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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Azure Data Lake Analytics
Score 8.3 out of 10
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Microsoft's Azure Data Lake Analytics is a BI service for processing big data jobs without consideration for infrastructure.
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Pricing
Altair SLC
Azure Data Lake Analytics
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Altair SLC
Azure Data Lake Analytics
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Altair SLC
Azure Data Lake Analytics
Features
Altair SLC
Azure Data Lake Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Altair SLC
8.6
Ratings
2% above category average
Azure Data Lake Analytics
-
Ratings
Customizable dashboards
8.60 Ratings
00 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
Azure Data Lake Analytics
-
Ratings
Drill-down analysis
8.60 Ratings
00 Ratings
Formatting capabilities
8.60 Ratings
00 Ratings
Integration with R or other statistical packages
8.60 Ratings
00 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
Azure Data Lake Analytics
-
Ratings
Publish to Web
8.60 Ratings
00 Ratings
Publish to PDF
8.60 Ratings
00 Ratings
Report Delivery Scheduling
9.30 Ratings
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.
For us we have an enterprise of SQL users at all skill levels, and this product is very SQL friendly and extremely fast in creation of data aggregates and analysis. If you are an Azure storage user, considering using Lake Analytics over top of your blob or any other storage just adds complementary services and functions native to your existing architecture.
There's a bit of bias towards cloud with ADL Analytics. Depending upon a company's infra strategy and investment plans, there are some challenges with migration and integeration.
Not worth the time/effort/money if the organization doesn't have "Volume" of data. Cost effective only when daily loads exceed around 1million.
While training materials are available online, Adoption rate - Yet to pick up.
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.
Azure Data Lake simplifies extensive data analysis. It runs Hadoop, HDInsight, and Data Lakes, and even complex queries run smoothly and quickly. We write queries to transform data and extract insights instead of configuring hardware. It can handle any size job by adjusting the power. Azure's servers, networking, and data entry are fantastic. It provides security and assured data access.
