SAP Datasphere Information Reviews & Insights

Score8.5 out of 10

302 Reviews and Ratings

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#1 most frequent

Manufacturing

33.7%

427 installations of 1,267

“SAP Datasphere is used by the data engineering team for reporting.”
— Specialist Basis Architect, Amgen (10,001+ employees)

#2 most frequent

Professional, Scientific, and Technical Services

19.3%

244 installations of 1,267

#3 most frequent

Information

6.3%

80 installations of 1,267

“Migrated Calculations view to SAP Datasphere Graphical viewa nd also used the data by SAP Datasphere remote tables to create Analytical Models which can be exposed to SAC for Graphs .”
— Solution Architect, IPG (10,001+ employees)

#4 most frequent

Finance and Insurance

6.2%

79 installations of 1,267

#5 most frequent

Utilities

5.6%

71 installations of 1,267

#6 most frequent

Retail Trade

5.0%

63 installations of 1,267

#7 most frequent

Wholesale Trade

3.8%

48 installations of 1,267

#8 most frequent

Public Administration

2.6%

33 installations of 1,267

#9 most frequent

Transportation and Warehousing

2.6%

33 installations of 1,267

#10 most frequent

Administrative and Support and Waste Management and Remediation Services

2.1%

26 installations of 1,267

#11 most frequent

Mining, Quarrying, and Oil and Gas Extraction

1.5%

19 installations of 1,267

#12 most frequent

Construction

1.4%

18 installations of 1,267

“DSP is currently used to replace the existing BW solution we have in our landscape. DSP is powerful and contains most of the BW functions. Integration with SAP tools is seamless in Datasphere.”
— Solution architect, Bosch (10,001+ employees)

#13 most frequent

Health Care and Social Assistance

1.2%

15 installations of 1,267

#14 most frequent

Other Services (except Public Administration)

1.1%

14 installations of 1,267

#15 most frequent

Educational Services

0.9%

11 installations of 1,267

#16 most frequent

Real Estate and Rental and Leasing

0.8%

10 installations of 1,267

#17 most frequent

Agriculture, Forestry, Fishing and Hunting

0.6%

8 installations of 1,267

#18 most frequent

Accommodation and Food Services

0.6%

8 installations of 1,267

#19 most frequent

Arts, Entertainment, and Recreation

0.2%

3 installations of 1,267

Overview

Synthesised from 5 reviews | Last Published May 27, 2026

SAP Datasphere is utilized by Information industry organizations primarily for advanced data modeling, enabling the creation of semantic-rich models essential for business intelligence and analytical reporting. In TrustRadius reviews, it supports information providers in transforming diverse and complex raw data into structured, consumable formats. Its capabilities in migrating existing calculation views and integrating remote tables streamline the consolidation of information assets, which is crucial for maintaining data integrity and accelerating report generation in data-intensive environments. This focus on sophisticated data structuring directly addresses the industry's need for accurate, timely, and accessible information products.

Reviewers highlight the platform's effectiveness in supporting advanced analytics and decision-making processes through its robust data structuring. While specific drawbacks were not detailed in the provided summaries, the emphasis on its core data modeling and integration capabilities suggests a positive sentiment regarding its utility for complex data environments. The platform appears well-suited for organizations focused on delivering structured information products.

Pros

Robust data modeling for complex information assets
Enables creation of semantic-rich models for BI and reporting
Streamlines transformation of diverse raw data into structured formats
Facilitates migration of existing calculation views
Supports consolidation and integration of remote data tables

Describe how you use SAP Datasphere in your organization. What are the business problems the product addresses and what is the scope of your use case?

From 5 reviews | Last Published May 27, 2026

Summary

For Information industry organizations, SAP Datasphere primarily serves as a robust platform for data modeling, enabling the creation of semantic-rich models crucial for business intelligence and analytical reporting. Two of five reviewers highlighted its effectiveness in transforming raw data into structured, consumable formats, a critical capability for information providers who often deal with diverse and complex datasets. The platform’s ability to facilitate the migration of existing calculation views and integrate remote tables suggests a streamlined approach to consolidating information assets, which is vital for maintaining data integrity and accelerating report generation in a data-intensive environment. This focus on sophisticated data structuring directly addresses the industry's need for accurate, timely, and accessible information products, supporting advanced analytics and decision-making processes.

