Struggling to choose between Hazelcast and Azure Cosmos DB? Both products offer unique advantages, making it a tough decision.
Hazelcast is a Development solution with tags like caching, processing-streams, clustering.
It boasts features such as Distributed in-memory data store, Low latency data access, Automatic sharding and rebalancing, ACID transactions, Querying and aggregation, Event journaling, Multi-datacenter replication, Web session clustering, Continuous query, Machine learning and pros including Fast performance, Easy scalability, High availability, Flexible deployment options, Open source, Rich ecosystem.
On the other hand, Azure Cosmos DB is a Ai Tools & Services product tagged with nosql, document-database, microsoft-azure, cloud-database.
Its standout features include 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 it shines with pros like High scalability and availability, Low latency worldwide access, Multiple APIs and SDKs, Automatic indexing and querying, Flexible data models, Serverless option reduces ops overhead.
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.
Hazelcast is an open source in-memory data grid that enables distribution of data and computation across servers for scalability, speed, and resilience. It is commonly used for caching, processing streams, and clustering.
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.