We performed a comparison between Citus Data and Oracle Database In-Memory 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."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."
"It's very straightforward to implement the solution. It took us two days to set up everything."
"You can use Citus Data to write complex scripts. I like its version upgrades and disaster recovery as well."
"Security is the most valuable feature."
"The solution's ROI is excellent."
"We use the tool for real-time data transfer for risk management purposes. In a trading system, conversions happen fast. We use the product to handle fast transactions with low latency."
"We can integrate it with any data sources as well."
"The scalability is very good."
"Oracle Database In-Memory is a suite of features that improves performance for real-time analytics and mixed workloads."
"The solution is very fast."
"I like Oracle because it is a backward-compatible solution."
"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."
"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."
"Technical support is below our expectations currently. It could be improved."
"Oracle Database In-Memory appliance-based solutions can be restrictive for some applications, as they may require more flexibility in the database design to be tuned and sized to the customer's needs."
"The platform’s pricing needs improvement."
"Oracle should include column store or advanced query optimization so a database can be optimized by enabling analytic queries to run faster."
"Lacks sufficient integration with other tools."
"It would be good if Oracle could reduce downtime when transferring from non-In-Memory to In-Memory."
"The query optimization and backup features should be added."
"We use some partitions in In-Memory. We have a very large table and a low dose. It is very expensive in data to load all of them into In-Memory. It takes up more memory slots in the server, as well as a lot of RAM. We use last partitions on the table. We always need to create a script and make a schedule that can load a last partition in In-Memory. Oracle doesn't have features to do this automatically. I would like them to allow us to load last partitions, as well as other table partitions, in In-Memory. I think a good feature would do that automatically, letting you see a table, load a large partition, and monitor loading memory. It's quite a good feature."
Citus Data is ranked 18th in Relational Databases Tools with 3 reviews while Oracle Database In-Memory is ranked 8th in Relational Databases Tools with 27 reviews. Citus Data is rated 8.0, while Oracle Database In-Memory is rated 8.8. 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 Oracle Database In-Memory writes "User friendly with great scalability but needs to move toward intelligent AI". Citus Data is most compared with CockroachDB, YugabyteDB, Amazon Aurora, SQL Server and MySQL, whereas Oracle Database In-Memory is most compared with SAP HANA, IBM Db2 Database, Progress OpenEdge RDBMS, SQL Server and Apache Derby. See our Citus Data vs. Oracle Database In-Memory report.
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