Data Hub vs SAP Information Steward comparison

Why PeerSpot?

DataHub and SAP are both solutions in the Metadata Management category. DataHub is ranked #4 with an average rating of 8.2, while SAP is ranked #12. DataHub holds a 2.7% mindshare in MM, compared to SAP’s 3.1% mindshare. Additionally, 100% of DataHub users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

Data Hub

Read 22 Data Hub reviews

2,535 Views
786 Comparison Views

100% willing to recommend

SAP Information Steward

Read 9 SAP Information Steward reviews

2,308 Views
969 Comparison Views

100% willing to recommend

Data Hub

SAP Information Steward

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 8, 2026

SAP Information Steward and Data Hub are competing products in data management, particularly in data governance and integration. Information Steward excels in data governance with extensive profiling and monitoring, whereas Data Hub offers superior data integration and orchestration capabilities.

Features: SAP Information Steward is known for its extensive data profiling, integration with SAP environments, and precise data quality management tools. Data Hub provides robust integration across diverse data sources, flexible data pipelines, and the ability to handle complex data environments.

Room for Improvement: Information Steward could enhance its integration capacity outside SAP environments, improve its user interface for non-SAP users, and offer more customizable reporting. Data Hub can benefit from simplifying initial deployment, enhancing user training for complex orchestrations, and decreasing the setup time for new integrations.

Ease of Deployment and Customer Service: SAP Information Steward is easily deployed within SAP ecosystems, offering strong support channels for integration. Data Hub adapts well to multi-cloud environments but requires more configuration, with support beneficial in complex orchestration scenarios.

Pricing and ROI: Information Steward's pricing is aligned with its governance features, making it a cost-effective option for companies focusing on data quality. Data Hub, though potentially more expensive at the outset, compensates with extensive integration functionalities, providing substantial long-term ROI, particularly for organizations using varied data sources.

To learn more, read our detailed Data Hub vs. SAP Information Steward Report (Updated: September 2026).

Buyer's Guide

Data Hub vs. SAP Information Steward

September 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Data Hub

Ranking in Metadata Management

4th

Average Rating

8.2

Reviews Sentiment

4.8

Number of Reviews

Ranking in other categories

AI Observability (9th)

SAP Information Steward

Ranking in Metadata Management

12th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Quality (19th)

Mindshare comparison

As of October 2026, in the Metadata Management category, the mindshare of Data Hub is 2.7%, up from 0.8% compared to the previous year. The mindshare of SAP Information Steward is 3.1%, up from 2.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Metadata Management Mindshare Distribution
Product	Mindshare (%)
Data Hub	2.7%
SAP Information Steward	3.1%
Other	94.2%

Metadata Management

Featured Reviews

Akashkhurana Hirana

Senior Software Engineer 2 at Porch

Metadata management has streamlined lineage tracking and data discovery for our teams

The best features Data Hub offers include its integration capability with many popular tools like Apache Airflow, Snowflake, dbt, Looker, Apache Kafka, and BigQuery. These tools provide us with data in various places, and we commonly use Apache Airflow for the DAG, while utilizing BigQuery as our database and Apache Kafka for consuming messaging queues. Data Hub easily connects with all these tools and features excellent data discovery and visualization capabilities. We can see data visibility, where it comes from, its upstream and downstream relationships. If we remove a column, we can assess the impact of that change. Furthermore, if there are duplicate datasets being used by different teams that do not communicate regularly, onboarding all data to Data Hub allows us to identify these duplicates easily. Out of all those features, I believe data discovery and impact analysis are the most valuable for my team because when we want to add or drop a column, we can assess the impact analysis to understand the downstream effects. This helps us know who owns a dataset, and we can easily contact the owner. Tracking the data lineage back to the source table is also a key benefit. Data Hub has positively impacted my organization by significantly reducing manual work that was previously needed to identify upstream and downstream data relationships, as well as recognizing duplicate datasets. If a data contract is broken, we now easily get notified of those issues, making the process much easier and more efficient. It is particularly useful for data engineers and platform teams to check for problems directly within Data Hub. Data Hub has saved our team a lot of time. For example, in a large company like Porch, if I want to know whether a specific dataset exists, I can check Data Hub, as it serves as a centralized point for managing the metadata of our data. While it does not contain all data, it does contain the metadata necessary for understanding the dataset's origin. If a dataset does not exist, I can simply see who the owner is and reach out to them, which reduces the dependency on others by providing direct access to information in Data Hub.

