BigQuery vs IBM Db2 Warehouse comparison

"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."

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

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

"Its integration with other tools like Atlan through a Google Chrome extension is highly beneficial."

"The product's most valuable features include its scalability and the ability to handle complex queries on large datasets."

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

"The initial setup process is easy."

"The best features of BigQuery for me are the fact that it's low-code, no-code; you don't have to be a data scientist to really utilize the tool."

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

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

"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."

"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."

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

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

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

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

"When I execute a query, the dashboard doesn't always present the output seamlessly."

"The product could benefit from improvements in user-friendliness, particularly in terms of the user interface."

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

"For greater flexibility and ease of use, it would be beneficial if BigQuery offered more third-party add-ons and connectors, particularly for databases that don't have built-in integration options."

"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."

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

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

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

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

"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."

"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."

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

"IBM Db2 Warehouse needs to improve its interface."

"The tool has competitive pricing."

"BigQuery is inexpensive."

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

"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."

"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."

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

"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."

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