SAP Data Hub vs SSIS vs SnapLogic comparison

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SAP Logo
821 views|686 comparisons
66% willing to recommend
SnapLogic Logo
1,134 views|744 comparisons
90% willing to recommend
Microsoft Logo
Read 69 SSIS reviews
19,568 views|15,878 comparisons
79% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between SAP Data Hub, SnapLogic, and SSIS based on real PeerSpot user reviews.

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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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."

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"By using snaps instead of functions in code, you can see the building blocks of the integration visually. This helps a lot.""SnapLogice is a low-code development tool.""The solutions ability to connect "snaps" or components to the graphic user interface is very intuitive, prevents errors, and makes implementations easy.""An important tool for building prototypes and MVPs than can seamlessly turn into production jobs""SnapLogic is a great platform for establishing integrations among various systems or patterns by using any kind of interface. If something is not supported by predefined snaps – snaps are connectors in SnapLogic – you can create them (custom snaps) or write a script.""It's more developer-friendly, and development can be done at a faster phase.""SnapLogic is more user-friendly than Boomi in terms of debugging. You can move the mouse to a place, and it will record and show the data easily.""The API architecture makes it easy for orchestration."

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"The setup was easy. All Microsoft products are easy to set up.""SSIS provides you with lookup and transformation functions, and you have the flexibility to write your own custom code.""It's saved time using visualization descriptions.""This solution is easy to implement, has a wide variety of connectors, has support for Visual Basic, and supports the C language.""The product's deployment phase is easy.""It is easy to set up. The deployment is also very quick.""The performance is good.""The solution is stable."

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Cons
"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."

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"The dashboards regarding scheduled tasks need further improvement.""One of the areas for improvement in SnapLogic is that the connectors for some of the applications should be more available in terms of testing in the dev environment. Another area for improvement is that the logging should be standardized, for example, the integration with an ELK stack should be required out-of-the-box, so you can ship the log and have it in the ELK stack. There should be integration with ELK stack for the log shipping.""They should expand in terms of features for SaaS-based market requirements in different sectors.""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.""What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. 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. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools.""SnapLogic should have some inbuilt protocol mechanism in order to speed up.""There is room for improvement with APM management and how task execution looks.""SnapLogic sits somewhere in the middle. It doesn’t offer enough easy canned integrations for its users like some of the easier to use integration apps."

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"The solution could improve by having quicker release updates.""It should have other programming languages supported as well from a scripting perspective. Currently, only C# and VB.NET are supported, which limits it to .NET. It should have Java support as well.""We have a stability problem because when something works, it works one time. The next time, it doesn't work.""SSIS can improve by the minimum code requirements in stored procedures and exporting data is difficult. They could make it easier, it should be as easy as it is to import data.""A change in the metadata source cripples the whole ETL process, requiring each module to be manually reopened.""There are a lot of things that Microsoft could improve in relation to SSIS. One major problem we faced was when attempting to move some Excel files to our SQL Server. The Excel provider has a limitation that prevents importing more than 255 columns from a particular Excel file to the database. This restriction posed a significant issue for us.""I would like to see better integration with Power BI.""There was also not enough instructions from Microsoft in regards to this application or this technology, which can easily be improved upon."

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Pricing and Cost Advice
  • "The Cloud is very expensive, but SAP HANA previous service is okay."
  • More SAP Data Hub Pricing and Cost Advice →

  • "It is a higher initial cost than other easy-to-use integration apps."
  • "They have pricing/usage tiers that are easy to move up or down."
  • "SnapLogic is not expensive. It's reasonably priced."
  • "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."
  • "The license model is based on consumption."
  • "I used the free trial."
  • "SnapLogic's price is high compared to the other tools available in the market."
  • More SnapLogic Pricing and Cost Advice →

