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."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's similar to a Hadoop cluster, except it's managed by Google."
"Even non-coders can review the data in BigQuery."
"BigQuery can be used for any type of company. It has the capability of building applications and storing data. It can be used for OLTP or OLAP. It has many other products within the Google space."
"The query tool is scalable and allows for petabytes of data."
"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."
"As a cloud solution, it's easy to set up."
"The solution's reporting, dashboard, and out-of-the-box capabilities match exactly our requirements."
"The performance and scalability are awesome."
"The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."
"Self-patching and runs machine-learning across its logs all the time"
"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."
"The product is easy to use."
"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."
"The solution integrates well with Power BI."
"There are some limitations in the query latency compared to what it was three years ago."
"I rate BigQuery six out of 10 for affordability. It could be cheaper."
"We'd like to see more local data residency."
"So our challenge in Yemen is convincing many people to go to cloud services."
"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."
"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."
"The solution hinges on Google patterns so continued improvement is important."
"I noticed recently it's more expensive now."
"The solution lacks visibility options."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"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."
"I would like to see an on-premise solution in the future."
"They should make the solution more user-friendly."
"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."
"Ease of connectivity could be improved."
"The initial setup was pretty complex. It was not easy."
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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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