BigQuery vs VMware Tanzu Data Solutions comparison

"The solution's reporting, dashboard, and out-of-the-box capabilities match exactly our requirements."

"The most valuable features of BigQuery is that it supports standard SQL and provides good performance."

"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."

"The solution is very useful nowadays for keeping a huge number of records."

"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 setup is simple."

"It's pretty stable. It's fast, and it is able to go through large quantities of data pretty quickly."

"Some of the most valuable features are publish and subscribe, fanout, and queues."

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

"The message routing is the most valuable feature. It is effective and flexible."

"Large amounts of data can be moved pretty fast using the solution."

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

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

"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."

"We have been able to set up a messaging system that facilitates data integration between the software modules that we sell."

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

"Instead of connecting directly to BigQuery, we connect to GCP, Cloud Run, and then to BigQuery, which is a long process."

"The main challenges are in the areas of performance and cost optimizations."

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

"There are some limitations in the query latency compared to what it was three years ago."

"The solution should reduce its pricing."

"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."

"This solution struggled with multi-regional synchronization."

"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."

"The debugging capabilities and testing flexibilities need to be improved."

"They should improve on the ability to scale your queues in a very simple and elegant way with the same power that they have would be great."

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

"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."

"We needed to configure additional plugins. While it was relatively easy to do this on-premises, it became more challenging in the cloud."

"VMware RabbitMQ needs to create a new queue system."

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

"The platform is inexpensive."

"The solution is pretty affordable and quite cheap in comparison to PDP or Cloudera."

"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."

"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."

"BigQuery is inexpensive."

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

"The product operates on a pay-for-use model. Costs include storage and query execution, which can accumulate based on data volume and complexity."

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

"are using the open-source version, which can be used free of cost."

"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."

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

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

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

"The pricing is okay."

"It is an open-source product."