Citus Data and Amazon Aurora compete in the database management systems category, with Amazon Aurora having a slight edge due to its extensive feature set.
Features: Citus Data utilizes PostgreSQL to enable horizontal scaling, focusing on distributed database capabilities for real-time analytics. It manages workload spikes effectively and provides sharding features. Amazon Aurora emphasizes high availability and automated scaling, targeting businesses that need cloud integration and high reliability.
Ease of Deployment and Customer Service: Citus Data ensures a straightforward deployment process with extensive support for enterprises handling complex data. Amazon Aurora offers a cloud-first deployment approach that eases provisioning and management, although it may require more initial learning. Its customer service effectively supports extensive cloud solutions.
Pricing and ROI: Citus Data is competitively priced with a lower entry cost and potential for significant ROI, particularly for users utilizing advanced sharding. Amazon Aurora, though initially more expensive, justifies its price through superior scalability and integration features, offering considerable long-term ROI, especially for organizations leveraging extensive cloud services.
| Product | Market Share (%) |
|---|---|
| Amazon Aurora | 3.0% |
| Citus Data | 2.6% |
| Other | 94.4% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 13 |
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.
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