We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.
Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.
Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).
Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.
Citus is a distributed database that extends PostgreSQL, allowing you to continue using all the powerful Postgres features while still scaling.
Whether you're running into a ceiling on a single node, or need more performance for real-time analytical queries Citus can help.
Amazon Aurora is ranked 24th in Relational Databases while Citus Data is ranked 14th in Relational Databases with 1 review. Amazon Aurora is rated 0.0, while Citus Data is rated 9.0. On the other hand, the top reviewer of Citus Data writes "A solution that offers good scalability with a straightforward implementation process ". Amazon Aurora is most compared with SQL Server, Oracle Database Cloud Service, MariaDB, CockroachDB and IBM Db2 Database, whereas Citus Data is most compared with CockroachDB, SQL Server, Vertica, Oracle Database and MySQL.
See our list of best Relational Databases vendors.
We monitor all Relational Databases 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.