

VMware Tanzu Data Solutions and Amazon Aurora are competing in the cloud database space. Based on feedback, Amazon Aurora seems to have the upper hand, often perceived as the more robust option due to its features.
Features: VMware Tanzu Data Solutions offers an MPP architecture with capable processing speed and scalability. It supports ETL capabilities and various programming languages, with robust parallel processing and data distribution. Amazon Aurora excels in seamless AWS integration, high availability, continuous backups, and efficient performance, with built-in security and multiple read replicas.
Room for Improvement: VMware Tanzu Data Solutions could improve its scalability, stability, and backward compatibility, alongside better memory handling and latency management. Users express concerns about seamless upgrades and performance consistency. Amazon Aurora, while cost-efficient, needs enhancements in pricing, cryptography, and scaling capabilities, with some users seeking broader integration options and a more competitive cost structure.
Ease of Deployment and Customer Service: VMware Tanzu Data Solutions can be deployed on-premises, hybrid, and private clouds, offering versatility but potentially requiring more technical support. Amazon Aurora focuses on public cloud for simplified deployment. VMware Tanzu is praised for excellent tech support, whereas Amazon Aurora benefits from a larger AWS ecosystem.
Pricing and ROI: VMware Tanzu Data Solutions leverages an open-source model for cost-effective solutions, appealing from a pricing perspective, with optional paid support. Amazon Aurora, acknowledged for performance against cost, is seen as relatively expensive, possibly deterring budget-conscious clients. However, its managed service model adds value, justifying the investment by streamlining operations without managing on-prem infrastructure.
Using Amazon Aurora has saved us significantly in terms of manpower costs, with nearly fifty percent savings compared to an on-premises solution.
I have seen a return on investment with VMware Tanzu Data Solutions because of its speed and the robustness of the environment.
Technical support from Amazon is rated very highly.
The initial support could improve by having engineers familiarize themselves with the issue content to provide more specialized assistance from the start.
If anything happens in terms of technicalities and I raise a ticket, they address it immediately, irrespective of the SLA agreement.
Customer support for VMware Tanzu Data Solutions has been good with me and with VMware, including Broadcasts.
This scalability is critical as it allows for runtime expansion, which is essential for businesses moving from on-premises to the cloud.
Regarding scalability and the ability to scale, I would give it a 9.5 out of ten.
Most of our functions or jobs are queued due to that.
I would rate the stability of Amazon Aurora as a nine out of ten.
It offers a stable environment, ensuring consistent performance.
I have faced stability issues, mainly due to the storage my organization has, though I am not sure if it's specifically due to the tool.
A cost reduction would support multiple teams to adopt this solution since the cost is currently higher.
There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly.
Keeping extensions up-to-date with PostgreSQL releases would enhance Aurora's functionality.
They are losing business.
I think they must ensure compatibility with many cloud technologies, including those from the US and China, to make it more versatile in the future.
VMware Tanzu Data Solutions can be improved as it is better and faster for administration and clusters, Dockers, and Kubernetes.
Amazon Aurora is not very expensive as other solutions with similar features from other vendors come at almost the same cost.
The pricing is reasonable and not overly expensive.
The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper.
My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.
The functions I have found most valuable in Amazon Aurora PostgreSQL are features that are not available in normal RDS PostgreSQL, particularly for scaling and restoration purposes in the event of failure.
It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR.
Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our applications.
Kubernetes native application databases that are managed together allow scaling of application, database, storage, and networking to be automated.
The principal aspect is the creation of Kubernetes clusters.
VMware Tanzu Data Solutions has no limitation. We can meet the maximum customer requirements.
| Product | Mindshare (%) |
|---|---|
| Amazon Aurora | 3.2% |
| VMware Tanzu Data Solutions | 1.2% |
| Other | 95.6% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 11 |
| Large Enterprise | 50 |
Amazon Aurora offers a relational database service with high availability and compatibility with MySQL and PostgreSQL. It is designed for efficient scalability and seamless integration within AWS, making it optimal for applications requiring robust performance and reliability.
Amazon Aurora distinguishes itself through its managed maintenance, ensuring high operational efficiency. It provides users with the ability to auto-scale their database resources, allowing businesses to maintain cost efficiency without sacrificing performance. The service includes robust disaster recovery options and supports up to sixteen read replicas, which are critical for mission-critical applications. Users benefit from smooth, cross-region replication and integration capabilities with other AWS services, enhancing data reliability and accessibility.
What are the most important features of Amazon Aurora?Amazon Aurora is extensively used across various industries such as finance, e-commerce, and healthcare, supporting internal applications with its relational database prowess. Many organizations leverage its serverless capabilities and cost-effective scalability for developing business intelligence and payment processing solutions. The seamless migration assistance from Oracle databases further underscores its appeal for enterprises looking to optimize database performance and reduce operational costs.
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.
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