BigQuery vs IBM Db2 Warehouse comparison

"The initial setup is simple."

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

"This solution is highly scalable."

"As a cloud solution, it's easy to set up."

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

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

"We like the machine learning features and the high-performance database engine."

"It has a proprietary way of storing and accessing data in its own data store and is 100% managed without you needing to install anything. There is no need to arrange for any infrastructure to be able to use this solution."

"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."

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

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

"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."

"The solution is stable."

"It would be beneficial if BigQuery could be made more affordable."

"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."

"As a product, BigQuery still requires a lot of maturity to accommodate other use cases and to be widely acceptable across other organizations."

"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."

"There are many tools that you have to use with BigQuery that are different services also provided for by Google. They need to all be integrated into BigQuery to make the solution easier to use."

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

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

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

"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."

"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 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 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."

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

"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."

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

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

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

"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."

"BigQuery 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."

"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 tool has competitive pricing."

"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."

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