We performed a comparison between BigQuery and Oracle Autonomous Data 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."It's similar to a Hadoop cluster, except it's managed by Google."
"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."
"It has a well-structured suite of complimentary tools for data integration and so forth."
"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."
"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."
"As a cloud solution, it's easy to set up."
"The feature called calibrating the capacity is valuable."
"The product is serverless. We only need to write SQL queries to analyze the data. We need to pay based on the number of queries. The retrieval time is very less. Even if you write large queries, the tool is able to bring back data in a few seconds."
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"It is a stable and scalable solution."
"With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main reason we use it."
"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."
"A very good integration feature that restricts access to unauthorized people."
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
"The product is easy to use."
"The solution integrates well with Power BI."
"Some of the queries are complex and difficult to understand."
"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."
"The processing capability can be an area of improvement."
"I noticed recently it's more expensive now."
"The solution hinges on Google patterns so continued improvement is important."
"The product’s performance could be much faster."
"The initial setup could be improved making it easier to deploy."
"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."
"The initial setup was pretty complex. It was not easy."
"The installation process is complex. Oracle can make the installation process better."
"My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on top of a JSON file with multiple array columns or superset columns, those column values create some difficulty in Oracle."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"An improvement for us would be the inclusion of support for an internal IP, so we could use it directly with the VCN in Oracle Cloud."
"The solution lacks visibility options."
"One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace."
"It doesn't work well when you have unstructured data or you need online analytics. It is not as nice as Hadoop in these aspects."
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BigQuery is ranked 5th in Cloud Data Warehouse with 30 reviews while Oracle Autonomous Data Warehouse is ranked 10th in Cloud Data Warehouse with 16 reviews. BigQuery is rated 8.2, while Oracle Autonomous Data Warehouse is rated 8.6. 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 Oracle Autonomous Data Warehouse writes "A tool for data warehousing that offers scalability, stability, and ease of setup". BigQuery is most compared with Snowflake, Teradata, Vertica, Apache Hadoop and AWS Lake Formation, whereas Oracle Autonomous Data Warehouse is most compared with Oracle Exadata, Snowflake, Microsoft Azure Synapse Analytics, Amazon Redshift and Teradata. See our BigQuery vs. Oracle Autonomous Data Warehouse report.
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