BigQuery vs IBM Db2 Warehouse comparison

"BigQuery excels at structuring data, performing predictions, and conducting insightful analyses and it leverages machine learning and artificial intelligence capabilities, powered by Google's Duarte AI."

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

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

"The feature called calibrating the capacity is valuable."

"When integrating their system into the cloud-based solutions, we were able to increase their efficiency and overall productivity twice compared with their on-premises option."

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

"The setup is simple."

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

"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."

"Provides good security and reliability."

"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."

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

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

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

"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."

"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."

"The solution should reduce its pricing."

"I rate BigQuery six out of 10 for affordability. It could be cheaper."

"It can be slower and more problematic compared to other platforms such as Snowflake."

"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."

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

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

"An area for improvement in BigQuery is its UI because it's not working very well. Pricing for the solution is also very high."

"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."

"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."

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

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

"IBM Db2 Warehouse needs to improve its interface."

"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."

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

"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."

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

"BigQuery is inexpensive."

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

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

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

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

"The platform is inexpensive."

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