IBM Db2 Warehouse on Cloud vs Microsoft Azure Synapse Analytics comparison

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Executive Summary

We performed a comparison between IBM Db2 Warehouse on Cloud and Microsoft Azure Synapse Analytics 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 IBM Db2 Warehouse on Cloud vs. Microsoft Azure Synapse Analytics Report (Updated: May 2024).
771,170 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 performance is okay as long as the volume of queries is not too high.""It will be MPP, so performance should improve.""The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger.​"

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"The most important feature for me is the integration with PolyBase.""The most valuable features of Microsoft Azure Synapse Analytics are the user experience because it is easy to make analyses, load different databases, and different resources. Our end users can do the analysis by themselves without IT supervising. This is a great aspect of the solution, it's better for our environment.""The solution's best feature is its predictive analytics.""The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range.""Its seamless integration with Azure services is most valuable. If somebody wants to use all Azure services, it is the best solution.""The most valuable features of Microsoft Azure Synapse Analytics are how easy and quick it is to set up the linked services.""The most valuable feature of Microsoft Azure Synapse Analytics is its integration with the new legacy systems. Whatever application we want to integrate, we receive the reports based on the objects. The solution is easy to purchase from the cloud.""Synapse Analytics' best feature is its ability to process large files."

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Cons
"Right now, we are implementing on ESX VMware 6.0. Support for this platform is poor. Also, one of the backup/recovery options is broken and IBM is not addressing the issue.""Tech support for dashDB is awful. We usually have tickets open for three to four weeks.""Ultimately, the product itself has challenges and we are not currently satisfied with the support, either.""Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."

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"It would be beneficial to take the top vendors and identify some kind of straightforward action to work with them. Instead of having to employ a separate vendor tool to be able to move this, it would be nice to be able to go through Microsoft.""It could be beneficial to focus on integration with various data sources and similar enhancements.""I would like to see version control implemented into the data warehouse.""I am a researcher. For people to be able to research a solution, there should be at least a free trial. Just advertising a product or saying that this product is better doesn't work. I would strongly recommend providing a lot of free trials and trainings. This will also help Microsoft in having more users or customers. Oracle provides some free trials. You can just go for a free trial and use your database online, which is very good.""The configuration for things like high-availability could be more user-friendly for non-technical users.""There is a limit on the number of concurrent queries to around 125 for Azure Synapse.""Microsoft Azure Synapse Analytics's pricing could be reduced.""The support and price could improve."

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Pricing and Cost Advice
  • "If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."
  • More IBM Db2 Warehouse on Cloud Pricing and Cost Advice →

  • "The price of this solution could be improved."
  • "The pricing is okay. You can pay as you go."
  • "This solution starts at €1000.00 a month for just the basics and can go up to €300,000.00 per month for the fastest version."
  • "When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage."
  • "The licensing fees for this solution are on a pay-per-use basis, and not very expensive."
  • "All of the prices are available online."
  • "Our license is very expensive"
  • "They are cost aggressive, and it integrates well with other Microsoft tools."
  • More Microsoft Azure Synapse Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Organizations of all sizes, especially those who are in need of powerful and elastic cloud data warehouse solutions that can help administrators maximize the efficiency of their data-based operations… more »
    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:The product is easy to use, and anybody can easily migrate to advanced DB.
    Top Answer:Microsoft Azure Synapse Analytics is a moderately priced solution. We pay a yearly licensing fee for the solution. If you get help from partners, it will be expensive for you.
    Ranking
    15th
    Views
    294
    Comparisons
    268
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    Average Words per Review
    0
    Rating
    N/A
    2nd
    Views
    16,714
    Comparisons
    7,803
    Reviews
    36
    Average Words per Review
    457
    Rating
    8.0
    Comparisons
    Also Known As
    IBM dashDB
    Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
    Learn More
    Overview

    IBM dashDB family offers private and public cloud database solutions for transactional and analytic workloads, with IBM fully managed or client managed options with a Common SQL engine across all deployment options.

    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."


    Sample Customers
    Copenhagen Business School, BPM Northwest, GameStop
    Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm14%
    University10%
    Computer Software Company9%
    Manufacturing Company9%
    REVIEWERS
    Computer Software Company19%
    Financial Services Firm13%
    Manufacturing Company10%
    Comms Service Provider10%
    VISITORS READING REVIEWS
    Educational Organization33%
    Computer Software Company10%
    Financial Services Firm8%
    Manufacturing Company5%
    Company Size
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise12%
    Large Enterprise74%
    REVIEWERS
    Small Business29%
    Midsize Enterprise18%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise40%
    Large Enterprise46%
    Buyer's Guide
    IBM Db2 Warehouse on Cloud vs. Microsoft Azure Synapse Analytics
    May 2024
    Find out what your peers are saying about IBM Db2 Warehouse on Cloud vs. Microsoft Azure Synapse Analytics and other solutions. Updated: May 2024.
    771,170 professionals have used our research since 2012.

    IBM Db2 Warehouse on Cloud is ranked 15th in Cloud Data Warehouse while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 86 reviews. IBM Db2 Warehouse on Cloud is rated 7.6, while Microsoft Azure Synapse Analytics is rated 7.8. The top reviewer of IBM Db2 Warehouse on Cloud writes "The "prefetch" feature anticipates needed data and keeps it available. BLU acceleration determines what data is unqualified for analysis and skips it". On the other hand, the top reviewer of Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". IBM Db2 Warehouse on Cloud is most compared with IBM Db2 Warehouse, Amazon Redshift, IBM Netezza Performance Server and Snowflake, whereas Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and Teradata. See our IBM Db2 Warehouse on Cloud vs. Microsoft Azure Synapse Analytics report.

    See our list of best Cloud Data Warehouse vendors.

    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.