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 #20 with an average rating of 9.0, while Broadcom is ranked #12 with an average rating of 8.9. Amazon Web Services (AWS) holds a 1.2% mindshare in SQL, compared to Broadcom’s 1.3% 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

1,044 Views
1,034 Comparison Views

100% willing to recommend

VMware Tanzu Data Solutions

Read 89 VMware Tanzu Data Solutions reviews

9,944 Views
1,392 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: August 2026).

Buyer's Guide

Amazon Aurora Serverless vs. VMware Tanzu Data Solutions

August 2026

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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

20th

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

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Database Development and Management (5th), Data Warehouse (6th), Message Queue (MQ) Software (4th)

Mindshare comparison

As of August 2026, in the Relational Databases Tools category, the mindshare of Amazon Aurora Serverless is 1.2%, up from 0.3% compared to the previous year. The mindshare of VMware Tanzu Data Solutions is 1.3%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
VMware Tanzu Data Solutions	1.3%
Amazon Aurora Serverless	1.2%
Other	97.5%

Relational Databases Tools

Featured Reviews

Anibal Palacios

CTO at a consultancy with 11-50 employees

Database availability has improved with quick recovery and enhanced network setup

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 Aurora is used as it is an easier solution for our requirements and offers high availability. It allows us to…

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Karthik Shivaram

Sr. Manager at STI INFOTECH PVT LTD

Improved multi-cloud data management has simplified operations and supports seamless Kubernetes

From my perspective, the biggest challenge with VMware right now is the pricing. To be very honest, in many cases I find myself recommending alternative solutions instead of VMware. Even if those alternatives come with a bit more complexity, customers are often more willing to accept that than the current VMware pricing model. In the past, VMware used a socket-based licensing model, which was easier for customers to understand and budget for. Now the shift to a core-based licensing model has significantly increased costs for many environments, especially for organizations running modern high-core CPUs. One positive aspect of the new model is that VMware has bundled several components together. For example, earlier when deploying vSphere, customers also had to purchase vCenter separately for management. Now multiple components are packaged into a single SKU, which simplifies some aspects of procurement and deployment. While this consolidation has its benefits, the overall licensing and commercial costs remain very high. Pricing is not the only issue. I believe Broadcom also needs to reconsider its strategy in light of the current market conditions. The approach they are taking may be strategic from a business perspective, but from what I see in the field, it is leading to lost opportunities. Many customers who previously relied on VMware are now actively exploring alternative virtualization platforms. I’m not sure where this direction will ultimately lead, but based on my experience, it is already affecting adoption. Since you’ve been trying to reach me for some time—and we also had a discussion a couple of years ago—I hope this feedback helps Broadcom understand the current sentiment in the market and potentially make adjustments. Another important concern is the way features are bundled. In many cases, customers only need basic virtualization and high availability capabilities. However, the current packaging often includes additional features that they may not need. A good analogy is that if a customer only needs an entry-level car, we shouldn’t be forced to sell them a Rolls-Royce. VMware could benefit from adopting a more modular or à la carte licensing model, where customers can choose only the components they truly require. For example, if a customer only needs core virtualization functionality, they should be able to purchase just that. This would allow partners and solution providers to better align solutions with customer requirements and position VMware more competitively in the market. Another challenge I want to highlight is the pricing model based on U.S. dollars and the way multi-year licensing is handled. In many enterprise and government projects, customers prefer to commit to three-year or five-year licenses and pay the full amount upfront. However, in approximately 20% of the deals I work on, we lose opportunities because VMware only provides dollar-based pricing for the first year. When it comes to the following years, the contract requires renewals annually rather than allowing a fixed multi-year upfront payment. This approach is particularly problematic for government and public sector customers. Many of them are ready and willing to pay for three or five years in advance, but the current VMware model does not support that structure effectively. Because pricing is tied to the U.S. dollar and subject to yearly adjustments, VMware does not lock in pricing for the full term. From a customer’s perspective, this introduces uncertainty and makes procurement more complicated. Ideally, if a price is quoted—for example, $100 per year—it should remain consistent across a multi-year agreement. Customers would be comfortable committing to a five-year term if the price were fixed and predictable. Unfortunately, that flexibility is currently not available across VMware products, whether it is vSphere, VMware Tanzu solutions, or other offerings. For large enterprise environments, one-year commitments are usually not practical. Many enterprise customers prefer longer-term agreements for budgeting and procurement reasons. Even when they are willing to accept the higher cost associated with the core-based licensing model, the lack of a clear multi-year upfront option often becomes a deal-breaker.

