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."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."
"The initial setup process is easy."
"The query tool is scalable and allows for petabytes of data."
"It's straightforward to set up."
"The interface is what I find particularly valuable."
"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."
"Even non-coders can review the data in BigQuery."
"There are some performance features like partitioning, which you can do based on an integer, and it improves the performance a lot."
"The solution integrates well with Power BI."
"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."
"The product is easy to use."
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets."
"One advantage is that if you already have an Oracle Database, it easily integrates with that."
"The analytics have been very good. We've found them to be quite useful."
"The performance and scalability are awesome."
"I would like to see version-based implementation and a fallback arrangement for data stored in BigQuery storage. These are some features I'm interested in."
"As a product, BigQuery still requires a lot of maturity to accommodate other use cases and to be widely acceptable across other organizations."
"We'd like to see more local data residency."
"The process of migrating from Datastore to BigQuery should be improved."
"An area for improvement in BigQuery is its UI because it's not working very well. Pricing for the solution is also very high."
"There are some limitations in the query latency compared to what it was three years ago."
"They could enhance the platform's user accessibility."
"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."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"The initial setup was pretty complex. It was not easy."
"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."
"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."
"Ease of connectivity could be improved."
"The solution lacks visibility options."
"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."
"I would like to see an on-premise solution in the future."
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BigQuery is ranked 5th in Cloud Data Warehouse with 31 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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