SAP Datasphere Reviews

16 Reviews

InformationComputer Software6Internet1Telecommunications5Information Services3Media Production1

SAP Datasphere

Rating: 5 out of 10

Incentivized

May 18, 2026

Use Cases and Deployment Scope

To ETL out data from SAP (as this is becoming the only way forward)

Pros

Well integrated with the SAP ecosystem

Cons

The pricing makes it prohibitive for many use cases

Likelihood to Recommend

With SAP BDC, you have to use SAP Datasphere and combine multiple SAP sources and build data products.

Verified User

Professional in Product Management (Computer Software company, 1-10 employees)

Vetted Review

2 years of experience

SAP Datasphere

Rating: 7 out of 10

Incentivized

May 13, 2026

Use Cases and Deployment Scope

In our organization, I use SAP Datasphere to test SAP BDC (Business Data Cloud) data products and give access to SAP ERP (Enterprise Resource Planning) data

Pros

integrates well with SAP systems

Cons

the pricing is prohibitive for many customers

Likelihood to Recommend

If asked, I think I am likely to recommend SAP Datasphere to a colleague because, in my experience, with SAP Datasphere, you can combine multiple SAP sources and build data products

Abdelhalim Dadouche

Freelance Consultant in Professional Services at DJZ Consulting (Computer Software, 1-10 employees)

Vetted Review

2 years of experience

Verified on LinkedIn

SAP Datasphere

Rating: 9 out of 10

Incentivized

November 30, 2025

Use Cases and Deployment Scope

In our organization, we use SAP Datasphere To extract and build semantic rich models for business reporting

Pros

Connect to sap products
Easy integration with SAC
Good UI

Cons

Exposing models via OData. Supported Authentication methods

Likelihood to Recommend

If asked, I am likely to recommend SAP Datasphere to a colleague to Build data models for consumption by SAC (SAP Analytics Cloud) - well suited.
Expose data models for other reporting solutions - not suited

Verified User

Director in Information Technology (Information Services company, 1-10 employees)

Vetted Review

5 years of experience

SAP Datasphere

Rating: 9 out of 10

Incentivized

November 13, 2025

Use Cases and Deployment Scope

In my organization, I provide consulting to customers to modernize their analytics landscape and move to SAP Datasphere. SAP Datasphere addresses key business problems related to data fragmentation, management complexity, and the inability to quickly derive valuable insights from diverse data sources. SAP Datasphere includes built-in governance, cataloging, and security features to ensure data accuracy, consistency, and adherence to regulations.

Pros

Data fabric
Data egress
Data modeling

Cons

AI capabilities

Likelihood to Recommend

I am likely to recommend SAP Datasphere to a colleague because of SAP Datasphere's Strong roadmap with SAP BDC and integration with other platforms

Verified User

Director in Professional Services (Computer Software company, 10,001+ employees)

Vetted Review

2 years of experience

SAP Datashpere Review

Rating: 10 out of 10

Incentivized

November 7, 2025

Use Cases and Deployment Scope

Migrated Calculations view to SAP Datasphere Graphical viewa nd also used the data by SAP Datasphere remote tables to create Analytical Models which can be exposed to SAC for Graphs . Also used the SAP Datasphere Analytical Models with SAC Excel-addin for Microsoft excel to create reports.

Pros

Graphical Views
Remote Tables
Replication Flows
SQL Views

Cons

Graphical Views
SQL Views
Replication Flows

Likelihood to Recommend

To combine the data from different sources both SAP and Non SAP and make a meaning full data set to expose the data and create reports for management, Also report SAP BW in future

Verified User

Employee in Information Technology (Media Production company, 10,001+ employees)

Vetted Review

20 years of experience

SAP Datasphere Needs to Be cheaper

Rating: 7 out of 10

Incentivized

November 16, 2023

Use Cases and Deployment Scope

We sell it to customers and implement it.

Pros

User Friendly
Easy Data Integration
Connection to SAP is seamless

Cons

BW migrations via BW Bridge seems to be convoluted and not straight forward
Need a certification program
More capabilities similar to BW4HANA

Likelihood to Recommend

Less appropriate for existing BW customers. Greenfield it is far easier to convince customers. SAP Datasphere with HANA cloud is extremely expensive.

