Microsoft Azure Synapse Analytics vs SAP IQ comparison

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Executive Summary

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

Find out in this report how the two 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 IQ 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:
Pros
"Scaling this solution is easy and the uptime is okay.""It's feature-rich. It has a wide range of features.""The MPP (Massively Parallel Processing) architecture helps to make things a lot faster.""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.""Overall deployment and integration is pretty fast.""The most valuable features of Microsoft Azure Synapse Analytics are the interface and the agility of the on-cloud platform.""The most valuable feature is the scalability."

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"The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution.""Valuable features for us include the compression, speed, fast response time, and easy object maintenance.""The primary benefit of SAP IQ is its ability to limit the expansion of the costly SAP HANA database, which has limited storage capacity. This necessitates a form of data management that involves moving data from SAP HANA to SAP NLS, which is essentially archiving. This allows us to retain access to the data via a link whenever it is required.""It is very robust for ad hoc DW queries and its columnar compression is unique and valuable.""Unbeatable speed and compression with a colummn-structured relational database.""Columnar storage allows high compression, high load rates and high query performance."

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Cons
"Microsoft should develop an interface to make it easier to shift from on-premise to the cloud.""The product could be more feature-rich.""There may be some challenges in terms of connecting with Virtual Networks (VNETs) to Microsoft Azure Synapse Analytics.""It's a complicated product.""I would like to see better integration with Active Directory, because we have had problems, and we still do.""The performance and data consistency need to be improved.""Integration with other products is an area that can be improved.""The cost of the solution has room for improvement."

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"The room for improvement would be the marketing of the product, because this product is much better than advertised.""I think the universe should be part of the Sybase IQ tool set.""The organization who owns the product does not support it well and appears not to be doing significant development for the future.""The solution works best when combined with other SAP solutions. If the environment has other systems other options might be better.""Concurrency and functional error messaging.""Multiplex is very problematic. There are consistency problems in the metadata, meaning it is possible to lose metadata consistency. You should make sure you have healthy backups."

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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 →

  • "Evaluate all options; check to see if you need expensive add-ons."
  • "Negotiate based on the features required."
  • "Negotiation is very important."
  • "The only costs after standard licensing fees are for add-ons and upgrades."
  • More SAP IQ Pricing and Cost Advice →

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    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:It is a highly stable solution and it's easy to use.
    Top Answer:The primary benefit of SAP IQ is its ability to limit the expansion of the costly SAP HANA database, which has limited storage capacity. This necessitates a form of data management that involves… more »
    Top Answer:The solution’s pricing is high, but coverage is good with high implementation with customer requirements.
    Top Answer:The product should add more business intelligence factors.
    Ranking
    2nd
    Views
    19,142
    Comparisons
    9,225
    Reviews
    37
    Average Words per Review
    462
    Rating
    8.1
    15th
    out of 33 in Data Warehouse
    Views
    577
    Comparisons
    451
    Reviews
    1
    Average Words per Review
    559
    Rating
    7.0
    Comparisons
    Also Known As
    Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
    Sybase IQ
    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."


    SAP® IQ software delivers speed and power for extreme-scale enterprise data warehousing and analytics. Its column-oriented, grid-based massively parallel processing (MPP) architecture and patented data compression and indexing technologies enable companies to exploit the value of huge amounts of data at the speed of business.

    Sample Customers
    Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
    ASR Group, Citrix, State of Indiana, PocketCard Co. Ltd.
    Top Industries
    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%
    REVIEWERS
    Financial Services Firm55%
    Healthcare Company9%
    Insurance Company9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm37%
    Computer Software Company11%
    Manufacturing Company6%
    Healthcare Company4%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise18%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise39%
    Large Enterprise47%
    REVIEWERS
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise9%
    Large Enterprise80%
    Buyer's Guide
    Microsoft Azure Synapse Analytics vs. SAP IQ
    March 2024
    Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. SAP IQ and other solutions. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 85 reviews while SAP IQ is ranked 15th in Data Warehouse with 17 reviews. Microsoft Azure Synapse Analytics is rated 8.0, while SAP IQ is rated 8.0. The top reviewer of Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". On the other hand, the top reviewer of SAP IQ writes "Easy to use, highly stable, but integration could improve". Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, Snowflake, SAP BW4HANA, Amazon Redshift and Teradata, whereas SAP IQ is most compared with Snowflake, SQL Server, SAP HANA, Apache Hadoop and SAP BW4HANA. See our Microsoft Azure Synapse Analytics vs. SAP IQ report.

    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.