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Google Cloud SQL vs VMware Tanzu Data Solutions comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Google Cloud SQL
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
23
Ranking in other categories
Database as a Service (DBaaS) (6th), Database Management Systems (DBMS) (9th)
VMware Tanzu Data Solutions
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
84
Ranking in other categories
Database Development and Management (6th), Relational Databases Tools (14th), Data Warehouse (8th), Message Queue (MQ) Software (5th)
 

Featured Reviews

Prathap Sankar - PeerSpot reviewer
Analytics Delivery Manager at Tredence Inc.
Gain control and flexibility with customizable tools but has slower performance
I am majorly working in Google Cloud SQL for building my applications Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed. The deployment model allows for…
Moisés Guillén - PeerSpot reviewer
VMware vSphere | Horizon View | Citrix Virtual Apps | Microsoft Intune | Azure | SCCM | Windows 365 at Adecco
Has improved server deployment speed and simplified Kubernetes cluster administration
My main use case for VMware Tanzu Data Solutions is Tanzu Basic TKB version 2.4 I focus on the creation of Kubernetes clusters with VMware Tanzu Data Solutions. VMware Tanzu Data Solutions has positively impacted my organization because it is efficient, easy, fast, and aids in the creation and…

Quotes from Members

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

Pros

"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."
"This is a stable solution and offers good performance."
"The solution is easy to use. I am impressed with the tool's features and functionality."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"Its most valuable feature is that it's scalable. I can start off with a base of a lot of data and move as much as I want and it's the same as if asked to do a lot of infrastructure changes."
"I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect."
"Google Cloud SQL is very easy to use and easy to set up; it brings the benefits of being simple to perform queries, store data that I needed to store, and extract data when I needed to extract it quite quickly, without having to set up a full database and queries around it."
"The initial setup is straightforward."
"The product is not complex; I do not have to create stored procedures, functions, or views."
"The most valuable feature is asynchronous calls, which are easy to configure."
"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."
"The product's reliability is the most valuable feature."
"Simple and straightforward admin portals: Made it easy for users and worked out excellently for our requirements"
"The product has been stable and I have never faced any kind of problems with it."
"The stability of this solution was very good."
"It's super easy to deploy and it also supports different languages and analytics."
 

Cons

"The customer support should be improved."
"The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."
"Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities perform better, as Google Cloud SQL takes more time to handle the same tasks."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."
"When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"The availability could be better."
"RabbitMQ is clearly better supported on Linux than it is on Windows. There are idiosyncrasies in the Windows version that are not there on Linux."
"Maintenance is time-consuming."
"The fact that a single queue can't be distributed across multiple instances/nodes is a major disadvantage."
"Scalability issues are present."
"It doesn't have any GUI-based monitoring tools."
 

Pricing and Cost Advice

"The pricing is very much an important factor as to why we use this solution."
"The solution is affordable."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"It is not expensive, especially considering the significant reduction in database management time."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"You need to pay extra costs for backup and replication."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"It is an open-source platform. Although, we have to pay for additional features."
"Tanzu Greenplum's pricing is really competitive and gives excellent value for money."
"Pricing is good compared to other products. It's fine."
"The solution's pricing is cost-effective as it does not involve significant expenses. Licensing is required only for the server, while clients do not need any licensing. Therefore, it proves to be a cost-efficient option."
"It is an open-source product."
"This is an open source solution."
"We are using the open-source version of this solution."
"The pricing is okay."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
13%
Educational Organization
8%
University
8%
Financial Services Firm
21%
Computer Software Company
10%
Manufacturing Company
7%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise9
By reviewers
Company SizeCount
Small Business30
Midsize Enterprise10
Large Enterprise49
 

Questions from the Community

What do you like most about Google Cloud SQL?
The implementation part of the product was easy.
What is your experience regarding pricing and costs for Google Cloud SQL?
We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.
What needs improvement with Google Cloud SQL?
Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive. From a user perspective, if Google Cloud SQL integrated AI directly into the query so tha...
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 do you like most about VMware RabbitMQ?
RabbitMQ provides access to SDKs for development and the ability to raise and log tickets if we encounter issues. We can integrate RabbitMQ using various languages like Java or Python using the pro...
 

Also Known As

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

Overview

 

Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
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