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What is SAP Datasphere?

SAP Datasphere acts as a unified data experience platform within the SAP Business Data Cloud, designed to provide seamless and scalable access to vital business information. It effectively merges data from both SAP and non-SAP sources, promoting a cohesive data environment that enhances the speed and accuracy of decision-making. The platform includes features like data federation, cataloging, semantic modeling, and real-time data integration, which help organizations sustain consistent and contextualized data in both hybrid and cloud environments. Additionally, SAP Datasphere simplifies data management by preserving business context and logic, thereby delivering a comprehensive view of data that fosters innovation and improves business workflows. This integration not only enables businesses to utilize their data more efficiently but also positions them to thrive in a competitive market. As a result, organizations can make informed strategic choices that drive growth and success.

What is Microsoft Fabric?

Integrating all data sources with analytics services into a unified AI-driven platform will revolutionize the way individuals access, manage, and utilize data along with the insights derived from it. With all your data and teams consolidated in one location, collaboration becomes seamless. Develop a centralized lake-centric hub that empowers data engineers to link various data sources and curate them effectively. This approach will reduce data sprawl while enabling the creation of tailored views for diverse user needs. By fostering the advancement of AI models without the need to transfer data, analysis can be accelerated, significantly cutting down the time required for data scientists to produce valuable insights. Tools like Microsoft Teams, Microsoft Excel, and other Microsoft applications can significantly enhance your team's ability to innovate rapidly. Facilitate responsible connections between people and data with a flexible, scalable solution that enhances the control of data stewards, bolstered by its inherent security, compliance, and governance features. This innovative framework encourages collaboration and promotes a culture of data-driven decision-making across the organization.

Media

Media

Integrations Supported

Amazon S3
AnalyticsCreator
Azure AI Foundry Agent Service
Azure Data Lake
Google Analytics
Google Cloud Storage
Microsoft 365
Microsoft Excel
Microsoft Teams
MindBridge
Resco Field Service+
Resco Inspections+
SAP BW/4HANA
SAP Business Data Cloud
SAP Store
STRM
Salesforce
Snowflake
TimeXtender

Integrations Supported

Amazon S3
AnalyticsCreator
Azure AI Foundry Agent Service
Azure Data Lake
Google Analytics
Google Cloud Storage
Microsoft 365
Microsoft Excel
Microsoft Teams
MindBridge
Resco Field Service+
Resco Inspections+
SAP BW/4HANA
SAP Business Data Cloud
SAP Store
STRM
Salesforce
Snowflake
TimeXtender

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$156.334/month/2CU
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAP

Date Founded

1972

Company Location

Germany

Company Website

www.sap.com/products/data-cloud/datasphere.html

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

www.microsoft.com/en-us/microsoft-fabric

Categories and Features

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Categories and Features

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

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