Struggling to choose between Azure Cosmos DB and Postgres-XC? Both products offer unique advantages, making it a tough decision.
Azure Cosmos DB is a Ai Tools & Services solution with tags like nosql, document-database, microsoft-azure, cloud-database.
It boasts features such as Globally distributed database, Multiple data models (document, key-value, wide-column, graph), Automatic indexing and querying, Multi-master replication, Tunable consistency levels, Serverless or provisioned throughput, SLAs for high availability, Encryption at rest and in transit and pros including High scalability and availability, Low latency worldwide access, Multiple APIs and SDKs, Automatic indexing and querying, Flexible data models, Serverless option reduces ops overhead.
On the other hand, Postgres-XC is a Databases product tagged with clustering, scalability, high-availability, open-source.
Its standout features include Shared-nothing architecture for horizontal scalability, Automatic query routing and parallelization, Support for distributed transactions, Automatic failover and load balancing, Support for table partitioning across nodes, Support for multi-master and master-standby clusters, and it shines with pros like Scales horizontally to handle large workloads, Provides high availability through redundancy, Good performance through parallel query execution, Open source with community support.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Azure Cosmos DB is a globally distributed, multi-model database service by Microsoft for mission-critical applications. It supports document, key-value, wide-column, and graph databases, and provides APIs for multiple platforms.
Postgres-XC is an open source, shared-nothing clustering extension for PostgreSQL. It provides horizontal scalability across multiple nodes for handling large workloads and high availability through automatic failover.