We performed a comparison between BigQuery and Teradata Cloud 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’s most valuable feature is its ability to manage the database on the cloud."
"The setup is simple."
"The initial setup process is easy."
"The query tool is scalable and allows for petabytes of data."
"It has a proprietary way of storing and accessing data in its own data store and is 100% managed without you needing to install anything. There is no need to arrange for any infrastructure to be able to use this solution."
"It stands out in efficiently handling internal actions without the need for manual intervention in tasks like building cubes and defining final dimensions."
"We basically used it to store server data and generate reports for enterprise architects. It was a valuable tool for our enterprise design architect."
"The most valuable features of BigQuery is that it supports standard SQL and provides good performance."
"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."
"The most valuable feature is the ease of running queries."
"The product is reliable."
"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."
"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."
"I understand that Snowflake has made some improvements on its end to further reduce costs, so I believe BigQuery can catch up."
"The product’s performance could be much faster."
"They could enhance the platform's user accessibility."
"I noticed recently it's more expensive now."
"The main challenges are in the areas of performance and cost optimizations."
"Some of the queries are complex and difficult to understand."
"It could be a bit more user-friendly."
"Stability-wise, we have had some issues with automation and the ability to handle large datasets."
"The cost of Teradata Cloud Data Warehouse has room for improvement."
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BigQuery is ranked 5th in Cloud Data Warehouse with 31 reviews while Teradata Cloud Data Warehouse is ranked 13th in Cloud Data Warehouse with 3 reviews. BigQuery is rated 8.2, while Teradata Cloud Data Warehouse is rated 8.0. 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 Teradata Cloud Data Warehouse writes "Is quick, easy to upgrade, and cost-effective". BigQuery is most compared with Snowflake, Teradata, Oracle Autonomous Data Warehouse, Vertica and Apache Hadoop, whereas Teradata Cloud Data Warehouse is most compared with Snowflake, Amazon Redshift, Teradata, Oracle Exadata and Microsoft Azure Synapse Analytics. See our BigQuery vs. Teradata Cloud Data Warehouse report.
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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.
