Apache Hadoop vs VMware Tanzu Data Services comparison

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2,387 views|2,021 comparisons
87% willing to recommend
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1,949 views|1,602 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Apache Hadoop and VMware Tanzu Data Services 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 Data Services Report (Updated: May 2024).
772,679 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
"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.""​​Data ingestion: It has rapid speed, if Apache Accumulo is used.""We selected Apache Hadoop because it is not dependent on third-party vendors.""What comes with the standard setup is what we mostly use, but Ambari is the most important.""The most valuable features are powerful tools for ingestion, as data is in multiple systems.""I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed.""Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform.""One valuable feature is that we can download data."

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"Some of the most valuable features are publish and subscribe, fanout, and queues.""The solution is stable.""Companies can scale the solution, so long as they have server room.""We use VMware RabbitMQ to transfer information from one point to another.""The solution has really cool features to use. Its management console is excellent. You can utilize plugins to view the performance of the whole service on one network.""It works very well with large database queries.""The most valuable feature is asynchronous calls, which are easy to configure.""Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."

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Cons
"The stability of the solution needs improvement.""It could be more user-friendly.""There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution.""It needs better user interface (UI) functionalities.""It requires a great deal of learning curve to understand. The overall Hadoop ecosystem has a large number of sub-products. There is ZooKeeper, and there are a whole lot of other things that are connected. In many cases, their functionalities are overlapping, and for a newcomer or our clients, it is very difficult to decide which of them to buy and which of them they don't really need. They require a consulting organization for it, which is good for organizations such as ours because that's what we do, but it is not easy for the end customers to gain so much knowledge and optimally use it.""From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective.""The upgrade path should be improved because it is not as easy as it should be.""It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake."

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"The product is pretty hard to configure.""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.""This solution struggled with multi-regional synchronization.""The user interface could be improved.""Initial setup is a little complex. It took around two weeks to deploy.""I was struggling with installing a few things. It would be good if was somewhat similar to RedHat. There should be more documentation regarding installation troubleshooting.""VMware RabbitMQ's configuration process could be easier to understand.""The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."

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Pricing and Cost Advice
  • "Do take into consider that data storage and compute capacity scale differently and hence purchasing a "boxed" / 'all-in-one" solution (software and hardware) might not be the best idea."
  • "​There are no licensing costs involved, hence money is saved on the software infrastructure​."
  • "This is a low cost and powerful solution."
  • "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."
  • "We just use the free version."
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  • "The pricing is okay."
  • "It is the best product with best fit for price/performance customer objectives."
  • "Pricing is good compared to other products. It's fine."
  • "This is an open source solution."
  • "We are using the open-source version of this solution."
  • "are using the open-source version, which can be used free of cost."
  • "The pricing for RabbitMQ is reasonable. It is worth the cost."
  • "On a scale of one to five, with five being the most competitive pricing, I would rate this solution as a four."
  • More VMware Tanzu Data Services Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It's primarily open source. You can handle huge data volumes and create your own views, workflows, and tables. I can also use it for real-time data streaming.
    Top Answer:Since it is an open-source product, there won't be much support. So, you have to have deeper knowledge. You need to improvise based on that.
    Top Answer:IBM MQ has a great reputation behind it, and this solution is very robust with great stability. It is easy to use, simple to configure and integrates well with our enterprise ecosystem and protocols… more »
    Top Answer:It’s an open-source solution. There are no expenses for using it.
    Ranking
    6th
    out of 35 in Data Warehouse
    Views
    2,387
    Comparisons
    2,021
    Reviews
    13
    Average Words per Review
    530
    Rating
    7.8
    5th
    out of 35 in Data Warehouse
    Views
    1,949
    Comparisons
    1,602
    Reviews
    18
    Average Words per Review
    471
    Rating
    8.1
    Comparisons
    Also Known As
    Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres
    Learn More
    Overview
    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 is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.

    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
    REVIEWERS
    Financial Services Firm35%
    Comms Service Provider24%
    Hospitality Company6%
    Consumer Goods Company6%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company11%
    University6%
    Manufacturing Company5%
    REVIEWERS
    Financial Services Firm33%
    Computer Software Company17%
    Retailer10%
    Comms Service Provider10%
    VISITORS READING REVIEWS
    Financial Services Firm28%
    Computer Software Company15%
    Manufacturing Company6%
    Comms Service Provider4%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise19%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business34%
    Midsize Enterprise12%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise69%
    Buyer's Guide
    Apache Hadoop vs. VMware Tanzu Data Services
    May 2024
    Find out what your peers are saying about Apache Hadoop vs. VMware Tanzu Data Services and other solutions. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    Apache Hadoop is ranked 6th in Data Warehouse with 34 reviews while VMware Tanzu Data Services is ranked 5th in Data Warehouse with 81 reviews. Apache Hadoop is rated 7.8, while VMware Tanzu Data Services is rated 8.0. The top reviewer of Apache Hadoop writes "Handles huge data volumes and create your own workflows and tables but you need to have deeper knowledge". On the other hand, the top reviewer of VMware Tanzu Data Services writes "Reliable queueing functionality and versatile tool that can be used with any programming languages ". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Dremio, whereas VMware Tanzu Data Services is most compared with IBM MQ, Anypoint MQ, Apache Kafka and Red Hat AMQ. See our Apache Hadoop vs. VMware Tanzu Data Services report.

    See our list of best 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.