IBM Integrated Analytics System vs Microsoft Azure Synapse Analytics comparison

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Executive Summary

We performed a comparison between IBM Integrated Analytics System and Microsoft Azure Synapse Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
To learn more, read our detailed Data Warehouse Report (Updated: March 2024).
765,386 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:
Pricing and Cost Advice
Information Not Available
  • "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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    Ranking
    21st
    out of 33 in Data Warehouse
    Views
    403
    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
    Smart Analytics System, IBM Smart Analytics System
    Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
    Learn More
    IBM
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    Overview
    The IBM Smart Analytics System provides analytics capabilities on a data warehouse foundation. This integrated and optimized system combines advanced software with IBM server and storage hardware to address a range of analytics workloads and accelerate deployment to help achieve greater efficiency, lower cost and higher performance.

    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
    WIdO AOK, EEKA Fashion, SSGC, GS Retail
    Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Manufacturing Company13%
    Computer Software Company11%
    Energy/Utilities Company9%
    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 Business9%
    Midsize Enterprise9%
    Large Enterprise81%
    REVIEWERS
    Small Business29%
    Midsize Enterprise18%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise39%
    Large Enterprise47%
    Buyer's Guide
    Data Warehouse
    March 2024
    Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    IBM Integrated Analytics System is ranked 21st in Data Warehouse while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 85 reviews. IBM Integrated Analytics System is rated 8.0, while Microsoft Azure Synapse Analytics is rated 8.0. The top reviewer of IBM Integrated Analytics System writes "They deliver a canned, scalable solution, but I would like to see the TSA scripts available publicly". On the other hand, the top reviewer of Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". IBM Integrated Analytics System is most compared with IBM Netezza Performance Server, SAP IQ 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 Data Warehouse vendors and best Cloud Data Warehouse vendors.

    We monitor all 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.