We performed a comparison between BigQuery and Teradata Cloud Data Warehouse based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse."The interface is what I find particularly valuable."
"As a cloud solution, it's easy to set up."
"The most valuable features of BigQuery is that it supports standard SQL and provides good performance."
"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."
"It stands out in efficiently handling internal actions without the need for manual intervention in tasks like building cubes and defining final dimensions."
"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."
"The most valuable features of this solution, in my opinion, are speed and performance, as well as cost-effectiveness."
"There are some performance features like partitioning, which you can do based on an integer, and it improves the performance a lot."
"The product is reliable."
"The most valuable feature is the ease of running queries."
"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."
"The initial setup could be improved making it easier to deploy."
"We would like to be able to calibrate the solution to run on top of a raw file."
"We'd like to have more integrations with other technologies."
"We'd like to see more local data residency."
"The process of migrating from Datastore to BigQuery should be improved."
"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."
"With other columnar databases like Snowflake, you can actually increase your VM size or increase your machine size, and you can buy more memory and it will start working faster, but that's not available in BigQuery. You have to actually open a ticket and then follow it up with Google support."
"Stability-wise, we have had some issues with automation and the ability to handle large datasets."
"It could be a bit more user-friendly."
"The cost of Teradata Cloud Data Warehouse has room for improvement."
More Teradata Cloud Data Warehouse Pricing and Cost Advice →
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 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.