BigQuery vs IBM Db2 Warehouse comparison

"It has a well-structured suite of complimentary tools for data integration and so forth."

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

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

"The initial setup is straightforward."

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

"The initial setup process is easy."

"The initial setup is simple."

"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."

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

"The solution is stable."

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

"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."

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

"Provides good security and reliability."

"I think it scales really well and as long as you take enough time to learn a little bit about it, it works really well."

"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."

"The solution hinges on Google patterns so continued improvement is important."

"When I execute a query, the dashboard doesn't always present the output seamlessly. Troubleshooting requires opening each pipeline individually, which is time-consuming."

"It would be helpful if they could provide some dashboards where you can easily view charts and information."

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

"There is a good amount of documentation out there, but they're consistently making changes to the platform, and, like, their literature hasn't been updated on some plans."

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

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

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

"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."

"There should be more material available for training and training should be free."

"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."

"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."

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

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

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

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

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

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

"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."

"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 tool has competitive pricing."

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