BigQuery vs VMware Tanzu Greenplum comparison

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3,568 views|2,604 comparisons
100% willing to recommend
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2,089 views|1,712 comparisons
81% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between BigQuery and VMware Tanzu Greenplum based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed BigQuery vs. VMware Tanzu Greenplum 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
"The integrated data storage features are good.""It's pretty stable. It's fast, and it is able to go through large quantities of data pretty quickly.""The setup is simple.""The most valuable features of BigQuery is that it supports standard SQL and provides good performance.""It stands out in efficiently handling internal actions without the need for manual intervention in tasks like building cubes and defining final dimensions.""BigQuery is a powerful tool for managing and analyzing large datasets. The versatility of BigQuery extends to its compatibility with external data visualization tools like Power BI and Tableau. This means you not only get query results but can also seamlessly integrate and visualize your data for better insights.""The initial setup is straightforward.""It's straightforward to set up."

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"It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop.""The most valuable feature for us is horizontal scaling.""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.""Very fast for query processing.""A very good, open-source platform.""Scalable (Massive) Parallel Processing (MPP) – The ability to bring to bear large amounts of compute against large data sets with Greenplum and the EMC DCA has proven itself to be very effective.""It's super easy to deploy and it also supports different languages and analytics.""Helps us to achieve large-scale analytics."

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Cons
"Some of the queries are complex and difficult to understand.""The processing capability can be an area of improvement.""I would like to see version-based implementation and a fallback arrangement for data stored in BigQuery storage. These are some features I'm interested in.""The initial setup could be improved making it easier to deploy.""So our challenge in Yemen is convincing many people to go to cloud services.""The main challenges are in the areas of performance and cost optimizations.""As a product, BigQuery still requires a lot of maturity to accommodate other use cases and to be widely acceptable across other organizations.""We'd like to have more integrations with other technologies."

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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).""Maintenance is time-consuming.""The initial setup is somewhat complex and the out-of-the-box configuration requires optimization.""Extra filters would be helpful.""Initial setup is a little complex. It took around two weeks to deploy.""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.""Tanzu Greenplum's compression for GPText could be made more efficient."

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Pricing and Cost Advice
  • "I have tried my own setup using my Gmail ID, and I think it had a $300 limit for free for a new user. That's what Google is offering, and we can register and create a project."
  • "BigQuery is inexpensive."
  • "One terabyte of data costs $20 to $22 per month for storage on BigQuery and $25 on Snowflake. Snowflake is costlier for one terabyte, but BigQuery charges based on how much data is inserted into the tables. BigQuery charges you based on the amount of data that you handle and not the time in which you handle it. This is why the pricing models are different and it becomes a key consideration in the decision of which platform to use."
  • "The price is a bit high but the technology is worth it."
  • "The price could be better. Usually, you need to buy the license for a year. Whenever you want more, you can subscribe to it, and you can use it. Otherwise, you can terminate the license. You can use it daily or monthly, and we use it based on a project's requirements."
  • "The solution is pretty affordable and quite cheap in comparison to PDP or Cloudera."
  • "BigQuery pricing can increase quickly. It's a high-priced solution."
  • "The pricing is good and there are no additional costs involved."
  • More BigQuery 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:The initial setup process is easy.
    Top Answer:They could enhance the platform's user accessibility. Currently, the structure of BigQuery leans more towards catering to hard-code developers, making it less user-friendly for data analysts or… more »
    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
    5th
    Views
    3,568
    Comparisons
    2,604
    Reviews
    31
    Average Words per Review
    502
    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
    Greenplum, Pivotal Greenplum
    Learn More
    Overview

    BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.

    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
    Information Not Available
    General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
    Top Industries
    REVIEWERS
    Financial Services Firm11%
    Computer Software Company11%
    Comms Service Provider11%
    Transportation Company6%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm13%
    Manufacturing Company11%
    Retailer7%
    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 Business31%
    Midsize Enterprise21%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise67%
    REVIEWERS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    Buyer's Guide
    BigQuery vs. VMware Tanzu Greenplum
    March 2024
    Find out what your peers are saying about BigQuery vs. VMware Tanzu Greenplum and other solutions. Updated: March 2024.
    768,857 professionals have used our research since 2012.

    BigQuery is ranked 5th in Cloud Data Warehouse with 31 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. BigQuery is rated 8.2, while VMware Tanzu Greenplum is rated 7.8. The top reviewer of BigQuery writes "Expandable and easy to set up but needs more local data residency". 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". BigQuery is most compared with Snowflake, Teradata, Oracle Autonomous Data Warehouse, Vertica and IBM Db2 Warehouse, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Apache Hadoop and Presto. See our BigQuery vs. VMware Tanzu Greenplum report.

    See our list of best Cloud Data Warehouse vendors.

    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.