BigQuery vs IBM Db2 Warehouse comparison

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

"BigQuery's querying capabilities are very optimized for large datasets."

"There are some performance features like partitioning, which you can do based on an integer, and it improves the performance a lot."

"The feature called calibrating the capacity is valuable."

"BigQuery is a powerful tool for managing and analyzing large datasets. The versatility of BigQuery extends to its compatibility with external data visualization tools like Power BI and Tableau. This means you not only get query results but can also seamlessly integrate and visualize your data for better insights."

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

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

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

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

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

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

"Provides good security and reliability."

"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."

"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."

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

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

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

"With what I have seen in BigQuery, I had some response times problems, but then it is an analytical database and not a transactional database, so it comes with eventual consistency."

"The processing capability can be an area of improvement."

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

"BigQuery can be very expensive if not used properly. Introducing AI tools that would allow you to optimize the data extraction process is an area of serious improvement."

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

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

"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."

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

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

"I previously used DataStage, which I think is better than InfoSphere Warehouse."

"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."

"IBM Db2 Warehouse needs to improve its interface."

"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."

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

"The tool has competitive pricing."

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

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

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

"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."

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