BigQuery vs IBM Db2 Warehouse comparison

"BigQuery can be used for any type of company. It has the capability of building applications and storing data. It can be used for OLTP or OLAP. It has many other products within the Google space."

"The product is serverless. We only need to write SQL queries to analyze the data. We need to pay based on the number of queries. The retrieval time is very less. Even if you write large queries, the tool is able to bring back data in a few seconds."

"The integrated data storage features are good."

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

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

"BigQuery excels at data analysis. It processes vast amounts of information using its advanced architecture and sophisticated querying capabilities, making it crucial for critical insights and safe for handling sensitive data."

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

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

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

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

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

"Provides good security and reliability."

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

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

"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."

"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."

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

"There are areas that could be improved with BigQuery, such as more bolt-on capabilities and the ability to use more bolt-ons for APIs."

"The process of migrating from Datastore to BigQuery should be improved."

"With other columnar databases like Snowflake, you can actually increase your VM size or increase your machine size, and you can buy more memory and it will start working faster, but that's not available in BigQuery. You have to actually open a ticket and then follow it up with Google support."

"The product’s performance could be much faster."

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

"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."

"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."

"Lacks sufficient documentation and particularly in Spanish."

"IBM Db2 Warehouse needs to improve its interface."

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

"BigQuery is inexpensive."

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

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

"The platform is inexpensive."

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

"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."

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

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