Microsoft Azure Synapse Analytics vs SAP BW4HANA comparison

Cancel
You must select at least 2 products to compare!
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Microsoft Azure Synapse Analytics and SAP BW4HANA based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Microsoft Azure Synapse Analytics vs. SAP BW4HANA Report (Updated: November 2022).
653,522 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The architecture, including compute and storage, is good.""Fills the gap between big data and classic data warehouses.""The solution's best feature is its predictive analytics.""Can capture all the transactional data throughout a company.""Synapse Analytics' best features are notebooks, pipelines, and monitoring.""The setup is pretty simple.""I have not used the technical support from Microsoft Azure Synapse Analytics, but I worked with the developers at Microsoft who were top-notch.""It's user-friendly and has a good dashboard."

More Microsoft Azure Synapse Analytics Pros →

"Its direct approach is the most valuable. You get more real time and capabilities than BW.""You can do hierarchical alert slicing and dicing out-of-box, which is not available in other solutions. I haven't come across that in Oracle or any other software provider.""I like that it's quite quick.""The solution is based on SAP ERP, so there's some business content already included. For customers who use SAP ERP, SAP BW4HANA is a good choice for their DW implementation.""We like that it is an SAP product, so we can easily connect with the SAP ERP system.""The most valuable feature is that we can transform a huge amount of data and apply business logic as per the requirements.""Some of the main features of this solution are that it uses HANA and it has good performance.""The UI is completely new, beautiful, and user-friendly. There are some other helpful features like global filters and advanced tools. We can perform custom calculations easily From a technical perspective, the performance has been enhanced and optimized for a limited number of flows. The content settings are more advanced, and there are so many other features that I can't name them all."

More SAP BW4HANA Pros →

Cons
"Microsoft Azure Synapse Analytics's overall integration within the Azure ecosystem could improve. The native Microsoft solution versus another solution, such as Databricks, there are areas where there could be some improvements.""Comes with a pretty steep learning curve.""Its stability is an issue. They have been releasing a version every six months to one year, which means that there are many versions available, and clients are not up to speed on the latest one that they're offering. From a stability point of view, they could do better. They're still upgrading their Synapse Analytics workspace, and it is not that stable. Its scalability can also be better.""Synapse Analytics' performance slows down if you don't get your distribution right because it gets queued and goes into a single node.""They should provide a less expensive version with a smaller setup for small businesses. Currently, its price is quite high for entry-level or small businesses. In terms of integration, new connectors are always welcomed.""It's a complicated product.""Could have more connectors and better integration for Hadoop.""Indicating what areas need improvement in this solution is a difficult question because the organizations that I am working for are really new in this area. However, an even better more simple interface, or perhaps an extension of a connector app store solution, would be helpful."

More Microsoft Azure Synapse Analytics Cons →

"Other competitors provide better solutions that are more up to date with current technology.""From a technical perspective, it could be even more related to legacy systems. The connectivity requirement is quite high and requires systems that are up-to-date.""The speed of operations could be a little faster.""The solution is not easy to implement. It requires a lot of learning at the beginning.""It's complicated to use. You need to spend a lot of time learning about it. The interface could be improved. It's not intuitive to build a data model and use their ETL tools.""There's one area where the other vendors have an upper edge, which is the data lake. I think SAP is trying to figure out whether to stick with IQ, their own data lake solution, or push customers toward customer-preferred vendors, like Azure Data Lake, AWS, or any other provider.""BW/4HANA could improve query optimization. For example, there could be an error message that pops up when you hover over it if any query fails. That would make it easier to find out what went gone wrong. Guided SAP help tools would make it easier for us to go forward.""They have taken out a few BW functionalities when they redesigned this. The way of multi-dimensional thinking and star schema got a little bit lost. It may be because of the cost, but certain functionalities that were previously implemented from the BW side should come back again in the whole product. It is a young product. It is version 2.0. In time, I'm pretty sure they will come back again because otherwise, it limits the potential of the product, and I have to do a lot of modeling towards that direction. For me, the analytics focus is too much. It is not cube-oriented in that way, so its functionality is limited. It is not really technically limited in the back end; it is more limited in the front end. It has a data-mining mindset for SQL developers. The navigational attributes should be easy. It needs to be built in models. I see the data mark cube or understanding that the composite provider needs to be models in a cube coming back. The multi-dimensional star schema approach and the reporting need to be done as well as possible to leverage the star scheme below. This is definitely not understood by many consultants and even composite providers for star schema. They always think in terms of flat tables, which is limiting. You need to build the right dimensions, objects, and so on. If you can build this in BW4HANA, then you have this understanding that BW4HANA is not forcing you in this direction, but it should force you a bit better in this direction. Maybe a few elements which were in use in BW should come back again. It would help the community to determine the direction to build on the cube. You can have maybe 50 elements, and then you can expand it to what you need by leveraging navigation. So far, this functionality is a little bit limited in the tool, and it is not thought through, but I think it will come. They should also be adding more capabilities for the transformation between different objects. In BW, this is currently limited, especially towards composite providers. It is a bit complex basically in the building. You have to have a lot of knowledge as well as know how to do it better because it is a bit different from BW. There is not too much expertise currently in the consulting markets. Many are trying to build something, but it may be based on their knowledge of what they have from the BW and HANA side. You have to find the right mix from both of them at this time. We also have HANA Native. These are our two different sync sources basically, and we have approaches to connect nicely, but it is hard to manage your team because a lot of coaching is required."