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FranciscoSantos

Director at Pixel Studio PTY

Provides accurate data that is validated against a personalized reference tool

For most SAP customers, Information Steward is enough because it is able to build quality data rules to detect issues in the source systems like SAP HANA, Business Warehouse, or other systems. A business user can first organize their data into several data domains. For example, procurement, human resources, and logistics setup. The domains can build data quality dimensions where you can describe the kind of rule that you are going to use. The user then can immediately see if something is wrong with their data using traffic lights. Another great feature of SAP Information Steward is the accuracy that the content is followed by validating against the reference tool. With the solution, you are creating data quality dimensions. Within these dimensions, you are creating business data quality rules that are looking for specific fields. From these rules, you can create a scorecard. The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits. SAP tables have field names that are very cryptic, making them hard to understand the meaning of the fields. Metapedia helps describe these fields in business terms.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"One of the biggest advantages of Data Hub is the very good integration, for example, a department focused on development made the integrations between Data Hub and BigQuery."

"I find Data Hub to be a very important data catalog tool for a company that values data."

"Acryl Data helps with processing large amounts of data as it is a very good tool that gives good flexibility to store a huge amount of data and is easier to use."

"We made it a place where all stakeholders in our company could log in and see which data were used for which data marts, which column values meant for which definitions, and how they were measured."

"Data Hub has positively impacted my organization by functioning as an all-in-one solution."

"Data Hub has impacted my organization positively by helping us build a data governance environment and share the knowledge about the data for the entire company."

"Data Hub had a positive impact on my organization by disclosing to the organization and to business users what existed in the data lake."

"Data Hub has positively impacted my organization by significantly reducing manual work that was previously needed to identify upstream and downstream data relationships, as well as recognizing duplicate datasets."

More Data Hub pros

"The most valuable features are data quality insight, metadata management, and metadata dictionary."

"The solution is user-friendly even for those who are dealing with it for the first time."

"The data profiling was excellent, as was the ease of generating the dashboards."

"Initial setup was straightforward."

"The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits."

"The solution is very fast."

"I am very happy with the product."

"Ability to collect information, monitor user access and to plan storage capacity."

More SAP Information Steward pros

Cons

"We encountered some issues when we wanted to connect our streaming infrastructure to Data Hub, which was somewhat problematic."

"Data Hub can be improved since the version we have in our company does not support profiling for the table side."

"I believe the data quality module can always be improved by examining what is available in the market and making appropriate improvements to the tool."

"However, concerning data quality, it is not sufficiently equipped as it lacks components to evaluate the data quality level, which is a feature available in other data catalogs, indicating an area for improvement."

"Integrating Data Hub with our existing tools and systems was not very easy, which is why my rating is an eight."

"In terms of ROI, I would say that Atlan is better. The way Data Hub is implemented at the moment, Atlan is much better; it's much, much faster."

"The areas for improvement, in my opinion, are the initial setup and configuration that can be complex without prior experience, especially in large-scale environments."

"Sometimes when it goes out of memory due to multiple jobs in progress, some records are dropped because the executor is dropped without completing the entire process."

More Data Hub cons

"Granularity could be reduced from an application level to the object level."

"SAP Information Steward is an expensive solution compared to others."

"The solution could improve by incorporating other applications, such as Power BI to show more visualization. More interaction with other solutions would be a good benefit."

"The user experience of metapedia could be improved."

"We'd like to see some manipulation techniques included in SAP Information Steward."

"SAP Information Steward could be improved by offering a cloud version of the product."

"SAP is a bit pricey, and better tools are available for a lower price."

"The support team is not very responsive."

More SAP Information Steward cons

Pricing and Cost Advice

Information not available

"A bit pricey, and better tools are available for a lower price."

"I do not know if there were additional costs beyond the standard licensing fees."

"SAP Information Steward is an expensive solution compared to others."

"Smaller-sized organizations may not be able to invest in SAP Information Steward because of the cost."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Outsourcing Company

13%

Construction Company

Manufacturing Company

16%

Government

11%

Comms Service Provider

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	7
Large Enterprise	15

By reviewers
Company Size	Count
Small Business	1
Large Enterprise	7

Questions from the Community

What needs improvement with Data Hub?

