Minio vs RocksDB

Overview

RocksDB

Stacks141

Followers290

Votes11

GitHub Stars30.9K

Forks6.6K

Minio

Stacks641

Followers671

Votes43

GitHub Stars57.8K

Forks6.4K

Minio vs RocksDB: What are the differences?

Scalability: Minio is a high-performance, distributed object storage solution that is designed to scale horizontally. It allows for easy expansion of storage capacity by adding more nodes to the cluster. On the other hand, RocksDB is an embedded, persistent key-value store that is optimized for fast storage and retrieval of data on a single machine. It is not designed to be distributed or scalable like Minio.
Data Access: Minio provides a RESTful API that allows users to interact with the object storage system over HTTP. It supports standard HTTP methods like GET, PUT, POST, and DELETE to read, write, and manage objects. RocksDB, on the other hand, provides a C++ API for accessing data stored in the key-value store. It is primarily designed to be embedded within applications and accessed programmatically.
Durability: Minio ensures durability and high availability of data by replicating objects across multiple nodes in the distributed cluster. It uses erasure coding or mirroring techniques to protect against data loss. RocksDB, being a single-machine storage solution, does not provide built-in replication or data protection mechanisms like Minio.
Supported Data Types: Minio is specifically designed for storing and managing unstructured data in the form of objects, such as files, images, and videos. It provides features like versioning, metadata, and access control for objects. On the other hand, RocksDB is a key-value store that can store any type of data in the form of key-value pairs. It is more suitable for structured or semi-structured data, where key-based lookup and retrieval is required.
Consistency Model: Minio provides eventual consistency, which means that once a write is successful, subsequent reads may not immediately reflect the updated state due to distributed nature. This trade-off allows for high availability and scalability. RocksDB, being a single-machine storage solution, provides strong consistency where updates are always immediately visible to subsequent reads. This ensures strict data consistency at the cost of scalability and availability.
Use Cases: Minio is commonly used in cloud-native environments, where large amounts of unstructured data need to be stored and accessed with high scalability and availability. It is suitable for building applications like data lakes, backup and archival systems, and content delivery networks (CDNs). On the other hand, RocksDB is commonly used as an embedded storage engine within applications that require fast and efficient storage and retrieval of data in key-value format, such as databases, distributed file systems, and caching layers.

In Summary, Minio is a distributed object storage solution designed for high scalability and availability, while RocksDB is an embedded key-value storage engine optimized for fast storage and retrieval on a single machine.

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Advice on RocksDB, Minio

Dalton

Oct 23, 2020

Decided

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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Comments

Detailed Comparison

RocksDB	Minio
RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.	Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License
Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM;Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory;Scales linearly with number of CPUs so that it works well on ARM processors	-
Statistics
GitHub Stars 30.9K	GitHub Stars 57.8K
GitHub Forks 6.6K	GitHub Forks 6.4K
Stacks 141	Stacks 641
Followers 290	Followers 671
Votes 11	Votes 43
Pros & Cons
Pros 5 Very fast 3 Made by Facebook 2 Consistent performance 1 Ability to add logic to the database layer where needed	Pros 10 Store and Serve Resumes & Job Description PDF, Backups 8 S3 Compatible 4 Open Source 4 Simple 3 Lambda Compute Cons 3 Deletion of huge buckets is not possible
Integrations
No integrations available	Amazon S3

What are some alternatives to RocksDB, Minio?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Amazon S3

Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

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.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

Related Comparisons

Minio vs RocksDB: What are the differences?

Scalability: Minio is a high-performance, distributed object storage solution that is designed to scale horizontally. It allows for easy expansion of storage capacity by adding more nodes to the cluster. On the other hand, RocksDB is an embedded, persistent key-value store that is optimized for fast storage and retrieval of data on a single machine. It is not designed to be distributed or scalable like Minio.
Data Access: Minio provides a RESTful API that allows users to interact with the object storage system over HTTP. It supports standard HTTP methods like GET, PUT, POST, and DELETE to read, write, and manage objects. RocksDB, on the other hand, provides a C++ API for accessing data stored in the key-value store. It is primarily designed to be embedded within applications and accessed programmatically.
Durability: Minio ensures durability and high availability of data by replicating objects across multiple nodes in the distributed cluster. It uses erasure coding or mirroring techniques to protect against data loss. RocksDB, being a single-machine storage solution, does not provide built-in replication or data protection mechanisms like Minio.
Supported Data Types: Minio is specifically designed for storing and managing unstructured data in the form of objects, such as files, images, and videos. It provides features like versioning, metadata, and access control for objects. On the other hand, RocksDB is a key-value store that can store any type of data in the form of key-value pairs. It is more suitable for structured or semi-structured data, where key-based lookup and retrieval is required.
Consistency Model: Minio provides eventual consistency, which means that once a write is successful, subsequent reads may not immediately reflect the updated state due to distributed nature. This trade-off allows for high availability and scalability. RocksDB, being a single-machine storage solution, provides strong consistency where updates are always immediately visible to subsequent reads. This ensures strict data consistency at the cost of scalability and availability.
Use Cases: Minio is commonly used in cloud-native environments, where large amounts of unstructured data need to be stored and accessed with high scalability and availability. It is suitable for building applications like data lakes, backup and archival systems, and content delivery networks (CDNs). On the other hand, RocksDB is commonly used as an embedded storage engine within applications that require fast and efficient storage and retrieval of data in key-value format, such as databases, distributed file systems, and caching layers.

Minio vs RocksDB

Overview