SAS® Data Engineering
SAS Data Engineering Foundational Offerings
Connectivity. Automation. Governance. Open ecosystem.
Unlock your data's potential and unleash unlimited insights. With our powerful cloud-native tools, you can access, ingest, process and govern your data, achieving better outcomes while democratizing information sharing throughout your business.
| Capabilities Comparison | SAS Data Engineering | Â | SAS Data Engineering Advanced | Â |
|---|---|---|---|---|
| Access any data source or cloud platform | ✓ |  | ✓ |  |
| Ability to deploy & execute models in the data warehouse | ✓ |  | ✓ |  |
| Embedded data quality across the data pipeline | ✓ |  | ✓ |  |
| Single IDE for integrating SAS & Python code | ✓ |  | ✓ |  |
| Powerful low-code flow builder with built-in steps | ✓ |  | ✓ |  |
| Enable CI/CD with GIT integration | ✓ |  | ✓ |  |
| Create your own visual flow with custom steps framework | ✓ |  | ✓ |  |
| Access GitHub repo with community-built custom steps | ✓ |  | ✓ |  |
| Data catalog with complete visibility across data sources, data flows, visualizations & models | ✓ |  | ✓ |  |
| Comprehensive data lineage, from source to destination, plus impact on other analytic assets | ✓ |  | ✓ |  |
| AI-driven data quality suggestions | ✓ |  | ✓ |  |
| 1800+ prebuilt data quality definitions | ✓ |  | ✓ |  |
| Data enrichment through integration with ESRI & Loqate API | ✓ |  | ✓ |  |
| Visualization & reporting | ✓ |  | ✓ |  |
| Integration with Microsoft 365 | ✓ |  | ✓ |  |
| Cloud native | ✓ |  | ✓ |  |
| Business rules management & deployment |  |  | ✓ |  |
| Real-time business rules execution |  |  | ✓ |  |
| Â | Â | Â | Â | Â |
SAS Data Engineering Foundational Offerings
Connectivity. Automation. Governance. Open ecosystem.
Unlock your data's potential and unleash unlimited insights. With our powerful cloud-native tools, you can access, ingest, process and govern your data, achieving better outcomes while democratizing information sharing throughout your business.
Get to know our packaged data engineering offerings
SAS Data Engineering
Build robust data pipelines to ingest, transform, govern and serve the highest-quality data, regardless of size or complexity – on-premises or in the cloud.
SAS Data Engineering includes these key offerings:
- SAS Visual AnalyticsDiscover and explore relationships in data, and share insights.
- SAS Studio AnalystGet easy, self-sufficient access to enterprise and cloud data sources, data quality functions and an extended flow designer.
- SAS Studio EngineerDesign reusable advanced data management flows for provisioning, migration, synchronization or other activities.
- SAS for Microsoft 365Get seamless access to analytical insights by using Microsoft 365 applications alongside SAS Viya.
- SAS Data Hub (formerly SAS Data Explorer)Connect to virtually any data source – cloud, on-premises or hybrid – without complex integration.
- Cloud Data ExchangeEstablish data connections and transfer data securely and efficiently. Cloud Data Exchange for the SAS Viya Platform includes the co-located SAS Data Agent and the remote SAS Data Agent.
- SAS Job Flow SchedulerDesign reusable advanced data management flows for provisioning, migration, synchronization or other activities.
- SAS/CONNECTGive multiple users simultaneous access to SAS files without each user having to use separate remote logins.
- SAS Workload ManagementExtend the power of Kubernetes by optimizing and prioritizing SAS workloads within a Kubernetes cluster.
- SAS Data Governance (formerly SAS Information Governance)Democratize your data, enhance collaboration and facilitate regulatory compliance.
- SAS Data Accelerator (formerly SAS In-Database Technologies)Shorten the time needed for key data quality and analytical processes by performing them within the database. Available for Cloudera Data Platform, Azure Synapse Analytics, Databricks and Teradata.
SAS Data Engineering Advanced
Leverage automated decisioning capabilities with an agile approach to data access, preparation, quality and governance to operationalize the end-to-end data workflow.
SAS Data Engineering Advanced includes this key offering:
Plus all the capabilities found in SAS Data Engineering:
- SAS Visual AnalyticsDiscover and explore relationships in data, and share insights.
- SAS Studio AnalystGet easy, self-sufficient access to enterprise and cloud data sources, data quality functions and an extended flow designer.
- SAS Studio EngineerDesign reusable advanced data management flows for provisioning, migration, synchronization or other activities.
- SAS for Wܬt Microsoft 365Get seamless access to analytical insights by using Microsoft 365 applications alongside SAS Viya.
- SAS Data Hub (formerly SAS Data Explorer)Connect to virtually any data source – cloud, on-premises or hybrid – without complex integration.
- Cloud Data ExchangeEstablish data connections and transfer data securely and efficiently. Cloud Data Exchange for the SAS Viya Platform includes the co-located SAS Data Agent and the remote SAS Data Agent.
- SAS Job Flow SchedulerDesign reusable advanced data management flows for provisioning, migration, synchronization or other activities.
- SAS/CONNECTGive multiple users simultaneous access to SAS files without each user having to use separate remote logins.
- SAS Workload ManagementExtend the power of Kubernetes by optimizing and prioritizing SAS workloads within a Kubernetes cluster.
- SAS Data Governance (formerly SAS Information Governance)Democratize your data, enhance collaboration and facilitate regulatory compliance.
- SAS Data Accelerator (formerly SAS In-Database Technologies)Shorten the time needed for key data quality and analytical processes by performing them within the database. Available for Cloudera Data Platform, Azure Synapse Analytics, Databricks and Teradata.