BigQuery vs IBM Db2 Warehouse comparison

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

"Even non-coders can review the data in BigQuery."

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

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

"The integrated data storage features are good."

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

"It stands out in efficiently handling internal actions without the need for manual intervention in tasks like building cubes and defining final dimensions."

"BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes."

"It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily."

"Some of the best features are stored procedures, parallelism, and different indexing strategies."

"The most valuable features of IBM Db2 Warehouse include its availability, easy integration, ability to deal with a large size of data, excellent performance with no delays, powerful security mechanisms, and effective support."

"IBM Db2 Warehouse is more resilient when dealing with business intelligence applications."

"The analytics engine is not bad at forecasting predictions."

"It can scale effectively as long as resources are available."

"The solution is stable."

"Provides good security and reliability."

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

"There is a limitation when copying data directly from BigQuery; it only supports up to ten MB when copying data to the clipboard."

"Some of the queries are complex and difficult to understand."

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

"When I open many of the Google Cloud products, I am in an environment that I do not feel familiar with; it is a little overwhelming."

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

"BigQuery can be very expensive if not used properly. Introducing AI tools that would allow you to optimize the data extraction process is an area of serious improvement."

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

"The primary challenges customers face with IBM Db2 Warehouse are related to its complexity in usage. It requires highly skilled professionals who understand Db2, and both training and support are challenging to obtain."

"The primary challenges customers face with IBM Db2 Warehouse are related to its complexity in usage. It requires highly skilled professionals who understand Db2, and both training and support are challenging to obtain."

"The biggest challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web."

"There were some initial challenges with IBM Db2 Warehouse about eight months ago when I worked in this environment. When I coordinated with IBM support, they mentioned that the memory was insufficient for our needs. Our business environment required significantly more memory than the previous cluster could provide. Consequently, we have worked closely with on-site IBM technical personnel to address this issue."

"In terms of improvement, IBM Db2 Warehouse should be more scalable."

"The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years."

"Responding to support tickets takes a lot of time. It can range from two to four days, even for critical issues."

"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."

"BigQuery is inexpensive."

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

"The product’s pricing could be more flexible for end users."

"1 TB is free of cost monthly. If you use more than 1 TB a month, then you need to pay 5 dollars extra for each TB."

"The solution's pricing is cheaper compared to other solutions."

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

"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."

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

"In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."