We performed a comparison between BigQuery and Teradata 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 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's pretty stable. It's fast, and it is able to go through large quantities of data pretty quickly."
"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."
"As a cloud solution, it's easy to set up."
"The interface is what I find particularly valuable."
"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."
"The solution's reporting, dashboard, and out-of-the-box capabilities match exactly our requirements."
"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."
"Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information."
"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."
"It has a solid set of tools and consulting services."
"The functionality of the solution is excellent."
"It handles large amounts of information with a linear performance increase, in relation to a HW investment."
"Teradata's most valuable feature is that it's easy to use."
"Teradata's best feature is its speed with historical data."
"It would be helpful if they could provide some dashboards where you can easily view charts and information."
"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."
"I rate BigQuery six out of 10 for affordability. It could be cheaper."
"When it comes to queries or the code being executed in the data warehouse, the management of this code, like integration with the GitHub repository or the GitLab repository, is kind of complicated, and it's not so direct."
"It would be better if BigQuery didn't have huge restrictions. For example, when we migrate from on-premises to on-premise, the data which handles all ebook characters can be handled on-premise. But in BigQuery, we have huge restrictions. If we have some symbols, like a hash or other special characters, it won't accept them. Not in all cases, but it won't accept a few special characters, and when we migrate, we get errors. We need to use Regexp or something similar to replace that with another character. This isn't expected from a high-range technology like BigQuery. It has to adapt all products. For instance, if we have a TV Showroom, the TV symbol will be there in the shop name. Teradata and Apache Spark accept this, but BigQuery won't. This is the primary concern that we had. In the next release, it would be better if the query on the external table also had cache. Right now, we are using a GCS bucket, and in the native table, we have cache. For example, if we query the same table, it won't cost because it will try to fetch the records from the cached result. But when we run queries on the external table a number of times, it won't be cached. That's a major drawback of BigQuery. Only the native table has the cache option, and the external table doesn't. If there is an option to have an external table for cache purposes, it'll be a significant advantage for our organization."
"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."
"We would like to be able to calibrate the solution to run on top of a raw file."
"So our challenge in Yemen is convincing many people to go to cloud services."
"Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."
"I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement."
"Data synchronization to the DR site."
"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency."
"The setup is not straightforward."
"It needs a teaching web site with more training on third-party tools used for BI."
"There is some improvement required on OLTP level and some analytical function is missing."
"The following could be better: licensing, architecture openness, integration with other tools."
BigQuery is ranked 5th in Cloud Data Warehouse with 31 reviews while Teradata is ranked 3rd in Data Warehouse with 54 reviews. BigQuery is rated 8.2, while Teradata is rated 8.2. 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 writes "Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities". BigQuery is most compared with Snowflake, Oracle Autonomous Data Warehouse, Vertica, Apache Hadoop and AWS Lake Formation, whereas Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and Amazon Redshift. See our BigQuery vs. Teradata report.
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