More SAP BW4HANA Cons →

Pricing and Cost Advice
  • "The cost of the licensing depends on the size of the warehouse, where the cost of storage is approximately $130 USD per terabyte."
  • "This is a cost-effective product."
  • "Because it's cloud the cost is a different convention and the licensing costs are not the same."
  • "It's very difficult to price unless you know exactly how the customer is using it."
  • "We normally pay between $300 and $500 per month, which is quite expensive for how much we actually use it, performance- and usage-wise. They have a cheap version and an expensive version, and our usage usually falls in the middle ground, which makes it not as cost-effective as it could be."
  • "The solution is subscription-based. You can also pay to use the product as you go."
  • "It requires a less expensive version because currently, not every customer is able to buy it. If it could have a smaller setup that doesn't require so many resources, it would be helpful, and we would be able to use it in more cases. We are a small country, and most of our customers are quite small businesses."
  • "It goes by the usage, and there are some limits. Synapse goes by particular pricing, and it is expensive. Both Azure Synapse Analytics and Snowflake are pretty expensive. They don't have standard pricing. They deal with each customer differently."
  • More Microsoft Azure Synapse Analytics Pricing and Cost Advice →

  • "We started as early birds from the SAP side. We got this entire suite for free. I cannot really talk about the price because we didn't have to pay anything."
  • "As an investment, the solution is very expensive."
  • "In general, it's quite expensive."
  • "SAP BW/4HANA is expensive."
  • "The SAP HANA application still hasn't been leveraged to the fullest extent, but it's a five-year enterprise license."
  • "The cost and licensing depends on how the customer is going to use the solution."
  • More SAP BW4HANA Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
    653,522 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different… more »
    Top Answer:Traditional ETL would usually use a dedicated database (or even database server) where you'll load & transform your raw data before ingesting it into the final destination. This would allow checking… more »
    Top Answer:The most valuable feature of Microsoft Azure Synapse Analytics is the pipeline that is the ETL tool. It's very well designed and is overall very good. We usually don't use the ETL tool in Databricks… more »
    Top Answer:Some of the main features of this solution are that it uses HANA and it has good performance.
    Top Answer:As an investment, the solution is very expensive. We pay 72% every year to SAP. Additionally, we pay for support for the solution and a vendor to do maintenance.
    Top Answer:Other competitors provide better solutions that are more up to date with current technology. For example, machine learning and artificial intelligence.
    Ranking
    3rd
    Views
    35,561
    Comparisons
    22,981
    Reviews
    47
    Average Words per Review
    472
    Rating
    7.8
    5th
    out of 31 in Data Warehouse
    Views
    4,631
    Comparisons
    3,165
    Reviews
    10
    Average Words per Review
    566
    Rating
    7.3
    Comparisons
    Also Known As
    Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
    SAP BW/4HANA
    Learn More
    Overview

    Microsoft Azure Synapse Analytics is an end-to-end analytics solution that successfully combines analytical services to merge big data analytics and enterprise data warehouses into a single unified platform. The solution can run intelligent distributed queries among nodes, and provides the ability to query both relational and non-relational data.

    Microsoft Azure Synapse Analytics is built with these 4 components:

    1. Synapse SQL
    2. Spark
    3. Synapse Pipeline
    4. Studio

    Microsoft Azure Synapse Analytics Features

    Microsoft Azure Synapse Analytics has many valuable key features, including:

    • Cloud Data Service: WIth Microsoft Azure Synapse Analytics you can operate services (data analytics, machine learning, data warehousing, dashboarding, etc.) in a single workspace via the cloud.

