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  3. SAP Data Services
Logo of SAP Data Services

SAP Data Services

bySAP
in
4.3
Market Presence: Augmented Data Quality Solutions, Data Integration Tools

Overview

Product Information on SAP Data Services

Updated 13th October 2025

What is SAP Data Services?

SAP Data Services is a software designed to enable organizations to manage, integrate, and transform data from various sources into a unified and reliable format for analytics and business processes. The software supports data migration, cleansing, profiling, and enrichment, allowing users to improve data quality and consistency across enterprise systems. It offers capabilities for extracting, transforming, and loading data, ensuring accurate information is available for business intelligence solutions, regulatory compliance, and operational efficiency. SAP Data Services provides data integration tools for both structured and unstructured data, supporting workflows to automate repetitive tasks and facilitating scalable data management to address complex business requirements.

SAP Data Services Pricing

SAP Data Services software follows a licensing-based pricing model, typically structured around enterprise needs, usage volume, and deployment options. The software is licensed per server or per core, with variations based on data integration requirements and selected modules. Additional costs may apply for maintenance, support, and upgrades depending on the contract agreements.

Overall experience with SAP Data Services

Data Analyst
10B - 30B USD, Telecommunication
FAVORABLE

“Detailed Chat Analysis Made Simple But Learning Curve Remains Steep”

4.0
May 1, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Market Research Analyst
500M - 1B USD, Real Estate
CRITICAL

“Powerful Data Integration Tool with Steep Learning Curve”

3.0
Aug 5, 2025
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

About Company

Company Description

Updated 13th August 2025

SAP was founded in 1972 and is headquartered in Walldorf, Germany. The company employs over 105,000 people globally and develops software solutions for enterprise resource planning (ERP) and related business functions. SAP’s early products, SAP R/2 and SAP R/3, were widely adopted for managing core business processes. Its current ERP platform, SAP S/4HANA, uses in-memory computing to support data-intensive operations and integrates capabilities such as artificial intelligence and machine learning. SAP offers a portfolio of software applications that support various business functions across industries. These applications are designed to operate on a unified digital platform. As of 2025, SAP reports over 230 million cloud users and provides more than 100 solutions. The company’s offerings are used by organizations to manage finance, human resources, procurement, supply chain, and other operational areas.

Company Details

Updated 13th August 2025
Company type
Public
Year Founded
1972
Head office location
Walldorf, Germany
Number of employees
10001+
Annual Revenue
30B+ USD
Website
http://www.sap.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

SAP Data Services Reviews and Ratings

4.3

(210 Ratings)

Rating Distribution

5 Star
27%
4 Star
61%
3 Star
10%
2 Star
1%
1 Star
0%
Why ratings and reviews count differ?
  • Data Analyst
    10B+ USD
    Telecommunication
    Review Source

    Detailed Chat Analysis Made Simple But Learning Curve Remains Steep

    4.0
    May 1, 2026
    I used this in one of my projects where the customer wanted a detailed analysis of the Customer Service chat data to get to know about the customer behaviour and common customer concerns then improve on those particular issues.
  • Data Analyst
    10B+ USD
    Telecommunication
    Review Source

    Detailed Chat Analysis Made Simple But Learning Curve Remains Steep

    4.0
    May 1, 2026
    I used this in one of my projects where the customer wanted a detailed analysis of the Customer Service chat data to get to know about the customer behaviour and common customer concerns then improve on those particular issues.
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Recommended Gartner Insights

  • Critical Capabilities for Augmented Data Quality Solutions
  • Magic Quadrant for Augmented Data Quality Solutions
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Reviewer Insights for: SAP Data Services
Deciding Factors: SAP Data Services Vs. Market Average
Performance of SAP Data Services Across Market Features

SAP Data Services Likes & Dislikes

Like

Some of the standout features for us were- 1) Text data processing: As our input data was mainly chat data so the SAP Data Services were able to easily process and extract the relevant information from the chats. 2) Data Integration: It was able to combine the text data with other customer data like, customer location and specific services they are using to get to know more about the problems. 3) Data Quality Management: It cleans and organizes the chat data and removes unnecessary information to make it more relatable and useful.

Like

Some of the standout features for us were- 1) Text data processing: As our input data was mainly chat data so the SAP Data Services were able to easily process and extract the relevant information from the chats. 2) Data Integration: It was able to combine the text data with other customer data like, customer location and specific services they are using to get to know more about the problems. 3) Data Quality Management: It cleans and organizes the chat data and removes unnecessary information to make it more relatable and useful.

Like

Some of the standout features for us were- 1) Text data processing: As our input data was mainly chat data so the SAP Data Services were able to easily process and extract the relevant information from the chats. 2) Data Integration: It was able to combine the text data with other customer data like, customer location and specific services they are using to get to know more about the problems. 3) Data Quality Management: It cleans and organizes the chat data and removes unnecessary information to make it more relatable and useful.

Dislike

Complex Setup and Steep Learning CurvePower

Dislike

Complex Setup and Steep Learning CurvePower

Dislike

Complex Setup and Steep Learning CurvePower