't make much sense to use SAS BI.
Scenarios where Sigma Computing is well suited: - Data Reporting and Visualisation : It is suitable for dashboards that integrate data from multiple back-office systems - Search and Filtering Capabilities: It provides a robust platform for searching through datasets and visualisations. Scenarios where Sigma Computing is less appropriate: Handling of null values and dynamic table adjustments
SAS BI makes it very easy to create interactive dashboards even for someone who is not from an IT background. For some specific requirements, basic knowledge of SQL is good enough.
A lot of functions have been predefined which makes it very convenient to create dashboards and reports. One doesn't need to be from an IT or a programming background to understand and create dashboards.
It supports other programming languages like R and also has a seamless API integration with various data management platforms.
Viewer level license is quite limited. These users can't download data or even add filters on datasets. Something to keep in mind.
Directly querying the underlying data warehouse will lead to increased usage. Not a big deal on something like Redshift, but your Snowflake consumption will increase, potentially by a lot.
There is no other product that can match SAS. There are some products that can compare to ETL but lack the analytics that SAS has. Others can perform a limited set of analytical procedures but lack the data processing that comes with SAS. Using thin client allows users to access data whenever they have an internet connection.
Because we are very satisfied with the product and would most likely renew because of the services it provides. It is a tool that you bring into your organization and let it change the way you analyze your data, present your data and share you date within the Respective teams
SAS BI is good for creating reports and dashboards and then sharing it with the users. It also has ability to manage access to the reports and dashboards but somehow with most of the world moving to open source languages R, Python and Julia, SAS BI feels to be archaic in terms of feature set and integrations it allow[s]. Also, comparing it with other Business Intelligence tools like Tableau and Microsoft BI, the functionality of SAS BI is very limited and doesn't justify the pricing.
It has a clean and modern interface. However, it is not completely intuitive. I think it would be better and easier to navigate with more Windows style drop down menus and/or tabls. There is a significant learning curve, but that may be due in part to the technical nature of this type of software tool.
When you call tech support, you are immediately routed to a person who can answer your question. Often they can answer on the spot. However, if they cannot, you are given a track number and then followed up with. There have been times when I have had multiple track numbers open and they will actually TRACK YOU DOWN to ensure that your problem has been resolved. Issues do not fall into black holes with SAS. They are also willing to do a WebEx with you to diagnose the problem by seeing your environment, which is always helpful.
They are very friendly and informative. They are quick in resolving our queries and help us understand very minute things as well. They are quick in creating feature tickets based on our custom requirements, and they would also create a bug ticket if there is any discrepancy and get that checked on time.
I have chosen SAS Visual Analytics because one of my colleagues suggests using the software for the same for our work. As earlier, we use to take a lot of time in analyzing the data but after using the SAS Visual Analytics software our work has improved and time has decreased. It's very helpful for us.
I am not an expert in any of these, though from my brief exposure to Looker it felt like a steeper learning curve, more appropriate to companies with dedicated and skilled BI engineers, whereas Sigma (and Tableau, and Looker Studio) offer a quicker and more intuitive interface for smaller companies like ours without dedicated BI resources on staff.
Monitoring health of cloud platform has allowed the company to anticipate issues before they affect customers – Sigma prompted us building a canary monitoring process that provides customer container health.
Customer success has used an activity report to discover customers running runaway processes that they were unaware of, creating an alert to contact the customer and prevent an embarrassing situation.
Customer success uses the activity report to prompt conversations regarding increases or declines in behavior that led to increasing contract limits or addressing churn concerns.