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About SAP Datasphere

SAP Datasphere is a data management platform from SAP that provides users with access to semantically rich data, integration of new information, and sharing of insights. It combines data access, data integration, and collaborative features so users can effectively utilize their data resources. With SAP Datasphere, organizations can easily connect to various data sources, facilitate data model creation, and share insights across teams. This platform supports real-time analysis and helps unify data landscapes for better decision-making. Key capabilities: data access data integration collaborative tools real-time analysis multidimensional modeling Best for: data analysts and business intelligence teams that need to manage and analyze complex datasets.

SAP Datasphere Details

Vendor
SAP
Year Launched
1972
Location
Dietmar-Hopp-Allee 16, Walldorf, BW 69190, Walldorf, Germany
Deployment
cloud
Training Options
videos
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Dutch, Chinese (Simplified), Japanese, Korean, Russian, Arabic, Turkish, Polish, Swedish, Danish, Norwegian, Finnish
Users
Large enterprises, data analysts, IT departments, and business users.
Industries Served
Retail, Manufacturing, Financial Services, Healthcare, Public Sector, Technology and Telecommunications, Energy and Utilities
Tags
Data Warehouse, SAP Datasphere

SAP Datasphere's In-App Market Place

Does SAP Datasphere have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CNY (¥), INR (₹)

Pros & Cons

  • User-Friendly Interface: Beginner-friendly UI simplifies navigation and usability.
  • Comprehensive Data Integration: Unified platform for data integration, cataloging, modeling, and virtualization.
  • Customizable Models: Flexibility to tailor data models to meet specific business requirements.
  • Data Harmonization: Seamlessly integrates data from various sources while maintaining integrity.
  • Scalable and Enterprise-Ready: Robust for large-scale data management and analytics across enterprises.
  • Complex Setup: Initial setup and integration, especially with legacy systems, can be challenging.
  • Resource-Intensive: Requires significant IT infrastructure and hardware support.
  • Learning Curve: Steep learning curve for users without strong data management expertise.
  • Limited Non-SAP Integration: Best suited for SAP ecosystems; less optimal for non-SAP environments.

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