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.
| Product | Market Share (%) |
|---|---|
| VMware Tanzu Data Solutions | 3.4% |
| Oracle Exadata | 16.5% |
| Teradata | 15.2% |
| Other | 64.9% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Warehouse | Aug 25, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Aug 25, 2025 | Download |
| Comparison | VMware Tanzu Data Solutions vs Snowflake | Aug 25, 2025 | Download |
| Comparison | VMware Tanzu Data Solutions vs Oracle Exadata | Aug 25, 2025 | Download |
| Comparison | VMware Tanzu Data Solutions vs Teradata | Aug 25, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| MuleSoft Anypoint Platform | 4.0 | N/A | 92% | 59 interviewsAdd to research |
| Teradata | 4.1 | 15.2% | 87% | 76 interviewsAdd to research |
VMware Tanzu Data customer service is often rated as excellent. Users find technical support generally good, citing quick responses and effective resolutions, though some mention initial support levels as not highly effective. Consultations and quick resolutions are appreciated, but advanced issue handling and technical expertise could improve. Support through online forums and documentation is deemed useful, yet areas requiring deep R&D support face challenges. Several customers prefer self-resolution using available open-source resources.
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 10 |
| Large Enterprise | 42 |
| Company Size | Count |
|---|---|
| Small Business | 141 |
| Midsize Enterprise | 86 |
| Large Enterprise | 375 |
VMware Tanzu Data Solutions was previously known as Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres.
General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
| Author info | Rating | Review Summary |
|---|---|---|
| Sr Data Analytics Consultant at Capgemini | 3.5 | I primarily use VMware Tanzu Data Solutions for creating functions and scripts required for reporting. It's user-friendly because it doesn't require complex stored procedures, functions, or views, though there is general room for improvement. I've used other cloud providers. |
| Senior Software Engineer at Capgemini | 4.5 | I value RabbitMQ's open-source nature and developer-friendly SDKs, but find implementing complex scenarios like circuit breakers challenging, prompting consideration of Anypoint MQ for its tighter integration within the Anypoint platform, despite concerns about optimization and vendor lock-in. |
| Senior Manager of Operations at a comms service provider with 10,001+ employees | 3.5 | We use VMware Tanzu Data Solutions as a stretched cache layer between data centers for active data accessibility. While the stretched cluster feature is valuable, we encountered timeouts during outages, indicating a need for improved reliability and timely node notifications. |
| Senior Director, Engineering at Tanla Solutions Ltd | 4.0 | I use VMware Tanzu Data Solutions for cloud-native development, utilizing RabbitMQ for its middleware performance. While effective, it lags behind competitors like Apache Pulsar and NATS in TPS and availability. Evaluating alternatives with better performance and commercial support. |
| Technical Lead at Cellulant Kenya | 4.0 | In our use of VMware Tanzu Data Solutions for asynchronous processing with RabbitMQ, we value its reliability and message retry features. While occasional downtimes occur, the ROI is substantial due to increased uptime and minimal ongoing costs. |
| Chief Operating Officer at Endurance Italia Srl | 5.0 | I use VMware Tanzu Data Solutions for internal development in my company, primarily utilizing RabbitMQ for internal communication. Its flexibility and resilience are valuable, but improved documentation is needed for better guidance on integrations. |
| Executive Director at Morgan Stanley | 3.5 | As a VMware Tanzu customer, I value its efficient optimizer, data retention policy, and analytics features. While ideal for on-prem tasks, its cloud capabilities lag, lacking native support and machine-learning functions. Greenplum offers fast analytics, albeit less expensive than Teradata. |
| Consultant at Pi DATACENTERS | 4.0 | No summary available |