    • Structured and unstructured data: Microsoft Azure Synapse Analytics supports both structured and unstructured data and allows you to manage relational and non-relational data - unlike data warehouses and lakes that tend to store them respectively.

    • Effective data storage: Microsoft Azure Synapse Analytics offers next-level data storage with high availability and different tiers.

    • Responsive data engine: Microsoft Azure Synapse Analytics uses Massive Parallel Processing (MPP) and is designed to handle large volumes of data and analytical workloads efficiently without any problems.

    • Several scripting languages: The solution provides language compatibility and supports different programming languages, such as Python, Java, Spark SQL, and Scala.

    • Query optimization: Microsoft Azure Synapse Analytics works well to facilitate limitless concurrency and performance optimization. It also simplifies workload management.

    Microsoft Azure Synapse Analytics Benefits

    Some of the benefits of using Microsoft Azure Synapse Analytics include:

    • Database templates: Microsoft Azure Synapse Analytics offers industry-specific database templates that make it easy to combine and shape data.

    • Better business insights: With Microsoft Azure Synapse Analytics you can expand discovery of insights from all your data and apply machine learning models to all your intelligent apps.

    • Reduce project development time: Microsoft Azure Synapse Analytics makes it possible to have a unified experience for developing end-to-end analytics, which reduces project development time significantly.

    • Eliminate data barriers: By using Microsoft Azure Synapse Analytics, you can perform analytics on operational and business apps data without data movement.

    • Advanced security: Microsoft Azure Synapse Analytics provides both advanced security and privacy features to ensure data protection.

    • Machine Learning: Microsoft Azure Synapse Analytics integrates Azure Machine Learning, Azure Cognitive Services, and Power BI.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by Microsoft Azure Synapse Analytics users who are currently using the solution.

    PeerSpot user Jael S., who is an Information Architect at Systems Analysis & Design Engineering, comments on her experience using the product, saying that it is “Scalable, intuitive, facilitates compliance and keeps your data secure”. She also says "We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."

    Michel T., CHTO at Timp-iT, mentions that "the features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."

    A Senior Teradata Consultant at a tech services company says, "Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task."


    Streamline processes and support innovations with a single, trusted source for real-time insights. Based on SAP HANA, our next-generation data warehouse solution can help you capitalize on the full value of all your data from SAP applications or third-party solutions, as well as unstructured, geospatial, or Hadoop-based.

    Offer
    Learn more about Microsoft Azure Synapse Analytics
    Learn more about SAP BW4HANA
    Sample Customers
    Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
    Information Not Available
    Top Industries
    REVIEWERS
    Computer Software Company24%
    Comms Service Provider12%
    Financial Services Firm12%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Comms Service Provider11%
    Financial Services Firm9%
    Manufacturing Company6%
    REVIEWERS
    Manufacturing Company38%
    Computer Software Company13%
    Healthcare Company13%
    Comms Service Provider13%
    VISITORS READING REVIEWS
    Computer Software Company21%
    Comms Service Provider10%
    Manufacturing Company10%
    Energy/Utilities Company9%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise21%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise14%
    Large Enterprise68%
    REVIEWERS
    Small Business26%
    Midsize Enterprise9%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise13%
    Large Enterprise74%
    Buyer's Guide
    Microsoft Azure Synapse Analytics vs. SAP BW4HANA
    November 2022
    Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. SAP BW4HANA and other solutions. Updated: November 2022.
    653,522 professionals have used our research since 2012.

    Microsoft Azure Synapse Analytics is ranked 3rd in Cloud Data Warehouse with 47 reviews while SAP BW4HANA is ranked 5th in Data Warehouse with 11 reviews. Microsoft Azure Synapse Analytics is rated 7.8, while SAP BW4HANA is rated 7.4. The top reviewer of Microsoft Azure Synapse Analytics writes "Multifeatured, has better performance over other solutions, and lets users manage structured and unstructured information, but the platform needs to be more user-friendly". On the other hand, the top reviewer of SAP BW4HANA writes "Enables consolidation of data across an organisation onto a single platform for enterprise data insights & analytics ". Microsoft Azure Synapse Analytics is most compared with Snowflake, Amazon Redshift, Azure Data Factory, Apache Hadoop and AWS Lake Formation, whereas SAP BW4HANA is most compared with Snowflake, Amazon Redshift, SAP NetWeaver Business Warehouse, Oracle Exadata and Apache Hadoop. See our Microsoft Azure Synapse Analytics vs. SAP BW4HANA report.

    We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.