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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.
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.
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.
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.
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.
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.
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.
The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.
The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.
Scylla can handle 1M/s events with a simple data model quite easily. The api to query is CQL, we have REST api but that's for control/monitoring
Cassandra is quite capable of the task, in a highly available way, given appropriate scaling of the system. Remember that updates are only inserts, and that efficient retrieval is only by key (which can be a complex key). Talking of keys, make sure that the keys are well distributed.
i love syclla for pet projects however it's license which is based on server model is an issue. thus i recommend cassandra
By 55M do you mean 55 million entity changes per 2 minutes? It is relatively high, means almost 460k per second. If I had to choose between Scylla or Cassandra, I would opt for Scylla as it is promising better performance for simple operations. However, maybe it would be worth to consider yet another alternative technology. Take into consideration required consistency, reliability and high availability and you may realize that there are more suitable once. Rest API should not be the main driver, because you can always develop the API yourself, if not supported by given technology.
Minio is a free and open source object storage system. It can be self-hosted and is S3 compatible. During the early stage it would save cost and allow us to move to a different object storage when we scale up. It is also fast and easy to set up. This is very useful during development since it can be run on localhost.
Pros of Cassandra
- Distributed119
- High performance98
- High availability81
- Easy scalability74
- Replication53
- Reliable26
- Multi datacenter deployments26
- Schema optional10
- OLTP9
- Open source8
- Workload separation (via MDC)2
- Fast1
Pros of Minio
- Store and Serve Resumes & Job Description PDF, Backups10
- S3 Compatible8
- Simple4
- Open Source4
- Encryption and Tamper-Proof3
- Lambda Compute3
- Private Cloud Storage2
- Pluggable Storage Backend2
- Scalable2
- Data Protection2
- Highly Available2
- Performance1
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Cons of Cassandra
- Reliability of replication3
- Size1
- Updates1
Cons of Minio
- Deletion of huge buckets is not possible3