SAP Data Hub [EOL] vs SnapLogic comparison

The compared SAP and SnapLogic solutions aren't in the same category. SnapLogic is ranked #7 in PaaS , with an average rating of 8.3, and holds a 4.0% mindshare. Additionally, 66% of SAP users are willing to recommend the solution, compared to 91% of SnapLogic users who would recommend it.

SAP Data Hub [EOL]

Read 3 SAP Data Hub [EOL] reviews

66% willing to recommend

SnapLogic

Read 34 SnapLogic reviews

8,208 Views
2,627 Comparison Views

91% willing to recommend

SAP Data Hub [EOL]

SnapLogic

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Executive Summary

We performed a comparison between SAP Data Hub [EOL] and SnapLogic based on real PeerSpot user reviews.

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

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Buyer's Guide

Data Governance

July 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

SnapLogic

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (10th), Process Automation (7th), API Management (10th), Cloud Data Integration (7th), Integration Platform as a Service (iPaaS) (7th)

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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AbhishekRaj

Integration Consultant at a consultancy with 1,001-5,000 employees

Low-code integrations have automated workflows and save time across enterprise applications

They can enhance the error handling and debugging part. Troubleshooting complex pipeline failures can be time-consuming. We are spending a lot of time on error handling. More detailed error messages and root cause analysis tools can be added, which will definitely improve the developer experience. In the Ultra real-time integrations, we can monitor the last execution history of only 100 runs. That can be increased, which would be one of the platform improvements that can really be taken. However, they are doing very well because lots of ChatGPTs and AI assistants have been added in the last two years, which makes a very good effect. SnapLogic is the only platform that provides this kind of visibility to the developers. Anyone, even if they have low experience and are starting their IT careers, can directly jump in and learn SnapLogic. The documentation is very easy to learn. Anyone, even a layman, can refer to that documentation and go through its Snap-pack to understand what configuration has to be done to use this Snap-pack. This makes SnapLogic definitely exceptional in the market. You won't find such comprehensive documentation in other iPaaS tools. The draggable packs truly demonstrate its power in usability. Governance and security are also well in place in SnapLogic, but there are areas for improvement. They can add more granular role and permission controls that provide greater flexibility for large enterprises. For example, if you have to provide access to 70 users in one shot, that can be improved. More improvements in policy enforcement capabilities are possible as well. SnapLogic can improve the data lineage part to achieve better end-to-end visibility into data movement. Also, during validation, we can only see up to 2,000 records currently. They can increase that from 2,000 to 20,000. They can put more visibility on costs and resource visibility, with better reporting on platform usage, processing consumption, and cost optimization opportunities.

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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."

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

"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."

"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."

"I found SnapLogic valuable and what I found most valuable about it was its ETL feature."

"It is a scalable solution."

"The solution could improve its API management."

"The feature I found most valuable in SnapLogic is low-code development. Low-code development has been very useful for simple processes, which is required for business users such as extracting details from a file or getting things reported by calling your web service. Calling your web service also becomes easier with SnapLogic because of the snaps available, so if you have the documentation, you can call an API. You don't have to write all those clients to call an API, so that is another feature I found very easy in SnapLogic. Configuring and managing all the file systems also become very handy with the solution."

"SnapLogic is very user-friendly."

"The feature I found most valuable in SnapLogic is low-code development."

"I find the reusability and the snaps to be very valuable features."

"It is a stable solution."

More SnapLogic pros

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."

"If the AI capabilities and integrations were more intuitive and easy for new users to learn, it would be greatly beneficial."

"I would like to see more performance-related dashboards, ones that display the cost of a pipeline, for instance. Also, it would be helpful to have management dashboards for overseeing pipelines and connections."

"That said, while the SnapLogic technical managers are very good, the support model isn't great and should improve."

"They should expand in terms of features for SaaS-based market requirements in different sectors."

"From the HR point of view, or for HR tech, improvement is required. A couple of connectors are not working with all the relevant APIs, and there is always a restriction in terms of fetching the data."

"The solution isn't ideal for complex processing or logic. We use another solution for that."

"If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data."

"It needs some more snaps. I would like to see some of the features be changed in some of the snaps."

More SnapLogic cons

Pricing and Cost Advice

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

"The cost with SnapLogic is an annual license and better than Informatica."

"They have pricing/usage tiers that are easy to move up or down."

"It is a higher initial cost than other easy-to-use integration apps."

"SnapLogic's price is high compared to the other tools available in the market."

"By scaling the solution incrementally the cost is controlled and more beneficial to the client."

"From the ROI perspective, the price is extremely high"

"SnapLogic is not expensive. It's reasonably priced."

"The pricing is okay."

More SnapLogic pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

14%

Outsourcing Company

13%

Construction Company

11%

Financial Services Firm

10%

Manufacturing Company

13%

Financial Services Firm

10%

Construction Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	7
Large Enterprise	18

Questions from the Community

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What needs improvement with SnapLogic?

One thing I do not like about SnapLogic is some of the pre-built snap packs. If I want to integrate with a new system, I have to pay to get access to those. There have been a couple of instances of...

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What is your primary use case for SnapLogic?

SnapLogic is my primary automation and integration platform that I use daily. A specific example of how I use SnapLogic day-to-day involves a number of different syncs, such as having CRM data from...

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What advice do you have for others considering SnapLogic?

My advice to others looking into using SnapLogic is to consider the positive features I have mentioned before, as well as being aware of the downside of having to pay more to unlock more features. ...

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Product Reports

Buyer's Guide

Data Governance

July 2026

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Buyer's Guide

SnapLogic

July 2026

Download SnapLogic product report

Also Known As

No data available

DataFlow

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

SnapLogic offers a flexible, low-code environment for data integration and automation, utilizing an intuitive drag-and-drop interface with pre-built components to streamline the integration of multiple systems like Salesforce, SAP, and Workday, optimizing workflow automation.

SnapLogic provides robust ETL capabilities and broad connectivity options, enabling custom script implementation. Its visual design supports seamless deployment and efficient error management. Users benefit from automating data flows and enhancing data consistency through API integrations while managing both synchronous and asynchronous processes. However, areas needing improvement include user-friendly integrations, API management, and dashboard functionalities, as well as better transparency and error debugging. There is a call for improved handling of large datasets, enhanced connectivity, and advanced monitoring, DevOps integration, and AI functionalities. Customer support and documentation could be more comprehensive, especially for intricate operations.

What are SnapLogic's key features?

Drag-and-Drop Interface: Simplifies integration with a user-friendly design
Pre-Built Snaps: Offers ready-to-use components for faster setup
Low-Code Environment: Reduces complexity in pipeline creation
Robust ETL Capabilities: Supports efficient data extraction, transformation, and loading
Broad Connectivity: Integrates seamlessly with CRM, ERP, and other platforms

What benefits can users expect?

Increased Efficiency: Streamlines data processes to save time
Enhanced Data Consistency: Automates data flows, boosting accuracy
Workflow Automation: Reduces manual labor and improves process management
Versatile API Handling: Supports diverse API integrations for greater flexibility

In industries like finance, healthcare, and logistics, SnapLogic is extensively implemented for ETL processes, data migration, and automating complex workflows to improve data accuracy and enhance operational efficiency. These capabilities allow organizations to streamline operations and focus on strategic initiatives.

SnapLogic

Sample Customers

Kaeser Kompressoren, HARTMANN

Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!

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

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