BigQuery vs VMware Tanzu Data Solutions comparison

"The feature called calibrating the capacity is valuable."

"The product’s most valuable feature is its ability to manage the database on the cloud."

"I like that we can synch and run a large query. I also like that we can work with a large amount of data. You don't need to work separately, as it's a ready-made solution. It also comes with a built-in machine-learning feature. Once we start inputting the data, it will suggest some things related to the data, and we can come up with nice dashboards and statistics from a vast amount of data."

"It has a proprietary way of storing and accessing data in its own data store and is 100% managed without you needing to install anything. There is no need to arrange for any infrastructure to be able to use this solution."

"One of the most significant advantages lies in the decoupling of storage and compute which allows to independently scale storage and compute resources, with the added benefit of extremely cost-effective storage akin to object storage solutions."

"The most valuable features of this solution, in my opinion, are speed and performance, as well as cost-effectiveness."

"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."

"It's straightforward to set up."

"RabbitMQ will help to remove a lot of the complexities and create a loosely coupled codebase."

"The solution can scale."

"The most valuable feature for me is that it is open source. The licensing costs are really low and they are transparent."

"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."

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

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

"The most valuable feature for us is horizontal scaling."

"It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop."

"The processing capability can be an area of improvement."

"We'd like to have more integrations with other technologies."

"The initial setup could be improved making it easier to deploy."

"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."

"The price could be better. Compared to competing solutions, BigQuery is expensive. It's only suitable for enterprise customers, not small and medium-sized businesses, as they cannot afford this kind of solution. In the next release, it would be better if they improved their AI bot. Although machine learning and artificial intelligence are doing wonders, there is still a lot of room to enhance them."

"The product’s performance could be much faster."

"The process of migrating from Datastore to BigQuery should be improved."

"They could enhance the platform's user accessibility."

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

"The fact that a single queue can't be distributed across multiple instances/nodes is a major disadvantage."

"Lacks sufficient inbuilt machine-learning functions for complex use cases."

"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."

"The support feature could benefit from some improvement in terms of accessibility and responsiveness."

"Implementing a circuit breaker scenario using RabbitMQ is complicated. This complexity arises because manual intervention is required to manage worker details and handle operations based on worker IP addresses."

"Extra filters would be helpful."

"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."

"The tool has competitive pricing."

"BigQuery pricing can increase quickly. It's a high-priced solution."

"The price is a bit high but the technology is worth it."

"Price-wise, I think that is very reasonable."

"The pricing is adaptable, ensuring that organizations can tailor their usage and costs based on their specific requirements and configurations within the Google Cloud Platform."

"The platform is inexpensive."

"I have tried my own setup using my Gmail ID, and I think it had a $300 limit for free for a new user. That's what Google is offering, and we can register and create a project."

"The pricing appears to be competitive for the intended usage scenarios we have in mind."

"Pricing is good compared to other products. It's fine."

"The price is pretty good."

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

"The pricing is okay."

"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’s an open-source solution."

"The product is available for free use since it is an open-source technology."

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