Hazelcast

Website

hazelcast.com

$ Details

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Categories

#Databases #NoSQL Databases #Key-Value Database #Relational Databases

Aerospike

Website

aerospike.com

$ Details

Categories

#Databases #NoSQL Databases #Key-Value Database #Graph Databases

Hazelcast features and specs

• Scalability
  Hazelcast is designed to scale out horizontally with ease by adding more nodes to the cluster, providing better performance and reliability in distributed environments.
• In-Memory Data Grid
  Hazelcast stores data in-memory, allowing for extremely fast data access and processing times, which is ideal for applications requiring low latency.
• High Availability
  Hazelcast offers built-in high availability with its data replication and partitioning features, ensuring data is not lost and the system remains operational during node failures.
• Ease of Use
  Hazelcast provides a simple and intuitive API, making it accessible to developers and quick to integrate with existing applications.
• Comprehensive Toolset
  Hazelcast offers a wide range of features including caching, messaging, and distributed computing, all in one platform, which simplifies the architecture by reducing the need for multiple tools.

Possible disadvantages of Hazelcast

• Memory Usage
  Since Hazelcast operates in-memory, it can consume significant amounts of memory, which may be a concern for applications with large datasets.
• Complexity in Large Deployments
  While Hazelcast offers scalability, managing and configuring a large-scale deployment can become complex and may require experienced personnel.
• License Cost
  The enterprise version of Hazelcast, which offers additional features and support, comes with a licensing cost that might not fit all budgets.
• Limited Language Support
  Hazelcast's strongest support is for Java. While it offers clients for other languages, they may not be as robust or feature-complete as the Java client.
• Network Latency
  In distributed environments, network latency can impact performance, and as Hazelcast relies on network communication for node interactions, this could be a concern in some scenarios.

Aerospike features and specs

• High Performance
  Aerospike is designed to provide low-latency data access even at high throughput levels, making it suitable for real-time applications.
• Scalability
  The database scales efficiently across multiple nodes, allowing it to handle large data volumes while maintaining performance.
• ACID Compliance
  Aerospike provides ACID properties at the record level, ensuring data consistency and reliability in transactions.
• Hybrid Storage
  Supports both in-memory and persistent storage, enabling efficient use of resources based on application needs.
• Strong Consistency
  Offers strong consistency models that ensure operations are viewed consistently, which is critical for certain applications.

Possible disadvantages of Aerospike

• Complexity
  Setting up and configuring Aerospike can be complex, requiring specialized knowledge, especially for optimization.
• Cost
  While Aerospike offers a community edition, the enterprise version can be costly, potentially impacting decisions for small organizations.
• Limited Query Capabilities
  Compared to some NoSQL databases, Aerospike has more limited querying features, focusing on key-value and secondary index lookups.
• Community Support
  Although the community around Aerospike is growing, it may not be as large or active as those of some other database systems.
• Complex Data Modeling
  The key-value data model can require significant adaptation for complex data that might be more naturally represented in relational databases.

Hazelcast Introduction and cluster demo

More videos:

Aerospike Demo of Aggregation Querying