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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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

Advice on Cassandra and Minio
Vinay Mehta
Needs advice
on
CassandraCassandra
and
ScyllaDBScyllaDB

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.

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Replies (4)
Recommends
on
ScyllaDBScyllaDB

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

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Alex Peake
Recommends
on
CassandraCassandra

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.

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Pankaj Soni
Chief Technical Officer at Software Joint · | 2 upvotes · 161K views
Recommends
on
CassandraCassandra

i love syclla for pet projects however it's license which is based on server model is an issue. thus i recommend cassandra

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Recommends
on
ScyllaDBScyllaDB

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.

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Decisions about Cassandra and Minio

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.

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Pros of Cassandra
Pros of Minio
  • 119
    Distributed
  • 98
    High performance
  • 81
    High availability
  • 74
    Easy scalability
  • 53
    Replication
  • 26
    Reliable
  • 26
    Multi datacenter deployments
  • 10
    Schema optional
  • 9
    OLTP
  • 8
    Open source
  • 2
    Workload separation (via MDC)
  • 1
    Fast
  • 10
    Store and Serve Resumes & Job Description PDF, Backups
  • 8
    S3 Compatible
  • 4
    Simple
  • 4
    Open Source
  • 3
    Encryption and Tamper-Proof
  • 3
    Lambda Compute
  • 2
    Private Cloud Storage
  • 2
    Pluggable Storage Backend
  • 2
    Scalable
  • 2
    Data Protection
  • 2
    Highly Available
  • 1
    Performance

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Cons of Cassandra
Cons of Minio
  • 3
    Reliability of replication
  • 1
    Size
  • 1
    Updates
  • 3
    Deletion of huge buckets is not possible

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What is Cassandra?

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

What is Minio?

Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License

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What companies use Cassandra?
What companies use Minio?
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What tools integrate with Cassandra?
What tools integrate with Minio?

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What are some alternatives to Cassandra and Minio?
HBase
Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
Google Cloud Bigtable
Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Couchbase
Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
See all alternatives