Amazon Aurora Serverless vs VMware Tanzu Data Solutions comparison

Amazon Web Services (AWS) and Broadcom are both solutions in the Relational Databases Tools category. Amazon Web Services (AWS) is ranked #22 with an average rating of 9.0, while Broadcom is ranked #12 with an average rating of 8.3. Amazon Web Services (AWS) holds a 0.4% mindshare in SQL, compared to Broadcom’s 0.4% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 89% of Broadcom users who would recommend it.

Amazon Aurora Serverless

Read 3 Amazon Aurora Serverless reviews

199 Views
193 Comparison Views

100% willing to recommend

VMware Tanzu Data Solutions

Read 83 VMware Tanzu Data Solutions reviews

3,677 Views
147 Comparison Views

89% willing to recommend

Amazon Aurora Serverless

VMware Tanzu Data Solutions

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 4, 2025

VMware Tanzu Data Solutions and Amazon Aurora Serverless compete in modern data management. Although VMware Tanzu Data Solutions has competitive pricing and support, Amazon Aurora Serverless leads with its advanced features despite higher costs.

Features: VMware Tanzu Data Solutions provides streamlined application development, efficient data integration, and robust security. Amazon Aurora Serverless is recognized for automated scaling, high availability, and MySQL/PostgreSQL compatibility, with automatic scaling as a key advantage.

Ease of Deployment and Customer Service: Amazon Aurora Serverless simplifies deployment with automated scaling and less maintenance, focusing on availability. VMware Tanzu Data Solutions necessitates more initial setup but offers notable support during deployment.

Pricing and ROI: VMware Tanzu Data Solutions is typically more cost-effective initially, appealing to cost-conscious enterprises. Amazon Aurora Serverless may have higher upfront costs but delivers significant ROI through scalability and reduced maintenance.

To learn more, read our detailed Amazon Aurora Serverless vs. VMware Tanzu Data Solutions Report (Updated: September 2025).

Buyer's Guide

Amazon Aurora Serverless vs. VMware Tanzu Data Solutions

September 2025

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Helped 867,676 peers since 2012

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

Amazon Aurora Serverless

Ranking in Relational Databases Tools

22nd

Average Rating

9.0

Reviews Sentiment

8.8

Number of Reviews

Ranking in other categories

No ranking in other categories

VMware Tanzu Data Solutions

Ranking in Relational Databases Tools

12th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Database Development and Management (5th), Data Warehouse (6th), Message Queue (MQ) Software (5th)

Mindshare comparison

As of September 2025, in the Relational Databases Tools category, the mindshare of Amazon Aurora Serverless is 0.4%, up from 0.0% compared to the previous year. The mindshare of VMware Tanzu Data Solutions is 0.4%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Market Share Distribution
Product	Market Share (%)
VMware Tanzu Data Solutions	0.4%
Amazon Aurora Serverless	0.4%
Other	99.2%

Relational Databases Tools

Featured Reviews

MohitGupta3

Cloud Infrastructure Architect - AWS at Infopro Digital

Seamless growth management through serverless efficiency and reasonable pricing

The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure. Additionally, it is highly scalable, and its pricing model is favorable. Aurora's automatic scaling greatly enhances our operational efficiency by eliminating the need to set specific thresholds and preventing client data access issues due to uneven growth. Its serverless setup allows us to manage costs effectively. Other notable features include direct integration with tools like SFTP Go for media file uploads, automatic backups ensuring data recovery, and its scalability in terms of handling growing database demands.

Read full review

Sushma Polavarapu

Sr Data Analytics Consultant at Capgemini

Create essential reporting scripts with simplicity but has some operational challenges

We mainly create functions and scripts required for reporting The product is not complex; I do not have to create stored procedures, functions, or views. It's just simple to use. There is general room for improvement. I have been using it for five years. I have faced stability issues, mainly…

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Quotes from Members

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

Pros

"Amazon Aurora Serverless is easy to scale, offering a cluster-based shared scaling model with options for Autoscale."

"Aurora could improve its affordability, even though its price is very completive compared to DBs as SLQ Server."

"The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure."

"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 provided SDKs."

"Simple and straightforward admin portals: Made it easy for users and worked out excellently for our requirements"

"The solution's best feature is its exceptional speed, delivering efficient utilization of resources."

"The product is not complex."

"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."

"We use VMware RabbitMQ to transfer information from one point to another."

"The product has been stable and I have never faced any kind of problems with it."

Cons

"Aurora could improve its affordability, as it is currently considered a bit expensive."

"Amazon Aurora Serverless could benefit from a few more security features, particularly in terms of its accessibility."

