WPS Analytics
A powerful and versatile software platform for scalable data manipulation and analytics
Access multiple data sources including big data
Processing engine incorporating a built-in SAS language compiler with the flexibility to mix open source languages into a single program
Processing engine incorporating a built-in SAS language compiler with the flexibility to mix open source languages into a single program
Access multiple data sources, including big data
Use standalone or with enterprise management facilities including data access control and model deployment to on-demand APIs
Flexible deployment to link on-premise, mainframe and cloud environments
Use standalone or with enterprise management facilities including data access control and model deployment to on-demand APIs
One unified analytics platform
Build data-focused applications using visual workflows and coding. Data science, ETL, predictive modelling, data mining, algorithm and API development
Workbench
An intuitive user interface for analysts and data scientists with visual workflows, mining, modelling and coding tools for beginners to advanced users. Powered by a high-performance data Processing Engine, the Workbench can be used as a standalone solution on your PC, or connected to a centralised WPS Analytics infrastructure on a server or cloud platform
Hub
Centralised control for data access, model and program deployment and analytics API publishing for on‑demand and real-time scoring
Processing Engine
An ultra-robust, scalable back-end to the WPS Analytics platform that connects to data and runs programs, workflows and models in development and production. With a built-in SAS language compiler the Processing Engine can run applications that mix the languages of SAS, SQL, Python, and R
Jupyter Kernel
Use SAS language in Jupyter Notebook environments
Who uses WPS Analytics?
Data Engineer
"I want a coding tool"
Data Analyst
"I want a coding and workflow tool"
Data Scientist
"I want a data workflow tool"
Data Modeller
"I want a coding and workflow tool"
DevOp
"I need a streamlined toolset"
Access old and new data
WPS Analytics is designed to handle large data volumes and includes data access to all data sources including Hadoop, data warehouses, databases, SAS and WPS datasets, Excel spreadsheets, SPSS, web data, JSON and XML
Flexible deployment
Choose a deployment architecture that fits now, with options to adapt and enhance easily in the future. Desktop, server, mainframe, datacentre, cloud
From basic to advanced in one platform
- Coders can mix the languages of SAS, SQL, Python and R
- Non-coders can use a drag-and-drop workflow
- Coders can extend workflows with code blocks
- Create repeatable ETL and data prep processes
- Interactive modelling tools
- Scorecard building
- Collaboration for sharing workflows between different groups and skill sets
ROI within 12 months*
Maximise your ROI and minimise TCO. With easy implementation and migration, let your data grow with the confidence that costs will remain under control whilst the platform continues to scale
*Approximation based on customer feedback
Free 30‑day trial of WPS Analytics
Have a question?
Try or buy
Standard Edition
Academic Edition
Community Edition