Data Hub can be improved with easy accessibility. I think integration with other environments is needed to enhance accessibility.

See all answers

What is your primary use case for Data Hub?

My main use case for Data Hub is for data governance, specifically the use of data lineage and data catalog. I use Data Hub for data governance and data lineage in my day-to-day work by checking th...

See all answers

What advice do you have for others considering Data Hub?

I do not have any advice to give to others looking into using Data Hub. I found this interview valuable and do not think anything needs to change for the future. My overall review rating for Data H...

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Compared 12% of the time

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Compared 9% of the time

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Compared 8% of the time

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Compared 7% of the time

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Product Reports

Buyer's Guide

Data Hub

October 2026

Download Data Hub product report

Buyer's Guide

SAP Information Steward

September 2026

Download SAP Information Steward product report

Also Known As

Acryl Data

Information Steward, SAP Data Insight

Overview

Data Hub is an advanced platform designed to streamline data management processes, enhance data accessibility, and provide comprehensive analytics capabilities for informed decision-making.

Data Hub offers a unified approach to handling large-scale datasets, empowering organizations to effectively manage, analyze, and extract insights from their data infrastructure. It provides robust features for data integration, storage, and visualization, supporting diverse business needs and driving data-driven strategies.

What are the key features of Data Hub?

Data Integration: Seamlessly combines data from multiple sources for cohesive analysis.
Scalability: Supports growing data needs without performance degradation.
Analytics Tools: Enables advanced data processing and insightful reporting.
Security: Robust security protocols to ensure data compliance and protection.
Custom Dashboards: Offers customizable interfaces for tailored analytics displays.

What benefits do users experience with Data Hub?

Increased Efficiency: Streamlines data processes, reducing time and resource spent.
Cost-Effectiveness: Minimizes need for multiple data management tools.
Improved Decision Making: Provides actionable insights through data analytics.
Enhanced Collaboration: Facilitates data sharing across departments, encouraging teamwork.

Data Hub is implemented across industries such as finance, healthcare, and retail, providing tailored solutions that meet specific demands in areas like customer data analysis, patient record management, and inventory tracking. Its ability to adapt to sector-specific requirements makes it a versatile choice for businesses seeking enhanced data capabilities.

DataHub

SAP Information Steward offers data quality insights, metadata management, and data validation scorecards, ensuring accurate data validation through scorecards and dashboards, making it user-friendly and efficient for businesses seeking clarity and effective data profiling.

SAP Information Steward provides a comprehensive approach to managing data quality and governance. It is designed to simplify deployment and streamline data profiling and cleansing with ease. Businesses leverage its capabilities to create data quality rules and detect issues in source systems, enhancing business clarity and accurate data validation. Centralizing cloud data and offering business-friendly metadata descriptions with Metapedia, it supports better metadata management and data profiling. However, it requires improvements in data export capabilities, integration for data manipulation, data filtering features, and enhanced support responsiveness.

What are the key features of SAP Information Steward?

Data Quality Insight: Provides tools for insightful data quality assessments.
Metadata Management: Allows centralized management of metadata through Metapedia.
Scorecard for Data Validation: Offers intuitive scorecards and dashboards for validating data accuracy.
Data Profiling and Cleansing: Facilitates effective profiling and cleansing processes.
Cloud Data Centralization: Centralizes cloud data for effective management.

What benefits and ROI should users look for?

Ease of Deployment: Simplifies the integration into existing systems ensuring swift usage.
User-friendly Interface: Enhances usability for efficient operations.
Accurate Data Validation: Improves the accuracy of business data.
Comprehensive Metadata Descriptions: Offers detailed business-friendly descriptions.
Integrated Data Profiling: Enhances the quality and accuracy of data management.

Industries implement SAP Information Steward widely, notably in global enterprises for S/4HANA business processes and historical reporting, prioritizing data profiling, data quality assessments, and business rules for managing customer information and transformations. Its Metapedia component supports data governance initiatives within these businesses.

SAP

Sample Customers

Information Not Available

American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated

Buyer's Guide

Data Hub vs. SAP Information Steward

September 2026

Free Report: Data Hub vs. SAP Information Steward

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