"Amazon Aurora could improve its detailed monitoring, especially in CloudWatch, to provide more precise query level insights."

"Tanzu Greenplum's compression for GPText could be made more efficient."

"Initial setup is a little complex. It took around two weeks to deploy."

"VMware RabbitMQ needs to create a new queue system."

"The installation is difficult and should be made easier."

"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."

"VMware RabbitMQ's configuration process could be easier to understand."

"The next release should include some of the flexibility and features that Kafka offers."

"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."

Pricing and Cost Advice

Information not available

"It is an open-source product."

"It is an open-source platform. Although, we have to pay for additional features."

"It’s an open-source solution."

"Tanzu Greenplum's pricing is really competitive and gives excellent value for money."

"The pricing is okay."

"The price is pretty good."

"are using the open-source version, which can be used free of cost."

"This is an open source solution."

More VMware Tanzu Data Solutions pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

22%

Computer Software Company

15%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	30
Midsize Enterprise	10
Large Enterprise	48

Questions from the Community

What is your experience regarding pricing and costs for Amazon Aurora Serverless?

In my experience, Aurora is a bit expensive. The costs depend on the size of the database.

See all answers

What needs improvement with Amazon Aurora Serverless?

Aurora could improve its affordability, as it is currently considered a bit expensive. There is room to make it more cost-effective for users even though its price is very completive compared to DB...

See all answers

What is your primary use case for Amazon Aurora Serverless?

I use Aurora mainly for creating and maintaining databases, such as Aurora (MySQL version) databases, within the system. I value it for its network security and quicker recovery options.

See all answers

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...

See all answers

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...

See all answers

What is your experience regarding pricing and costs for VMware RabbitMQ?

The product is free of cost.

See all answers

Comparisons

Citus Data vs Amazon Aurora Serverless

Compared 100% of the time

More Amazon Aurora Serverless Competitors

IBM MQ vs VMware Tanzu Data Solutions

Compared 17% of the time

Oracle Exadata vs VMware Tanzu Data Solutions

Compared 14% of the time

Red Hat AMQ vs VMware Tanzu Data Solutions

Compared 9% of the time

Oracle Essbase Cloud Service vs VMware Tanzu Data Solutions

Compared 7% of the time

Oracle Database Appliance vs VMware Tanzu Data Solutions

Compared 7% of the time

More VMware Tanzu Data Solutions Competitors

Product Reports

Buyer's Guide

Relational Databases Tools

August 2025

Download Amazon Aurora Serverless product report

Buyer's Guide

VMware Tanzu Data Solutions

August 2025

Download VMware Tanzu Data Solutions product report

Also Known As

No data available

Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres

Overview

Amazon Aurora Serverless is a flexible, on-demand database service that automatically scales based on application needs. It removes the need for database management, allowing businesses to focus on innovation and efficiency.

This database service provides automatic rescaling of compute capacity, which makes it uniquely suited to unpredictable workloads and applications with variable demand. It integrates seamlessly with existing AWS services and supports both MySQL and PostgreSQL, ensuring high availability and durability while reducing costs associated with over-provisioning of resources. Aurora Serverless dynamically adjusts capacity, providing a cost-effective and reliable solution for cloud-native applications and serverless architectures.

What are the key features of Amazon Aurora Serverless?

Automatic Scaling: Instantly adjusts capacity in response to demand.
Managed Infrastructure: Offloads database maintenance and management tasks.
High Availability: Provides multi-AZ support to ensure uptime and reliability.
MySQL and PostgreSQL Compatibility: Supports migrations and existing applications.
Pay-Per-Use: Charges are based on the exact resources utilized.

What benefits can be found in reviews of Amazon Aurora Serverless?

Cost Savings: Helps significantly reduce infrastructure expenses.
Operational Efficiency: Frees up time for the IT team for strategic projects.
Scalability: Easily accommodates fluctuating application demands.
Integration: Works seamlessly with AWS services, enhancing service reach.
Resiliency: Robust data protection features contribute to data security.

Amazon Aurora Serverless has been widely adopted across industries such as ecommerce and online media, where demand can vary greatly and unpredictably. For instance, ecommerce platforms benefit from auto-scaling during peak shopping seasons, ensuring uninterrupted service without incurring unnecessary costs during off-peak periods. Similarly, media companies leverage its auto-scaling capabilities to manage traffic spikes during events or breaking news.

Amazon Web Services (AWS)

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.

Broadcom

Sample Customers

Information Not Available

General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University

Buyer's Guide

Amazon Aurora Serverless vs. VMware Tanzu Data Solutions

September 2025

Free Report: Amazon Aurora Serverless vs. VMware Tanzu Data Solutions

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