BigQuery vs VMware Tanzu Data Solutions comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

BigQuery
Average Rating
8.0
Number of Reviews
32
Ranking in other categories
Cloud Data Warehouse (5th)
VMware Tanzu Data Solutions
Average Rating
8.0
Number of Reviews
81
Ranking in other categories
Database Development and Management (6th), Data Warehouse (5th), Message Queue (MQ) Software (3rd)
 

Mindshare comparison

As of July 2024, in the Cloud Data Warehouse category, the mindshare of BigQuery is 6.3%, down from 8.2% compared to the previous year. The mindshare of VMware Tanzu Data Solutions is 2.5%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse
Unique Categories:
No other categories found
Database Development and Management
3.0%
 

Featured Reviews

Saqib Manzar - PeerSpot reviewer
Nov 3, 2023
Efficient data warehouse solution for analytics and large-scale data processing with exceptional speed and user-friendly interface
In our workflow, we initiate the process by fetching data, followed by a preprocessing step to refine the data. We establish pipelines for seamless data flow. The ultimate objective is to transfer this processed data into BigQuery tables, enabling other teams, such as analytics or machine learning…
Jayanta Datta - PeerSpot reviewer
May 10, 2023
Very efficient at large scale analytics; lacks inbuilt machine-learning functions for complex use cases
I think the cloud version of VMware is still lacking significantly because we are using Snowflake or Redshift on the cloud. We have a lot of on-prem use cases and Greenplum is good for that but we also have a lot of cloud use cases and the solution is lacking in that sphere. A cloud-native version of Greenplum would simplify things by enabling the move from Greenplum to Greenplum. It would be helpful if they could include some inbuilt machine-learning functions for complex use cases. I'd also like to see some kind of integrated dashboarding within the product for visualization. For example, Power BI integration or Tableau integration so that we could create a quick dashboard without getting Power BI onboarded.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The product is serverless. We only need to write SQL queries to analyze the data. We need to pay based on the number of queries. The retrieval time is very less. Even if you write large queries, the tool is able to bring back data in a few seconds."
"Even non-coders can review the data in BigQuery."
"The query tool is scalable and allows for petabytes of data."
"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."
"BigQuery excels at data analysis. It processes vast amounts of information using its advanced architecture and sophisticated querying capabilities, making it crucial for critical insights and safe for handling sensitive data."
"The most valuable features of this solution, in my opinion, are speed and performance, as well as cost-effectiveness."
"The initial setup is straightforward."
"It has a well-structured suite of complimentary tools for data integration and so forth."
"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 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's super easy to deploy and it also supports different languages and analytics."
"The solution is stable."
"It is easy to use. The addition of more queues and more services can be managed very easily."
"The most valuable feature is asynchronous calls, which are easy to configure."
"The most valuable feature for us is horizontal scaling."
"I like the high throughput of 20K messages/sec, and that it supports multiple protocols."
 

Cons

"There is a good amount of documentation out there, but they're consistently making changes to the platform, and, like, their literature hasn't been updated on some plans."
"When it comes to queries or the code being executed in the data warehouse, the management of this code, like integration with the GitHub repository or the GitLab repository, is kind of complicated, and it's not so direct."
"Some of the queries are complex and difficult to understand."
"So our challenge in Yemen is convincing many people to go to cloud services."
"We'd like to see more local data residency."
"It would be helpful if they could provide some dashboards where you can easily view charts and information."
"We would like to be able to calibrate the solution to run on top of a raw file."
"For greater flexibility and ease of use, it would be beneficial if BigQuery offered more third-party add-ons and connectors, particularly for databases that don't have built-in integration options."
"they need to interact more with customers. They need to explain the features, especially when there are new releases of Greenplum. I know just from information I've found that it has other features, it can be used to for analytics, for integration with Big Data, Hadoop. They need to focus on this part with the customer."
"Implementing a circuit breaker scenario using RabbitMQ is complicated. This complexity arises because manual intervention is required to manage worker details and handle operations based on worker IP addresses."
"Initial setup is a little complex. It took around two weeks to deploy."
"The product is pretty hard to configure."
"If messages pile up until the space of the memory is full, then basically, the cluster goes down, and someone has to log in through the backend and purge all messages."
"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."
"Maintenance is time-consuming."
"They should improve on the ability to scale your queues in a very simple and elegant way with the same power that they have would be great."
 

Pricing and Cost Advice

"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."
"Price-wise, I think that is very reasonable."
"Its cost structure operates on a pay-as-you-go model."
"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 solution is pretty affordable and quite cheap in comparison to PDP or Cloudera."
"BigQuery is inexpensive."
"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."
"The platform is inexpensive."
"Pricing is good compared to other products. It's fine."
"It’s an open-source solution."
"We are using the open-source version of this solution."
"On a scale of one to five, with five being the most competitive pricing, I would rate this solution as a four."
"Tanzu Greenplum's pricing is really competitive and gives excellent value for money."
"This is an open source solution."
"It is the best product with best fit for price/performance customer objectives."
"The pricing for RabbitMQ is reasonable. It is worth the cost."
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Top Industries

By visitors reading reviews
Computer Software Company
17%
Financial Services Firm
13%
Manufacturing Company
12%
Retailer
7%
Financial Services Firm
29%
Computer Software Company
15%
Manufacturing Company
7%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about BigQuery?
The initial setup process is easy.
What needs improvement with BigQuery?
BigQuery should integrate with other tools, such as Cloud Logging and Local Studio, to enhance its capabilities further and enable powerful and innovative analyses.
How does IBM MQ compare with VMware RabbitMQ?
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 protocol...
What is your experience regarding pricing and costs for VMware Tanzu Greenplum?
It’s an open-source solution. There are no expenses for using it.
 

Also Known As

No data available
Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres
 

Learn More

 

Overview

 

Sample Customers

Information Not Available
General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
Find out what your peers are saying about BigQuery vs. VMware Tanzu Data Solutions and other solutions. Updated: May 2024.
792,098 professionals have used our research since 2012.