BigQuery vs IBM Db2 Warehouse comparison

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

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

"The setup is simple."

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

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

"BigQuery has a very nice interface that you can easily learn if you know SQL."

"The most valuable aspect of BigQuery is its ability to handle high data workloads without causing friction with our online systems."

"This solution is highly scalable."

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

"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."

"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."

"The solution is stable."

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

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

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

"Provides good security and reliability."

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

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

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

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

"Sometimes, support specialists might not have enough experience or business understanding, which can be an issue."

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

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

"It would be beneficial if BigQuery could be made more affordable."

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

"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 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 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."

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

"Lacks sufficient documentation and particularly in Spanish."

"It takes a long time to have a new version or release, similar to Oracle."

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

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

"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."

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

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

"The platform is inexpensive."

"BigQuery is inexpensive."

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