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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

"The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure, and it is highly scalable with a favorable pricing model that greatly enhances our operational efficiency by eliminating the need to set specific thresholds and preventing client data access issues due to uneven growth."

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

"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."

"Aurora makes it easier for me to create an environment within the network, offering faster recovery and 100% availability by replicating databases across two availability zones, and its scalability features for peak workloads are very beneficial."

"Amazon Aurora Serverless helps in reducing costs by allowing scalable solutions that split read and write endpoints, effectively managing database load and saving on capacity costs compared to our previous solution."

"We have been using GemFire for a Telco project, which we need process network data in real time and meanwhile access some reference data, and GemFire has done a great job, as we have managed to process over 200,000 messages per second."

"The product's reliability is the most valuable feature."

"Reliability for the messages is key. RabbitMQ ensures your messages are safe. They are not deleted and stuff."

"Applying message queues in general has helped my company, BuzzNumber, to scale easily with the load."

"Very good and cost effective with very good customer support."

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

"This has improved our daily load process reducing the run time at least by three to four hours which made other departments within the organization to look for data from the Enterprise Data Warehouse."

"Legacy queuing systems have been replaced by RabbitMQ."

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."

"I'd like so see better scaling, better performance from in-memory databases, and a higher compression rate."

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

"Improve the ability to handle the large message load."

"I'd like to see more support for structured data and features related to queries on NoSQL keys, extra filters would be helpful."

"Hardware failure is a concern."

"Difficult to integrate with automated test and CICD Moving beyond basic configurations can be challenging Not clear how to implement durable subscriber connections Not clear how a Rabbit service restart allows subscriber auto re-connect Service cluster failover depends on shared disk infrastructure."

"Extra filters would be helpful."

"We ended up migrating our application out of Greenplum, along with a few other applications."

Pricing and Cost Advice

Information not available

"It is the best product with best fit for price/performance customer objectives."

"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."

"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."

"The pricing for RabbitMQ is reasonable. It is worth the cost."

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

"Since the tool is an open-source product, there is no need to pay anything."

More VMware Tanzu Data Solutions pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

31%

Comms Service Provider

10%

Financial Services Firm

Manufacturing Company

Construction Company

13%

Financial Services Firm

13%

Outsourcing Company

13%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	32
Midsize Enterprise	11
Large Enterprise	52

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 is your experience regarding pricing and costs for VMware Tanzu GemFire?

My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.

See all answers

What needs improvement with VMware Tanzu GemFire?

In terms of weak points in VMware Tanzu Data Solutions, pricing is always the root cause of people not wanting to renew licenses or do any upgrades.

See all answers

Comparisons

PlanetScale vs Amazon Aurora Serverless

Compared 43% of the time

Citus Data vs Amazon Aurora Serverless

Compared 18% of the time

CockroachDB vs Amazon Aurora Serverless

Compared 10% of the time

SQL Server vs Amazon Aurora Serverless

Compared 9% of the time

Oracle Database Cloud Service vs Amazon Aurora Serverless

Compared 6% of the time

More Amazon Aurora Serverless Competitors

Teradata vs VMware Tanzu Data Solutions

Compared 5% of the time

Nutanix Database Service vs VMware Tanzu Data Solutions

Compared 4% of the time

Snowflake vs VMware Tanzu Data Solutions

Compared 4% of the time

ActiveMQ vs VMware Tanzu Data Solutions

Compared 4% of the time

IBM MQ vs VMware Tanzu Data Solutions

Compared 4% of the time

More VMware Tanzu Data Solutions Competitors

Product Reports

Buyer's Guide

Relational Databases Tools

August 2026

Download Amazon Aurora Serverless product report

Buyer's Guide

VMware Tanzu Data Solutions

July 2026

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

August 2026

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