IBM Db2 Warehouse on Cloud vs Microsoft Azure Synapse Analytics comparison

Cancel
You must select at least 2 products to compare!
Comparison Buyer's Guide
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 what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse.
To learn more, read our detailed Cloud Data Warehouse Report (Updated: March 2024).
765,234 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.​"

More IBM Db2 Warehouse on Cloud Pros →

"The ability to scale out services on-demand and scale them down when they are not required is most valuable. You are in control of your expenditures, and you are also in control of the horsepower that you need. That's a major advantage.""Very interactive and provides flexibility.""The setup is pretty simple.""Can capture all the transactional data throughout a company.""They are very reliable and cost-effective.""I like its performance. It is well-structured and offers a lot of practical options. Because of the visual design of the product, it is very easy to find icons and other visual elements. It took me more than two weeks to understand how it works. I had an intensive training session to understand it, which was enough. It was not hard to understand how it works.""They are available on the Cloud, and the platform is very intuitive.""I like the keynotes and their simplicity. Like other Microsoft products, Microsoft Azure Synapse Analytics is simple to understand and use."

More Microsoft Azure Synapse Analytics Pros →

Cons
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either.""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.""Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues.""Tech support for dashDB is awful. We usually have tickets open for three to four weeks."

More IBM Db2 Warehouse on Cloud Cons →

"The filing can be improved.""Documentation could be improved.""Synapse Analytics' performance slows down if you don't get your distribution right because it gets queued and goes into a single node.""Microsoft Azure Synapse Analytics can improve by adding more flexibility to the reports. Having more visible structures based on the area, region and country would be beneficial.""The support and price could improve.""Microsoft Azure Synapse Analytics could improve the section in the solution where you can implement the Python Spark pipelines, it's not the same as in Databricks which would be better.""I would like my team to be able to build pipelines that integrate with the Azure Data Factory.""It needs strong support for social media, internet data, and native support for NoSQL."

More Microsoft Azure Synapse Analytics Cons →

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 →

    report
    Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
    765,234 professionals have used our research since 2012.
    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:It is a highly stable solution and it's easy to use.
    Ranking
    15th
    Views
    360
    Comparisons
    328
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    2nd
    Views
    19,142
    Comparisons
    9,225
    Reviews
    37
    Average Words per Review
    462
    Rating
    8.1
    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 Firm18%
    University9%
    Manufacturing Company9%
    Computer Software Company7%
    REVIEWERS
    Computer Software Company19%
    Financial Services Firm13%
    Manufacturing Company11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Educational Organization31%
    Computer Software Company11%
    Financial Services Firm8%
    Manufacturing Company5%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise8%
    Large Enterprise76%
    REVIEWERS
    Small Business29%
    Midsize Enterprise18%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise39%
    Large Enterprise47%
    Buyer's Guide
    Cloud Data Warehouse
    March 2024
    Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: March 2024.
    765,234 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 85 reviews. IBM Db2 Warehouse on Cloud is rated 7.6, while Microsoft Azure Synapse Analytics is rated 8.0. 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, Snowflake and Oracle Exadata, whereas Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, Snowflake, SAP BW4HANA, Amazon Redshift and Teradata.

    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.