Microsoft Azure Synapse Analytics vs Microsoft Parallel Data Warehouse comparison

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Executive Summary

We performed a comparison between Microsoft Azure Synapse Analytics and Microsoft Parallel Data Warehouse 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. Microsoft Parallel Data Warehouse Report (Updated: March 2024).
768,857 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
"I like SQL post, which is for storage and distributed computing. Another good feature is the copy activity.""We use Azure Synapse Analytics in many different areas and industries, so I like that you can administrate and create pipelines for difference sources of data and later integrate and deploy it to other internal areas, such as separate dashboards for financials, and so on.""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 the capabilities, and the integration with other Azure resources, such as Data Factory, Databricks, and Spark for data processing. The overall ability to compose the solution with other Azure resources is valuable.""It's quite quick for querying, even with large datasets, and it's scalable. It's also flexible to use, so it's easy to update and get data quickly without wasting time.""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, but we use the ETL tool in this solution.""Technical support is okay in terms of the help they provide.""I think the most valuable component is that pipelines are built into it and then the feature that you can mirror a cosmos BB for analytics."

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"​It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time.​""It is a very stable database.""We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it.""Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time.""We have complete control over our data.""Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it.""The most valuable features are the performance and usability.""We can store the data in a data lake for a very low cost."

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Cons
"I would like to see more ready-to-use products from Synapse. Right now, everything seems a bit futuristic without much modern use.""The platform is not flexible, and the graphical user interface needs to be improved because the interface makes it hard for the end user to use it.""It could be beneficial to focus on integration with various data sources and similar enhancements.""Microsoft should develop an interface to make it easier to shift from on-premise to the cloud.""It could be more stable.""The macro functions, though useful, are not totally user-friendly. Some people have difficulties in learning them.""The need to improve a little bit in terms of user-friendliness.""There is a limit on the number of concurrent queries to around 125 for Azure Synapse."

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"The only issue with the product is that the process is very slow when we have a huge amount of data.""The product does not have all of the features that the native products have.""SQL installation is pretty tricky. The scalability and customer support also should be improved.""I would like to see better visualization features.""The solution is expensive and has room for improvement.""The product must provide more frequent updates.""Some compatibility issues occur during deployment, so we need to build the product from scratch for some features.""I would like the ability to do more real-time type updates instead of batch-oriented updates."

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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 →

  • "I think the program is well-priced compared to the other offerings that are out in the market."
  • "Microsoft has an agreement with the government in our country, so our customers get their licensing costs from the Ministry. Whenever we work with any government, company, or government institute, which is mainly what we are doing, that license comes directly from the Ministry of Technology and Information."
  • "All the features that we use do not require any additional subscription or yearly fees."
  • "Technical support is an additional fee and is expensive."
  • "The solution's pricing is fairly decent for organizations with huge data sizes."
  • "The tool could be expensive if we need to manage a lot of data."
  • "They offer an annual subscription. The pricing depends on the size of the environments."
  • More Microsoft Parallel Data Warehouse 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:Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time.
    Top Answer:They offer an annual subscription. The pricing depends on the size of the environments.
    Top Answer:Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced.
    Ranking
    2nd
    Views
    17,768
    Comparisons
    8,324
    Reviews
    36
    Average Words per Review
    467
    Rating
    8.1
    8th
    out of 34 in Data Warehouse
    Views
    598
    Comparisons
    475
    Reviews
    12
    Average Words per Review
    379
    Rating
    8.0
    Comparisons
    Also Known As
    Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
    Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse
    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."


    The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.

    Sample Customers
    Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
    Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
    Top Industries
    REVIEWERS
    Computer Software Company19%
    Financial Services Firm13%
    Comms Service Provider10%
    Manufacturing Company10%
    VISITORS READING REVIEWS
    Educational Organization32%
    Computer Software Company10%
    Financial Services Firm8%
    Manufacturing Company5%
    REVIEWERS
    Computer Software Company18%
    Healthcare Company18%
    Hospitality Company12%
    Pharma/Biotech Company12%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm17%
    Insurance Company7%
    University6%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise18%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise39%
    Large Enterprise46%
    REVIEWERS
    Small Business36%
    Midsize Enterprise14%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise18%
    Large Enterprise65%
    Buyer's Guide
    Microsoft Azure Synapse Analytics vs. Microsoft Parallel Data Warehouse
    March 2024
    Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Microsoft Parallel Data Warehouse and other solutions. Updated: March 2024.
    768,857 professionals have used our research since 2012.

    Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 85 reviews while Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews. Microsoft Azure Synapse Analytics is rated 7.8, while Microsoft Parallel Data Warehouse is rated 7.6. 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 Microsoft Parallel Data Warehouse writes "An easy to setup tool that allows its users to write stored procedure, making it a scalable product". Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and Vertica, whereas Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, SAP BW4HANA, VMware Tanzu Greenplum and Snowflake. See our Microsoft Azure Synapse Analytics vs. Microsoft Parallel Data Warehouse 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.