SAP Data Hub [EOL] vs Zaloni Data Platform comparison

Why PeerSpot?

SAP and Zaloni are both solutions in the Data Governance category. Additionally, 66% of SAP users are willing to recommend the solution, compared to 50% of Zaloni users who would recommend it.

SAP Data Hub [EOL]

Read 3 SAP Data Hub [EOL] reviews

66% willing to recommend

Zaloni Data Platform

Read 2 Zaloni Data Platform reviews

1,181 Views
898 Comparison Views

50% willing to recommend

SAP Data Hub [EOL]

Zaloni Data Platform

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 15, 2026

SAP Data Hub EOL and Zaloni Data Platform are in the data integration and management arena. SAP Data Hub holds an advantage with its integration capabilities and ecosystem robustness, while Zaloni shines with modern features and adaptability.

Features: SAP Data Hub EOL offers comprehensive data orchestration, supports diverse data sources, and enables complex transformations. Zaloni Data Platform provides advanced data cataloging, governance, and an intuitive dashboard. SAP focuses on enterprise-scale operations, whereas Zaloni emphasizes innovation and flexibility.

Ease of Deployment and Customer Service: SAP Data Hub EOL is intensive in deployment, suited for large enterprises with robust support. Zaloni, however, offers a quicker deployment model with responsive customer service, highlighting SAP’s complexity against Zaloni's user-friendly experience.

Pricing and ROI: SAP Data Hub EOL involves significant initial setup costs, delivering long-term ROI for established enterprises. In contrast, Zaloni may have higher upfront costs but ensures faster time-to-value through its advanced features and efficiency.

To learn more, read our detailed Data Governance Report (Updated: August 2026).

Buyer's Guide

Data Governance

August 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

SAP Data Hub [EOL]

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Zaloni Data Platform

Average Rating

6.6

Number of Reviews

Ranking in other categories

Data Governance (41st), Data Preparation Tools (12th)

Featured Reviews

Vijaya Macherla

GTM Lead at Capgemini

The solution is seamless, but the database sometimes leads to confusion

We used to have multiple different kinds of databases, which internally, had different compliance levels. Retention management is very different now. If the policy is live and the claim has been completed, I couldn't archive the claim. I needed to keep a reference integrity of that claim and understand which policy paid out the claim. With this solution, the policy came in six months ago and qualified for archiving. The claim had been paid and in every environment, the claim had been closed, including the reporting system, the claims system, etc. With the payment set gateway, I can just go and archive. But, we had a hard time during this process. I rate the overall solution a seven out of ten.

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reviewer1476264

Solution Architect at a financial services firm with 10,001+ employees

Solid multi-ingestion tool but with poor exception handling

The major pain point with Zaloni is that their exception handling is not good. If any event happens (an event is when the job stops in the middle of the process), it doesn't tell you at which point it failed and it doesn't tell the operations team how they should take corrective actions unless you call Zaloni and then identify the issues. That is one issue. Another issue is that sometimes your jobs fail and if you run it a second time, it will go through. A third area it could be improved is the deployment process. When you want to deploy anything, it has a lot of manual processes. For example, you have to create your password in an encrypted format, and then you have to use a lot of manual deployment process. They should actually be building something else, like using Jenkins or automating their process. I have suggested to them that they have to improve their deployment process because they want everyone to run a manual deployment. It takes a lot of time, about half a day, for any single deployment. Then test it, then it might not work, and then reverting back is not easy because of the manual deployment process. I think in recent versions they added a lot of upgrades and additional features including a lot of integrations. Before it was just AWS, later they extended it to Azure. I'm not sure how they have extended it to GCP. It has some built-in features and a lot of improvements now because the UI and the features were not easy to navigate. Regarding showing the metrics, it's okay. I will say it's neither easy nor hard, there is whatever is required. Lastly, on the governance side, it's not very good. We faced some issues with the Ranger version. Ranger was an authentication tool on big data and Zaloni had some compatibility issues with the Ranger at that time. Later they said those are all going to be resolved, but at that time it had some issues. I'm not sure whether it was working with the Sentry or not.

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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

"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."

"The most valuable feature is the S/4HANA 1909 On-Premise"

"Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."

"They lead in terms of business functions, and no other solution has business functions already implemented to perform business analysis, with a lot of prebuilt business functions for machine learning and orchestration that we can use directly to get an analysis out from the existing enterprise data."