  • "This solution has provided an inexpensive tool, and it is easy to find experienced developers."
  • "My advice is to look at what your configuration will be because most companies have their own deals with Microsoft."
  • "This solution is included with the MSSQL server package."
  • "It would be beneficial if the solution had a less costly cloud offering."
  • "Based on my experience and understanding, Talend comes out to be a little bit expensive as compared to SSIS. The average cost of having Talend with Talend Management Console is around 72K per region, which is much higher than SSIS. SSIS works very well with Microsoft technologies, and if you have Microsoft technologies, it is not really expensive to have SSIS. If you have SQL Server, SSIS is free."
  • "We have an enterprise license for this solution."
  • "It comes bundled with other solutions, which makes it difficult to get the price on the specific product."
  • "All of my clients have this product included as part of their Microsoft license."
  • More SSIS Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations There are many third-party vendors offering ETL solutions, but two of the most popular are PowerCenter Informatica and Microsoft SSIS (SQL Server Integration Services). Each technology has its advantages but there are also similarities on how they carry out the extract-transform-load processes and only differ in terminologies. If you’re in the process of choosing ETL tools and PowerCenter Informatica and Microsoft SSIS made it to your shortlist, here is a short comparative discussion detailing the differences between the two, as well as their benefits. Package Configuration Most enterprise data integration projects would require the capacity to develop a solution in one platform and test and deploy it in a separate environment without having to manually change the established workflow. In order to achieve this seamless movement between two environments, your ETL technology should allow the dynamic update of the project’s properties using the content or a parameter file or configuration. Both Informatica and SSIS support this functionality using different methodologies. In Informatica, every session can have more than one source and one or more destination connections. There are… Read more →
    Questions from the Community
    Top Answer:SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any… more »
    Top Answer:We moved from Oracle. If you're aware of your monitoring system, the RPU market, and the managed system, you should move… more »
    Top Answer:I technically handle the database, like cycle management projects. When transaction data comes in, we see it based on… more »
    Top Answer:My company has a licensed version of SnapLogic, so we have to pay for the product when we use it in our organization… more »
    Top Answer:SnapLogic and Pentaho are tools I use collaboratively for data integration. I have good experience with Pentaho and… more »
    Top Answer:SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called… more »
    Top Answer:The product's deployment phase is easy.
    Top Answer:If you don't want to pay a lot of money, you can go for SSIS, as its open-source version is available. When it comes to… more »
    Ranking
    25th
    out of 57 in Data Governance
    Views
    821
    Comparisons
    686
    Reviews
    1
    Average Words per Review
    469
    Rating
    7.0
    Views
    1,134
    Comparisons
    744
    Reviews
    13
    Average Words per Review
    710
    Rating
    8.2
    2nd
    out of 100 in Data Integration
    Views
    19,568
    Comparisons
    15,878
    Reviews
    35
    Average Words per Review
    471
    Rating
    7.7
    Comparisons
    Also Known As
    DataFlow
    SQL Server Integration Services
    Learn More
    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.

    The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.

    SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.

    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!
    1. Amazon.com 2. Bank of America 3. Capital One 4. Coca-Cola 5. Dell 6. E*TRADE 7. FedEx 8. Ford Motor Company 9. Google 10. Home Depot 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Foods 15. Lockheed Martin 16. McDonald's 17. Microsoft 18. Morgan Stanley 19. Nike 20. Oracle 21. PepsiCo 22. Procter & Gamble 23. Prudential Financial 24. RBC Capital Markets 25. SAP 26. Siemens 27. Sony 28. Toyota 29. UnitedHealth Group 30. Visa 31. Walmart 32. Wells Fargo
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company15%
    Manufacturing Company13%
    Financial Services Firm12%
    Government7%
    REVIEWERS
    Retailer22%
    Transportation Company22%
    Manufacturing Company11%
    Pharma/Biotech Company11%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Manufacturing Company11%
    Computer Software Company11%
    Retailer6%
    REVIEWERS
    Financial Services Firm23%
    Healthcare Company8%
    Computer Software Company8%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company12%
    Government7%
    Healthcare Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business50%
    Midsize Enterprise14%
    Large Enterprise36%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise11%
    Large Enterprise75%
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    Buyer's Guide
    Data Governance
    April 2024
    Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance. Updated: April 2024.
    768,924 professionals have used our research since 2012.