We performed a comparison between BigQuery and IBM Db2 Warehouse based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."When integrating their system into the cloud-based solutions, we were able to increase their efficiency and overall productivity twice compared with their on-premises option."
"BigQuery excels at structuring data, performing predictions, and conducting insightful analyses and it leverages machine learning and artificial intelligence capabilities, powered by Google's Duarte AI."
"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."
"The solution's reporting, dashboard, and out-of-the-box capabilities match exactly our requirements."
"We basically used it to store server data and generate reports for enterprise architects. It was a valuable tool for our enterprise design architect."
"As a cloud solution, it's easy to set up."
"It's similar to a Hadoop cluster, except it's managed by Google."
"The interface is what I find particularly valuable."
"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."
"Provides good security and reliability."
"The analytics engine is not bad at forecasting predictions."
"The solution is stable."
"Some of the best features are stored procedures, parallelism, and different indexing strategies."
"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."
"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."
"We'd like to see more local data residency."
"They could enhance the platform's user accessibility."
"The processing capability can be an area of improvement."
"We'd like to have more integrations with other technologies."
"As a product, BigQuery still requires a lot of maturity to accommodate other use cases and to be widely acceptable across other organizations."
"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."
"Some of the queries are complex and difficult to understand."
"The solution hinges on Google patterns so continued improvement is important."
"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 should be more material available for training and training should be free."
"IBM Db2 Warehouse needs to improve its interface."
"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."
"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."
"Lacks sufficient documentation and particularly in Spanish."
"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."
"In terms of improvement, IBM Db2 Warehouse should be more scalable."
BigQuery is ranked 5th in Cloud Data Warehouse with 31 reviews while IBM Db2 Warehouse is ranked 12th in Data Warehouse with 9 reviews. BigQuery is rated 8.2, while IBM Db2 Warehouse is rated 7.8. The top reviewer of BigQuery writes "Expandable and easy to set up but needs more local data residency". On the other hand, the top reviewer of IBM Db2 Warehouse writes "Useful for ETL process and has good documentation ". BigQuery is most compared with Snowflake, Teradata, Oracle Autonomous Data Warehouse and Vertica, whereas IBM Db2 Warehouse is most compared with Oracle Exadata, Snowflake, Amazon Redshift and IBM Db2 Warehouse on Cloud. See our BigQuery vs. IBM Db2 Warehouse report.
See our list of best Cloud Data Warehouse vendors.
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
