BigQuery vs IBM Db2 Warehouse comparison

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

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

"The solution is very useful nowadays for keeping a huge number of records."

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

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

"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."

"One of the most significant advantages lies in the decoupling of storage and compute which allows to independently scale storage and compute resources, with the added benefit of extremely cost-effective storage akin to object storage solutions."

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

"The solution is stable."

"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."

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

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

"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."

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

"Provides good security and reliability."

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

"We would like to be able to calibrate the solution to run on top of a raw file."

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

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

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

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

"We'd like to see more local data residency."

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

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

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

"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."

"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."

"IBM Db2 Warehouse needs to improve its interface."

"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."

"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."

"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."

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

"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."

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

"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."