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."The feature called calibrating the capacity is valuable."
"It has a well-structured suite of complimentary tools for data integration and so forth."
"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."
"The integrated data storage features are good."
"Even non-coders can review the data in BigQuery."
"I like that we can synch and run a large query. I also like that we can work with a large amount of data. You don't need to work separately, as it's a ready-made solution. It also comes with a built-in machine-learning feature. Once we start inputting the data, it will suggest some things related to the data, and we can come up with nice dashboards and statistics from a vast amount of data."
"The setup is simple."
"The most valuable features of this solution, in my opinion, are speed and performance, as well as cost-effectiveness."
"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."
"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."
"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 solution is stable."
"Provides good security and reliability."
"The analytics engine is not bad at forecasting predictions."
"The solution hinges on Google patterns so continued improvement is important."
"I rate BigQuery six out of 10 for affordability. It could be cheaper."
"We'd like to see more local data residency."
"Some of the queries are complex and difficult to understand."
"As a product, BigQuery still requires a lot of maturity to accommodate other use cases and to be widely acceptable across other organizations."
"They could enhance the platform's user accessibility."
"I understand that Snowflake has made some improvements on its end to further reduce costs, so I believe BigQuery can catch up."
"It would be helpful if they could provide some dashboards where you can easily view charts and information."
"In terms of improvement, IBM Db2 Warehouse should be more scalable."
"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."
"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."
"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."
"There should be more material available for training and training should be free."
"IBM Db2 Warehouse needs to improve its interface."
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.
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