"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."

"You can create a lot of ingestions based on the file levels or based on the time."

"The most valuable feature is the ability to map data and write workflows with logic inside them."

"The entire need was to ingest it into big data and Zaloni was the fastest product to test and implement into production."

Cons

"In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure."

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

"The company has everything offshore."

"Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this."

"Technical support is in need of improvement."

"The major pain point with Zaloni is that their exception handling is not good."

"When we have gone to the support team because something is wrong with the product, I would say that it has not been easy for them to sort things out and quickly give us a patch."

"The major pain point with Zaloni is that their exception handling is not good. If any event happens, it doesn't tell you at which point it failed and it doesn't tell the operations team how they should take corrective actions unless you call Zaloni and then identify the issues. That is one issue."

Pricing and Cost Advice

"The Cloud is very expensive, but SAP HANA previous service is okay."

Information not available

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Top Industries

By visitors reading reviews

Outsourcing Company

14%

Manufacturing Company

13%

Construction Company

10%

Financial Services Firm

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Comparisons

Oracle Data Integrator (ODI) vs SAP Data Hub [EOL]

Compared 8% of the time

Collibra Platform vs SAP Data Hub [EOL]

Compared 8% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Hub [EOL]

Compared 7% of the time

SAS Data Management vs SAP Data Hub [EOL]

Compared 5% of the time

Palantir Foundry vs SAP Data Hub [EOL]

Compared 4% of the time

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Collibra Platform vs Zaloni Data Platform

Compared 23% of the time

Alation Data Catalog vs Zaloni Data Platform

Compared 14% of the time

Alteryx vs Zaloni Data Platform

Compared 9% of the time

Unifi vs Zaloni Data Platform

Compared 8% of the time

SAS Enterprise Guide vs Zaloni Data Platform

Compared 6% of the time

More Zaloni Data Platform Competitors

Product Reports

Buyer's Guide

Data Governance

August 2026

Download SAP Data Hub [EOL] product report

Buyer's Guide

Data Governance

August 2026

Download Zaloni Data Platform product report

Also Known As

No data available

ZDP

Overview

The SAP® Data Hub solution enables sophisticated data operations management. It gives you the capability and flexibility to connect enterprise data and Big Data and gain a deep understanding of data and information processes across sources and systems throughout the distributed landscape. The unified solution provides visibility and control into data opportunities, integrating cloud and on-premise information and driving data agility and business value. Distributed processing power enables greater speed and efficiency.

SAP

Zaloni Data Platform offers a comprehensive data management solution that addresses the challenges of data governance, security, and integration across complex environments. It enables enterprises to control, manage, and optimize their data assets effectively.

Zaloni Data Platform is recognized for its ability to handle intricate data requirements with a focus on governance and security. It supports efficient data cataloging, enhanced data quality, and robust data lineage. The platform empowers businesses by centralizing and unifying data access, making it simpler to manage Big Data environments. Targeting data professionals, it provides a suite of tools designed to optimize data utilization and streamline data processes.

What are the standout features of Zaloni Data Platform?

Data Cataloging: Provides a comprehensive catalog to discover and understand data assets easily.
Data Governance: Ensures data accuracy and compliance through automated processes.
Data Lineage: Offers visibility into data movement and transformation across systems.
Security and Compliance: Implements strong data security measures and compliance tracking.
Scalability: Adapts to growing data volumes and storage requirements.

What benefits or ROI should users expect from Zaloni Data Platform?

Improved Data Quality: Enhances decision-making with accurate and reliable data.
Operational Efficiency: Reduces time and resources needed for managing data.
Cost Savings: Optimizes data storage and reduces redundant processes.
Risk Management: Minimizes risks related to data breaches and compliance issues.

Zaloni Data Platform has seen successful deployment across industries such as finance, healthcare, and telecommunications. In finance, it helps manage regulatory compliance data requirements. In healthcare, it ensures secure patient data management, while in telecommunications, it supports the integration of data for customer analytics and service improvements.

Zaloni

Sample Customers

Kaeser Kompressoren, HARTMANN

CDS Global, AIG,

Find out what your peers are saying about Collibra, Microsoft, Informatica and others in Data Governance. Updated: August 2026.

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