We performed a comparison between Amazon Aurora and Teradata based on real PeerSpot user reviews.
Find out in this report how the two Relational Databases Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is the ability to do multiple-read and single-write. These are the kinds of features that we were interested in, and Aurora takes care of that natively."
"The most valuable feature of Amazon Aurora is SQL standardization, it doesn't have its own syntax which is good. It has a lot of hands-off self-management type of activities, such as log rolling and auto-scaling."
"The provision of custom read and write endpoints eliminates the need for managing a separate proxy load balancer."
"The solution’s scalability is good since we don’t need to take a maintenance window during unpredictable workloads. I like the solution’s behind-the-scenes happenings. It is a great feature."
"We had better control over the parameters that we could tweak in terms of intermediate storage and better indexing capabilities."
"The most valuable feature is that the maintainability is offloaded to the service provider. I don't have to maintain a database or do any administrative tasks, which comes in handy."
"Aurora's compatibility with MySQL or PostgreSQL benefited our database management. The migration from on-premise MySQL to Aurora was similar, so we didn't need to change our source code."
"The most valuable features are the Shared-nothing architecture and data protection functionality."
"Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools"
"It's very mature from a technology perspective."
"Teradata's capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."
"The most valuable feature of Teradata is security. It runs on Unix and Linux platforms which provide better security."
"It has reduced a lot of reworking on maintaining indexes, partitions, etc."
"I've never had any issues with scalability."
"Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available."
"The pricing could improve. It should be reduced."
"I would like to see more AI-related features in future releases."
"It is a bit costly. The features are quite good, and I wouldn't say it requires any technical improvements. But from a cost perspective, some clients wouldn't go for Aurora because of that."
"It would have been helpful if they had provided some benchmarking numbers."
"There is improvement needed to have more developer focus. Additionally, it would be helpful to have a stand-alone solution outside of Amazon. Amazon has a tendency to favor developing web-based clients, which may not always provide the fastest or most responsive solution as desired."
"I would like to see performance insights on the database based on the queries. Currently, we use SolarWinds as the monitoring tool. I would like to leverage SolarWinds’ performance insights in AWS services. SolarWinds gives larger insights when we run performance issues."
"The product's distributed query process for MySQL needs improvement."
"I think the UI is not there yet. It could be improved by being more user-friendly."
"The setup is not straightforward."
"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."
"Teradata can improve the way it handles big data and unstructured data."
"Needs compatibility with more Big Data platforms."
"Teradata's UI could be improved."
"Teradata hardly supports unstructured data or semi-structured data"
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
Amazon Aurora is ranked 11th in Relational Databases Tools with 7 reviews while Teradata is ranked 7th in Relational Databases Tools with 54 reviews. Amazon Aurora is rated 7.8, while Teradata is rated 8.2. The top reviewer of Amazon Aurora writes "Easy-to-manage platform with a valuable auto-scaling feature ". 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". Amazon Aurora is most compared with SQL Server, Oracle Database, MariaDB, CockroachDB and SingleStore, whereas Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and BigQuery. See our Amazon Aurora vs. Teradata report.
See our list of best Relational Databases Tools vendors.
We monitor all Relational Databases Tools 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.