BigQuery vs IBM Db2 Warehouse comparison

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

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

"BigQuery allows for very fast access, and it is efficient in handling large datasets compared to other SQL databases."

"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."

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

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

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

"The setup is simple."

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

"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 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."

"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."

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

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

"Provides good security and reliability."

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

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

"So our challenge in Yemen is convincing many people to go to cloud services."

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

"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."

"I understand that Snowflake has made some improvements on its end to further reduce costs, so I believe BigQuery can catch up."

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

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

"BigQuery should integrate with other tools, such as Cloud Logging and Local Studio, to enhance its capabilities further and enable powerful and innovative analyses."

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

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

"Lacks sufficient documentation and particularly in Spanish."

"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."

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

"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 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."

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

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

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

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

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

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

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

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

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