We performed a comparison between Citus Data 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."It's very straightforward to implement the solution. It took us two days to set up everything."
"Its distributed processing capabilities are a standout feature. It requires minimal changes to get up and running if you already have a system on PostgreSQL. Citus can run in its natural state."
"You can use Citus Data to write complex scripts. I like its version upgrades and disaster recovery as well."
"The feature that we find most valuable is its ability to perform Massive Parallel Processing."
"Viewpoint, the detailed query logs and performance statistics are valuable features."
"The most valuable feature of Teradata is the quick processing of large data."
"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."
"Teradata's most valuable feature is that it's easy to use."
"The two types of partitioning have been very significant for us - row and columnar partitioning."
"Teradata's pretty fast."
"It has reduced a lot of reworking on maintaining indexes, partitions, etc."
"There are many areas of improvement , especially in terms of DDL query routing. Even though it's masterless, DDL queries need to be sent to the coordinator node. Also, setting up a multi-node environment could be more straightforward."
"Citus Data needs to improve its stability. Do not consider this product if you have the budget. It is still developing and has a lot of issues."
"More features in monitoring and the reporting could make it better."
"The cloud is the new challenge and the new opportunity."
"I'm not sure about the unstructured data management capabilities. It could be improved."
"Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
"The scalability could be better. The on-premises solution is always more complicated to scale."
"The user interface needs to be improved."
"Needs compatibility with more Big Data platforms."
"Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."
Citus Data is ranked 18th in Relational Databases Tools with 3 reviews while Teradata is ranked 7th in Relational Databases Tools with 54 reviews. Citus Data is rated 8.0, while Teradata is rated 8.2. The top reviewer of Citus Data writes "Efficiently handles high-traffic scenarios and compatible with PostgreSQL extensions, offering flexibility in database management". 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". Citus Data is most compared with YugabyteDB, CockroachDB, Amazon Aurora, SQL Server and MySQL, whereas Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and BigQuery. See our Citus Data 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.