Apache Hadoop vs VMware Tanzu Greenplum comparison

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Executive Summary

We performed a comparison between Apache Hadoop 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 Apache Hadoop vs. VMware Tanzu Greenplum Report (Updated: September 2023).
735,432 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:
"It is a file system for data collection. There are nodes in this cluster that contain all the information, directories, and other files. The nodes are based on the MySQL database.""One valuable feature is that we can download data.""We selected Apache Hadoop because it is not dependent on third-party vendors.""Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial.""Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform.""I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed.""Hadoop is extensible — it's elastic.""The most important feature is its ability to handle large volumes. Some of our customers have really large volumes, and it is capable of handling their data in terms of the core volume and daily incremental volume. So, its processing power and speed are most valuable."

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"Helps us to achieve large-scale analytics.""The loading speed is very good.""A very good, open-source platform.""It works very well with large database queries.""Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP 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."

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"Real-time data processing is weak. This solution is very difficult to run and implement.""The stability of the solution needs improvement.""Hadoop's security could be better.""The integration with Apache Hadoop with lots of different techniques within your business can be a challenge.""The price could be better. I think we would use it more, but the company didn't want to pay for it. Hortonworks doesn't exist anymore, and Cloudera killed the free version of Hadoop.""The solution is not easy to use. The solution should be easy to use and suitable for almost any case connected with the use of big data or working with large amounts of data.""I think more of the solution needs to be focused around the panel processing and retrieval of data.""I mentioned it definitely, and this is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen. If the UI and UX can be improved slightly, I believe it will go a long way toward increasing adoption and effectiveness."

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"Tanzu Greenplum's compression for GPText could be made more efficient.""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.""If you have a user consuming a huge load of resources, it takes down the entire system.""Maintenance is time-consuming.""Extra filters would be helpful.""Lacks sufficient inbuilt machine-learning functions for complex use cases."

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Pricing and Cost Advice
  • "The price of Apache Hadoop could be less expensive."
  • "If my company can use the cloud version of Apache Hadoop, particularly the cloud storage feature, it would be easier and would cost less because an on-premises deployment has a higher cost during storage, for example, though I don't know exactly how much Apache Hadoop costs."
  • "We don't directly pay for it. Our clients pay for it, and they usually don't complain about the price. So, it is probably acceptable."
  • "The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."
  • More Apache Hadoop Pricing and Cost Advice →

  • "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: It is a file system for data collection. There are nodes in this cluster that contain all the information, directories, and other files. The nodes are based on the MySQL database.
    Top Answer:I am not updated with the licensing cost, but you need to pay for a license if purchased from Cloudera.
    Top Answer:Hadoop isn't so problematic. It deals with file storage and maintenance. It is a network of file operations. The stability of the solution needs improvement.
    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.
    out of 33 in Data Warehouse
    Average Words per Review
    out of 33 in Data Warehouse
    Average Words per Review
    Also Known As
    Greenplum, Pivotal Greenplum
    Learn More
    The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

    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.

    Learn more about Apache Hadoop
    Learn more about VMware Tanzu Greenplum
    Sample Customers
    Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
    General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
    Top Industries
    Financial Services Firm43%
    Comms Service Provider29%
    Hospitality Company7%
    Consumer Goods Company7%
    Financial Services Firm25%
    Computer Software Company11%
    Educational Organization6%
    Manufacturing Company6%
    Financial Services Firm52%
    Marketing Services Firm12%
    Comms Service Provider12%
    Financial Services Firm28%
    Computer Software Company14%
    Manufacturing Company6%
    Comms Service Provider5%
    Company Size
    Small Business32%
    Midsize Enterprise26%
    Large Enterprise42%
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    Small Business17%
    Midsize Enterprise14%
    Large Enterprise69%
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise71%
    Buyer's Guide
    Apache Hadoop vs. VMware Tanzu Greenplum
    September 2023
    Find out what your peers are saying about Apache Hadoop vs. VMware Tanzu Greenplum and other solutions. Updated: September 2023.
    735,432 professionals have used our research since 2012.

    Apache Hadoop is ranked 5th in Data Warehouse with 11 reviews while VMware Tanzu Greenplum is ranked 8th in Data Warehouse with 6 reviews. Apache Hadoop is rated 8.0, while VMware Tanzu Greenplum is rated 7.4. The top reviewer of Apache Hadoop writes "Has good processing power and speed and is capable of handling large volumes of data and doing online analysis". 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". Apache Hadoop is most compared with Microsoft Azure Synapse Analytics, Azure Data Factory, Snowflake, Oracle Exadata and Oracle Big Data Appliance, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Oracle Database Appliance, Snowflake, Vertica and Amazon Redshift. See our Apache Hadoop vs. VMware Tanzu Greenplum report.

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    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.