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Microsoft Azure Synapse Analytics vs VMware Tanzu Greenplum comparison

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Cloud Data Warehouse
June 2022
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: June 2022.
608,713 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Very interactive and provides flexibility.""The product is very user friendly.""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 has been working well overall.""The stability is pretty good.""The initial setup is very simple.""The pricing seems to be quite fair.""They are available on the Cloud, and the platform is very intuitive."

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"A very good, open-source platform.""It's super easy to deploy and it also supports different languages and analytics.""The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable."

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Cons
"While the solution is flexible, sometimes this works against the user.""Non-structured data is unavailable with this product.""Microsoft Azure Synapse Analytics could improve its compatibility with Visual Studio. One of the challenges for people moving from an on-premise to a cloud solution, such as Microsoft Azure Synapse Analytics, is that you're constantly working in a browser. There are people that have been working for decades on desktop applications. For them to start working in a browser, it's quite a change. Allowing people to work and do their work inside Visual Studio than in the browser, would be a large advantage.""Synapse Analytics needs to develop an automation framework because now you have to build a cache yourself. You have to build a pipeline in WhereScape, which does end-to-end pipeline automation well. Microsoft should come up with a framework to save people time. If they developed a tool like WhereScape, it would dramatically reduce development time.""Microsoft should develop an interface to make it easier to shift from on-premise to the cloud.""Indicating what areas need improvement in this solution is a difficult question because the organizations that I am working for are really new in this area. However, an even better more simple interface, or perhaps an extension of a connector app store solution, would be helpful.""I'd like to see part of the service de-coupled.""If I'm looking for something good in the cloud, I would want it to have better standard connectors."

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"They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often.""Extra filters would be helpful.""The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."

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Pricing and Cost Advice
  • "All of the prices are available online."
  • "Our license is very expensive"
  • "They are cost aggressive, and it integrates well with other Microsoft tools."
  • "There is a cost calculator available online that allows you to input your entire scenario, and it will get back to you with information on what the costs are going to be."
  • "Its price could be better. It was a school project, and I got it for free. If I try to pay through my company, it is a little bit more expensive as compared to Oracle."
  • "The price of the package not expensive and depends on how much it is used."
  • "The cost of the licensing depends on the size of the warehouse, where the cost of storage is approximately $130 USD per terabyte."
  • "This is a cost-effective product."
  • More Microsoft Azure Synapse Analytics 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:Traditional ETL would usually use a dedicated database (or even database server) where you'll load & transform your raw data before ingesting it into the final destination. This would allow checking… more »
    Top Answer:We're using the open-source version so there are no licensing fees.
    Top Answer:I'd like to see more support for structured data and features related to queries on NoSQL keys, extra filters would be helpful.
    Ranking
    2nd
    Views
    31,104
    Comparisons
    21,912
    Reviews
    39
    Average Words per Review
    502
    Rating
    7.8
    9th
    out of 30 in Data Warehouse
    Views
    4,520
    Comparisons
    3,200
    Reviews
    3
    Average Words per Review
    421
    Rating
    9.0
    Comparisons
    Also Known As
    Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
    Greenplum, Pivotal Greenplum
    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."


    Parallel Postgres for enterprise analytics at scale
    With improved transaction processing capability and support for streaming ingest, Greenplum can address workloads across a spectrum of analytic and operational contexts, from traditional business intelligence to deep learning.

    Offer
    Learn more about Microsoft Azure Synapse Analytics
    Learn more about VMware Tanzu Greenplum
    Sample Customers
    Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
    General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Comms Service Provider12%
    Healthcare Company12%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Computer Software Company26%
    Comms Service Provider15%
    Financial Services Firm7%
    Energy/Utilities Company6%
    REVIEWERS
    Financial Services Firm50%
    Comms Service Provider15%
    Marketing Services Firm15%
    Retailer10%
    VISITORS READING REVIEWS
    Computer Software Company31%
    Comms Service Provider18%
    Financial Services Firm12%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise22%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise15%
    Large Enterprise68%
    REVIEWERS
    Small Business20%
    Midsize Enterprise17%
    Large Enterprise63%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    Buyer's Guide
    Cloud Data Warehouse
    June 2022
    Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: June 2022.
    608,713 professionals have used our research since 2012.

    Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 43 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 3 reviews. Microsoft Azure Synapse Analytics is rated 7.8, while VMware Tanzu Greenplum is rated 9.0. The top reviewer of Microsoft Azure Synapse Analytics writes "Scalable, intuitive, facilitates compliance and keeping your data secure". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Powerful external data integration and parallel load capabilities, with good technical support". Microsoft Azure Synapse Analytics is most compared with Snowflake, Amazon Redshift, Apache Hadoop, SAP BW4HANA and Oracle Autonomous Data Warehouse, whereas VMware Tanzu Greenplum is most compared with Snowflake, Apache Hadoop, Oracle Exadata, Amazon Redshift and Oracle Autonomous Data Warehouse.

    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.