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SAP Data Hub [EOL] vs SnapLogic comparison

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Comparison Buyer's Guide

Executive Summary

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
3
Ranking in other categories
No ranking in other categories
SnapLogic
Average Rating
8.2
Reviews Sentiment
6.4
Number of Reviews
67
Ranking in other categories
Customer Data Integration (4th), Data Integration (5th), Business-to-Business Middleware (6th), Migration Tools (4th), Process Automation (4th), API Management (8th), Cloud Data Integration (3rd), Data Preparation Tools (6th), AI Development Platforms (15th), Data Migration Appliances (4th), Low-Code Development Platforms (15th), Integration Platform as a Service (iPaaS) (1st), AI Governance (5th), AI Orchestration Frameworks (4th), Agentic Automation (8th), AI Agent Builders (11th), Business Orchestration and Automation Technologies (7th)
 

Featured Reviews

VM
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.
AR
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.

Quotes from Members

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

Pros

"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."
"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."
"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."
"SnapLogic is a powerful tool that is easy to use; it is more beneficial, more secure, and more stable compared to other tools I have used previously."
"SnapLogice is a low-code development tool."
"If a company needs to use SnapLogic, first they need to consider why they need it, and if you have all your applications moving from on-premise to cloud migration, this is one of the best tools for that."
"SnapLogic Intelligent Integration Platform (IIP) provides workflow automation and a data integration pipeline that is seamless, as it is just drag and drop with double-click functionality and no need to publish the metadata, as it is intelligent enough to figure out the metadata by looking at the source connector."
"SnapLogic has positively impacted my organization by helping me increase revenue substantially by automating the flow between the order-to-cash, which I have already mentioned."
"SnapLogic has led to faster delivery of many pipelines that previously would have taken much more time to develop."
"The solution has solved many problems for our customers and has improved their operations."
"SnapLogic has positively impacted my organization by enabling us to bring a lot of external data in for our suppliers so that we can then utilize that information to start reducing ad hoc queries within the business, improve customer relationships, improve customer experience, improve supplier relationships, and it is even now being used as negotiation tools with suppliers."
 

Cons

"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."
"The company has everything offshore."
"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."
"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."
"The setup cost would be four or five. There would be only one point of improvement if the price could be lower."
"I do not have much idea on how SnapLogic can be improved, but from a user interface perspective, if it were improved in a more user-friendly way, it would be more helpful."
"SnapLogic can be improved. My only initial suggestion is that the AI agent is a little overly friendly."
"While new features are always welcome, I do not have anything else at the top of my mind currently."
"Sometimes there are glitches when moving a design pipeline from the development to production environment."
"The only thing I do not prefer at the minute about SnapLogic is when I go into the monitor, it can be a bit slow, so when I am trying to diagnose why something went wrong and I am searching, it can take a bit of time."
"SnapLogic can be improved by not keeping some of the connectors that would be very useful as a premium connector."
 

Pricing and Cost Advice

"The Cloud is very expensive, but SAP HANA previous service is okay."
"From the ROI perspective, the price is extremely high"
"SnapLogic's price is high compared to the other tools available in the market."
"I used the free trial."
"The license model is based on consumption."
"The pricing is okay."
"When comparing it with solutions like Apigee or MuleSoft, it still offers better value."
"The cost with SnapLogic is an annual license and better than Informatica."
"By scaling the solution incrementally the cost is controlled and more beneficial to the client."
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Top Industries

By visitors reading reviews
Outsourcing Company
14%
Manufacturing Company
14%
Construction Company
10%
Financial Services Firm
8%
Manufacturing Company
11%
Outsourcing Company
11%
Comms Service Provider
10%
Healthcare Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise18
Large Enterprise36
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with SnapLogic?
I feel SnapLogic can be improved, particularly on the user interface side. While it is good, I believe we can improve the GUI further. This improvement would help newcomers by making the interface ...
What is your primary use case for SnapLogic?
My main use case for SnapLogic is for different projects involving data migrations. We need to migrate data from our old SQL database to SnapLogic. I am mainly using it for this purpose and am curr...
What advice do you have for others considering SnapLogic?
SnapLogic is a powerful tool that is easy to use. It is more beneficial, more secure, and more stable compared to other tools I have used previously. I can recommend this to everyone. I have rated ...
 

Also Known As

No data available
DataFlow, SnapLogic Intelligent Integration Platform (IIP)
 

Overview

 

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