Cassandra vs Minio: What are the differences?
Introduction:
Cassandra and Minio are both popular storage solutions, but they have key differences that set them apart. In this comparison, we will highlight six distinctive features of each.
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Scalability: Cassandra is known for its ability to scale horizontally across multiple nodes, allowing it to handle large amounts of data without sacrificing performance. On the other hand, Minio is designed for scale-out storage and can be easily scaled horizontally by adding more drives.
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Data Model: Cassandra is a wide-column database that offers a flexible schema design, allowing for dynamic changes to the data structure. In contrast, Minio is an object storage system that organizes data as objects within buckets, similar to Amazon S3.
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Consistency: Cassandra supports tunable consistency levels, giving users the ability to choose between strong consistency and high availability. Minio, on the other hand, provides eventual consistency, ensuring high availability at the cost of potential data inconsistency.
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Data Replication: Cassandra utilizes a distributed architecture with data replication across multiple nodes, providing fault tolerance and high availability. Minio also supports data replication, but it uses erasure coding to distribute data across drives, reducing the storage overhead.
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Query Language: Cassandra uses Cassandra Query Language (CQL), a SQL-like language for interacting with the database. Minio, being an object storage system, does not have a dedicated query language and relies on its API and SDKs for data retrieval and manipulation.
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Durability and Persistence: Cassandra ensures durability by writing data to commit logs and memtables before flushing it to disk. It also supports replication and fault tolerance. Minio guarantees data persistence by writing objects to disks and using distributed erasure coding for redundancy.
In Summary, Cassandra excels in scalability, data modeling, and tunable consistency levels, while Minio offers scalability through scale-out storage, object-based data organization, and efficient data replication using erasure coding.