Michael Howell

Analytics Solution Architect at Illumiti a Syntax Company (Computer Software, 501-1000 employees)

Vetted Review

Reseller

13 years of experience

Datasphere review

Rating: 8 out of 10

Incentivized

November 14, 2023

Use Cases and Deployment Scope

We implement SAP Datasphere (DSP) at our clients to be used as the datawarehouse of choice. On top we use SAP Analytics Cloud to build front end reporting. In DSP both SAP and non SAP (Excel /...) sources are combined, transformed, used to create calculations and business logic uppon. DSP is in that case the sole source of truth for our reporitng.

Pros

Data integration
Data exposure to sac
Complex calculations

Cons

Embed non SAP data

Likelihood to Recommend

Creating a new datawarehous eplatform for a recently transformed client to S/4HANA. This by replacing the current setups of for example SAP BW.

Verified User

Consultant in Customer Service (Information Services company, 1001-5000 employees)

Vetted Review

1 year of experience

Data Analysis with SAP Datasphere

Rating: 9 out of 10

Incentivized

October 18, 2023

Use Cases and Deployment Scope

SAP helps me integrate, visualize and process data effectively and efficiently. Data retrieval and analysis using SAP is much easier and more robust comparatively. Also, it is easy to connect and join data at elsewhere and integrate them and/or remove the redundancies more smoothly. The cloud linkage and workflow are the best suite.

Pros

Data from numerous sources, both locally and on the cloud, is simple to integrate.
Simplified and detailed data visualization tools.
simple and rapid development
Integrate previously existing data models.

Cons

High cost and maintainence
There are no free services available, no free demo application use cases which makes the user not have an overview how efficient it is.
Virtual servers are sometimes laggy and slow..

Likelihood to Recommend

SAP is quite good at combining data from several sources. It has the ability to connect to a range of databases, cloud services, and on-premises systems. Before transferring data to other systems for analytics or reporting, we can utilize it to transform and clean the data.
SAP Datasphere is good for large volumes of data; small datasets get the stuff overcomplicated.

Verified User

Team Lead in Engineering (Computer Software company, 201-500 employees)

Vetted Review

1 year of experience

SAP Data Warehouse Cloud Review

Rating: 9 out of 10

Incentivized

March 28, 2022

Use Cases and Deployment Scope

It gives data on a new level of consumption. It is easy and very quick to develop. It has a high-performance and scalable data warehouse. It has excellent and good self-service. It accelerates time to value in real-time. The state art data platform is very easy and simple to use

Pros

It has good and excellent self service
The use of state art data platform is very easy and simple
It is very easy and quick to develop

Cons

It is very costly

Likelihood to Recommend

It has excellent and good self-service. It is very easy and quick to develop. The state art of data is very simple and easy. It reuses existing BW models, customization, and transformations. It analyses all sorts of data. It is very simple to implement due to the built-in data lake.

Dawn Boughter

Senior provisioning billing specialist in Information Technology at Southern California telephone company (Telecommunications, 51-200 employees)

Vetted Review

3 years of experience

Reviews on SAP Data warehouse cloud

Rating: 9 out of 10

Incentivized

March 28, 2022

Use Cases and Deployment Scope

It has no coding to visualize data with SAP Data Warehouse Cloud. It analyses all sorts of data from structured, geospatial to unstructured. It reuses BW models. It has a very simple implementation strategy. It is easy to use due to its self-service capabilities. It collects all data from all ETL services. It has no manual process needed to connect data with business context.

Pros

Access data to both cloud and on premise data sources
Do not require to rebuild data models since they can be resused
No manual process is needed to connect data with business context

Cons

It is unavailable on premise platform for mobile phones and freemium version

Likelihood to Recommend

It is easy to use due to its self-service capabilities. It collects data from all ETL services.No coding is needed to visualize data with SAP Data Warehouse Cloud. It does not require rebuilding data models since they can be reused It access data to both clouds and on-premise data sources.

Bill Short

Chief operating officer in Customer Service at Southern California telephone company (Telecommunications, 51-200 employees)

Vetted Review

3 years of experience

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