Microsoft Azure Synapse Analytics vs VMware Tanzu Greenplum comparison

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17,768 views|8,324 comparisons
94% willing to recommend
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2,089 views|1,712 comparisons
81% willing to recommend
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Executive Summary

We performed a comparison between Microsoft Azure Synapse Analytics and VMware Tanzu Greenplum 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. VMware Tanzu Greenplum Report (Updated: March 2024).
768,740 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 the keynotes and their simplicity. Like other Microsoft products, Microsoft Azure Synapse Analytics is simple to understand and use.""Overall deployment and integration is pretty fast.""Synapse Analytics gives you information and reports in real-time.""One of the most valuable features of this solution is its ability to integrate well with other services offered by Azure.""The platform has multiple valuable use cases. They include performance, compatibility, flexibility, and cost.""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.""It's user-friendly and has a good dashboard.""They are very reliable and cost-effective."

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"Pivotal Greenplum's shared-nothing architecture.""A very good, open-source platform.""With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution.""The loading speed is very good.""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.""We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database.""Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible.""The most valuable feature for us is horizontal scaling."

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Cons
"The macro functions, though useful, are not totally user-friendly. Some people have difficulties in learning them.""I'd like to see part of the service de-coupled.""It's stable, but its stability could be better. However, we understand that it's in production, and new features are getting added and upgraded, so you do get hiccups sometimes.""Synapse makes it easy to integrate and onboard data from other Microsoft and Azure sources. The interface is familiar because we were using Azure Data Factory before Synapse. It made the transition even easier because the Synapse interface is exactly the same.""The linked services can be improved. We can create dynamic linked services to access a lot of databases but only those of the same type. For example, I can use the same linked services to access 11 SQL databases. However, if I have 11 SQL databases and five Oracle databases, I need two dynamic linked services. I cannot do it with only one linked service. The UI also needs to be improved. When I have used Azure Synapse for programming with PySpark, Scala, or .NET, for example, the UI has been unstable. If I open two notebooks for programming, one notebook will queue the session of the other.""It would be beneficial to take the top vendors and identify some kind of straightforward action to work with them. Instead of having to employ a separate vendor tool to be able to move this, it would be nice to be able to go through Microsoft.""I am a researcher. For people to be able to research a solution, there should be at least a free trial. Just advertising a product or saying that this product is better doesn't work. I would strongly recommend providing a lot of free trials and trainings. This will also help Microsoft in having more users or customers. Oracle provides some free trials. You can just go for a free trial and use your database online, which is very good.""Integration with other products is an area that can be improved."

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"If you have a user consuming a huge load of resources, it takes down the entire system.""It will be very useful if we could communicate with other database types from Greenplum (using a database link).""Initial setup is a little complex. It took around two weeks to deploy.""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.""VMware Tanzu Greenplum needs improvement in the memory area and improved methods for quick access to the disc. So, one of the quick goals of Greenplum must work on enhancing access to the disc by adding hints in the database.""They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data.""Tanzu Greenplum's compression for GPText could be made more efficient.""Implementation takes a long time."

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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 →

  • "It is the best product with best fit for price/performance customer objectives."
  • "Pricing is good compared to other products. It's fine."
  • "We are using the open-source version of this solution."
  • "Tanzu Greenplum's pricing is really competitive and gives excellent value for money."
  • "It’s an open-source solution."
  • More VMware Tanzu Greenplum 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:It’s an open-source solution. There are no expenses for using it.
    Top Answer:Maintenance is time-consuming. It takes time to VACUUM and ANALYZE the tables to remove the fragmentations.
    Ranking
    2nd
    Views
    17,768
    Comparisons
    8,324
    Reviews
    36
    Average Words per Review
    467
    Rating
    8.1
    9th
    out of 34 in Data Warehouse
    Views
    2,089
    Comparisons
    1,712
    Reviews
    6
    Average Words per Review
    370
    Rating
    7.3
    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."


    VMware Tanzu Greenplum is a massively parallel processing (MPP) data platform that enables organizations to store, manage, and analyze large volumes of data. It provides a unified analytics platform that supports various data types and sources, including structured, semi-structured, and unstructured data. 

    The solution is highly scalable and can be deployed on-premises, in the cloud, or hybrid environments. It includes advanced security features, high availability, and disaster recovery capabilities to minimize downtime and ensure business continuity. Tanzu Greenplum provides a comprehensive set of tools and services for building, deploying, and managing modern applications.

    Sample Customers
    Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
    General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
    Top Industries
    REVIEWERS
    Computer Software Company19%
    Financial Services Firm13%
    Manufacturing Company10%
    Comms Service Provider10%
    VISITORS READING REVIEWS
    Educational Organization32%
    Computer Software Company10%
    Financial Services Firm8%
    Manufacturing Company5%
    REVIEWERS
    Financial Services Firm52%
    Comms Service Provider12%
    Marketing Services Firm12%
    Retailer8%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company13%
    Manufacturing Company6%
    Insurance Company5%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise18%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise39%
    Large Enterprise46%
    REVIEWERS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    Buyer's Guide
    Microsoft Azure Synapse Analytics vs. VMware Tanzu Greenplum
    March 2024
    Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. VMware Tanzu Greenplum and other solutions. Updated: March 2024.
    768,740 professionals have used our research since 2012.

    Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 85 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. Microsoft Azure Synapse Analytics is rated 7.8, while VMware Tanzu Greenplum is rated 7.8. 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 VMware Tanzu Greenplum writes "Very efficient at large scale analytics; lacks inbuilt machine-learning functions for complex use cases". Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and Teradata, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Apache Hadoop and Snowflake. See our Microsoft Azure Synapse Analytics vs. VMware Tanzu Greenplum 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.