Altair SLC (formerly the WPS industrial analytics platform, acquired by Altair in late 2021) is designed for data science and heavyweight data processing with the languages of SAS and R. Best known for its SAS language compiler, the software includes advanced graphical user interfaces, robust, high-performance data processing and production-ready application frameworks.
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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
Altair SLC
Sigma Computing
Editions & Modules
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No answers on this topic
Offerings
Pricing Offerings
Altair SLC
Sigma
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
Optional
Additional Details
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Community Pulse
Altair SLC
Sigma Computing
Features
Altair SLC
Sigma Computing
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Altair SLC
8.6
Ratings
2% above category average
Sigma Computing
8.9
Ratings
9% above category average
Customizable dashboards
8.60 Ratings
9.20 Ratings
Pixel Perfect reports
00 Ratings
8.80 Ratings
Report Formatting Templates
00 Ratings
8.70 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Altair SLC
8.6
Ratings
8% above category average
Sigma Computing
8.6
Ratings
7% above category average
Drill-down analysis
8.60 Ratings
9.40 Ratings
Formatting capabilities
8.60 Ratings
8.30 Ratings
Integration with R or other statistical packages
8.60 Ratings
7.30 Ratings
Report sharing and collaboration
00 Ratings
9.40 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Altair SLC
8.8
Ratings
4% above category average
Sigma Computing
9.1
Ratings
9% above category average
Publish to Web
8.60 Ratings
9.90 Ratings
Publish to PDF
8.60 Ratings
9.00 Ratings
Report Delivery Scheduling
9.30 Ratings
9.80 Ratings
Report Versioning
00 Ratings
9.90 Ratings
Delivery to Remote Servers
00 Ratings
7.00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
For now coders, I would emphasize them to use drag and drop functionality. Otherwise, WPS Analytics is a robust tool for app development and data visualization that offers multiple languages such as SAS, SQL, R, and Python.
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
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.
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
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.
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.
To better understand the data I work with, I extensively use the data discovery and visualization tools available on my workstations, and I always go for the best. Unfortunately, some other tools does not offer any tutorials for the features, making it difficult and time-consuming to analyze data, mainly after it has been implemented. In addition to videos and articles, WPS Analytics provides comprehensive tutorials for each feature.
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.