Cassandra vs. DynamoDB: Comparison Table
Feature |
Cassandra |
DynamoDB |
---|---|---|
Type | Open-source, distributed NoSQL database designed for scalability and fault tolerance across geographically distributed clusters. | Fully managed NoSQL database by AWS, offering scalability, fault tolerance, high availability, and predictable performance. |
Data Model | Wide-column store architecture, allowing for flexible storage of various types of data with dynamic schemas. | Key-value store model storing data in the form of key-value pairs. |
Consistency | Offers tunable consistency levels, allowing for a balance between consistency and performance. | Provides strong consistency by default, ensuring that all copies of data are updated simultaneously. |
Partitioning | Requires manual partitioning, giving users control over how data is distributed across nodes in the cluster. | Utilizes automatic partitioning managed by AWS, simplifying the scaling process for users. |
Scalability | Supports horizontal scaling, enabling users to add more nodes to the cluster. | Offers horizontal scaling managed by AWS, automatically adjusting capacity to handle varying demand. |
Secondary Index | Supports secondary indexes, allowing for faster data retrieval based on frequently queried columns. | Supports both Global and Local Secondary Indexes, enhancing query flexibility and performance. |
ACID Compliance | Provides limited ACID compliance, offering atomicity, consistency, isolation, and durability to a certain extent. | Ensures ACID properties, providing strong data integrity and reliability. |
Query Language | Utilizes CQL (Cassandra Query Language) for interacting with the database, offering a familiar SQL-like syntax. | Accessed through AWS SDK and APIs, providing developers with programmatic access to database operations. |
Performanc | Known for high write and read throughput, making it suitable for real-time data-intensive applications. | Offers high write and read throughput, ensuring efficient data access and processing for various use cases. |
Cassandra vs DynamoDB: Top Differences
Selecting the correct database solution counts much in developing an app with high scalability and performance. Most commonly, traditional relational databases are not well-suited to manage huge volumes of data and its diversity which is an attribute of modern applications. NoSQL databases come in place here by providing dynamic schemas and horizontal scaling required for contemporary data management.
A comprehensive standpoint on two popular NoSQL solutions such as Apache Cassandra and Amazon DynamoDB is provided in this article. The core functionality, data models, consistency models, scalability strategies, and management considerations will be covered so that you can make a better choice based on your requirements