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."As a cloud solution, it's easy to set up."
"The query tool is scalable and allows for petabytes of data."
"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."
"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."
"One of the most significant advantages lies in the decoupling of storage and compute which allows to independently scale storage and compute resources, with the added benefit of extremely cost-effective storage akin to object storage solutions."
"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."
"There are some performance features like partitioning, which you can do based on an integer, and it improves the performance a lot."
"BigQuery is a powerful tool for managing and analyzing large datasets. The versatility of BigQuery extends to its compatibility with external data visualization tools like Power BI and Tableau. This means you not only get query results but can also seamlessly integrate and visualize your data for better insights."
"Some of the best features are stored procedures, parallelism, and different indexing strategies."
"Provides good security and reliability."
"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."
"The analytics engine is not bad at forecasting predictions."
"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."
"For greater flexibility and ease of use, it would be beneficial if BigQuery offered more third-party add-ons and connectors, particularly for databases that don't have built-in integration options."
"There are some limitations in the query latency compared to what it was three years ago."
"The solution hinges on Google patterns so continued improvement is important."
"The process of migrating from Datastore to BigQuery should be improved."
"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."
"Some of the queries are complex and difficult to understand."
"So our challenge in Yemen is convincing many people to go to cloud services."
"When it comes to queries or the code being executed in the data warehouse, the management of this code, like integration with the GitHub repository or the GitLab repository, is kind of complicated, and it's not so direct."
"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."
"There should be more material available for training and training should be free."
"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."
"In terms of improvement, IBM Db2 Warehouse should be more scalable."
"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."
BigQuery is ranked 5th in Cloud Data Warehouse with 31 reviews while IBM Db2 Warehouse is ranked 14th 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 Teradata. 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.
