BigQuery vs VMware Tanzu Data Services comparison

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

"We like the machine learning features and the high-performance database engine."

"The query tool is scalable and allows for petabytes of data."

"It's similar to a Hadoop cluster, except it's managed by Google."

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

"We basically used it to store server data and generate reports for enterprise architects. It was a valuable tool for our enterprise design architect."

"As a cloud solution, it's easy to set up."

"The integrated data storage features are good."

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

"Companies can scale the solution, so long as they have server room."

"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."

"Very sophisticated routing control and priority messaging capabilities"

"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."

"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."

"The most valuable feature is asynchronous calls, which are easy to configure."

"A very good, open-source platform."

"We would like to be able to calibrate the solution to run on top of a raw file."

"I would like to see version-based implementation and a fallback arrangement for data stored in BigQuery storage. These are some features I'm interested in."

"I understand that Snowflake has made some improvements on its end to further reduce costs, so I believe BigQuery can catch up."

"I noticed recently it's more expensive now."

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

"When it comes to queries or the code being executed in the data warehouse, the management of this code, like integration with the GitHub repository or the GitLab repository, is kind of complicated, and it's not so direct."

"As a product, BigQuery still requires a lot of maturity to accommodate other use cases and to be widely acceptable across other organizations."

"The solution should reduce its pricing."

"They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often."

"The product needs to focus on offering more use case documentation because browsing the internet to find it can be a process filled with struggles."

"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."

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

"Maintenance is time-consuming."

"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."

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

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

"The platform is inexpensive."

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

"The pricing is good and there are no additional costs involved."

"One terabyte of data costs $20 to $22 per month for storage on BigQuery and $25 on Snowflake. Snowflake is costlier for one terabyte, but BigQuery charges based on how much data is inserted into the tables. BigQuery charges you based on the amount of data that you handle and not the time in which you handle it. This is why the pricing models are different and it becomes a key consideration in the decision of which platform to use."

"The price could be better. Usually, you need to buy the license for a year. Whenever you want more, you can subscribe to it, and you can use it. Otherwise, you can terminate the license. You can use it daily or monthly, and we use it based on a project's requirements."

"The tool has competitive pricing."

"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."

"Its cost structure operates on a pay-as-you-go model."

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

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

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

"The price is pretty good."

"It is an open-source product."

"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."

"On a scale of one to five, with five being the most competitive pricing, I would rate this solution as a four."