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 stands out in efficiently handling internal actions without the need for manual intervention in tasks like building cubes and defining final dimensions."
"It's straightforward to set up."
"The integrated data storage features are good."
"The setup is simple."
"The product’s most valuable feature is its ability to manage the database on the cloud."
"We basically used it to store server data and generate reports for enterprise architects. It was a valuable tool for our enterprise design architect."
"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."
"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 analytics engine is not bad at forecasting predictions."
"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."
"Provides good security and reliability."
"I understand that Snowflake has made some improvements on its end to further reduce costs, so I believe BigQuery can catch up."
"There are some limitations in the query latency compared to what it was three years ago."
"The processing capability can be an area of improvement."
"There is a good amount of documentation out there, but they're consistently making changes to the platform, and, like, their literature hasn't been updated on some plans."
"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."
"The solution should reduce its pricing."
"The price could be better. Compared to competing solutions, BigQuery is expensive. It's only suitable for enterprise customers, not small and medium-sized businesses, as they cannot afford this kind of solution. In the next release, it would be better if they improved their AI bot. Although machine learning and artificial intelligence are doing wonders, there is still a lot of room to enhance them."
"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."
"Lacks sufficient documentation and particularly in Spanish."
"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 areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."
"IBM Db2 Warehouse needs to improve its interface."
"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 13th in Data Warehouse with 8 reviews. BigQuery is rated 8.2, while IBM Db2 Warehouse is rated 7.6. 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, Vertica and IBM Netezza Performance Server, whereas IBM Db2 Warehouse is most compared with Oracle Exadata, Snowflake, Amazon Redshift, Apache Hadoop and IBM Netezza Performance Server. See our BigQuery vs. IBM Db2 Warehouse report.
See our list of best Cloud Data Warehouse vendors.
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