Aerospike vs RocksDB

Overview

Aerospike

Stacks200

Followers288

Votes48

GitHub Stars1.3K

Forks196

RocksDB

Stacks141

Followers290

Votes11

GitHub Stars30.9K

Forks6.6K

Aerospike vs RocksDB: What are the differences?

### Introduction

Key differences between Aerospike and RocksDB are outlined below:

### 1. Data Model:
Aerospike is a distributed, NoSQL database that stores data in a key-value format, allowing for easy retrieval and manipulation of data. In contrast, RocksDB is a key-value store that is optimized for flash and RAM storage, providing high performance and low latency for read-heavy workloads.

### 2. Storage Engine:
Aerospike uses an in-memory storage engine to achieve fast read and write operations, while also persisting data to disk for durability. RocksDB, on the other hand, is a persistent storage engine that writes data to disk in an efficient manner, making it suitable for applications that require high write throughput.

### 3. Consistency Model:
Aerospike provides strong consistency guarantees, ensuring that data is always up-to-date and accurate across all nodes in a cluster. RocksDB, on the other hand, offers eventual consistency, which allows for faster write operations at the expense of potential data inconsistencies that may need to be reconciled later.

### 4. Partitioning:
Aerospike automatically partitions data across nodes in a cluster, enabling horizontal scalability and fault tolerance. RocksDB does not offer built-in partitioning capabilities, requiring developers to handle data distribution and replication manually, which can be more complex and error-prone.

### 5. Language Support:
Aerospike provides robust client libraries for a variety of programming languages, making it easy to integrate with existing applications. RocksDB, on the other hand, primarily supports C++, with limited bindings available for other languages, potentially limiting its usage in certain development environments.

### 6. Use Cases:
Aerospike is well-suited for real-time, high-performance applications that require low latency and high availability, such as ad tech platforms and financial services. RocksDB, on the other hand, is better suited for embedded systems, caching layers, and applications that prioritize efficient disk utilization and write speed over network performance.

In Summary, Aerospike and RocksDB differ in their data models, storage engines, consistency models, partitioning strategies, language support, and use cases.

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CLI (Node.js)

Manual

Detailed Comparison

Aerospike	RocksDB
Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.	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.
99% of reads/writes complete in under 1 millisecond.;Predictable low latency at high throughput – second to none. Read the YCSB Benchmark.;The secret sauce? A thousand things done right. Server code in ‘C’ (not Java or Erlang) precisely tuned to avoid context switching and memory copies. Highly parallelized multi-threaded, multi-core, multi-cpu, multi-SSD execution.;Indexes are always stored in RAM. Pure RAM mode is backed by spinning disks. In hybrid mode, individual tables are stored in either RAM or flash.	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 1.3K	GitHub Stars 30.9K
GitHub Forks 196	GitHub Forks 6.6K
Stacks 200	Stacks 141
Followers 288	Followers 290
Votes 48	Votes 11
Pros & Cons
Pros 16 Ram and/or ssd persistence 12 Easy clustering support 5 Easy setup 4 Acid 3 Performance better than Redis	Pros 5 Very fast 3 Made by Facebook 2 Consistent performance 1 Ability to add logic to the database layer where needed

What are some alternatives to Aerospike, RocksDB?

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.

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.

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.

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

Aerospike vs RocksDB: What are the differences?

### Introduction

Key differences between Aerospike and RocksDB are outlined below:

### 1. Data Model:
Aerospike is a distributed, NoSQL database that stores data in a key-value format, allowing for easy retrieval and manipulation of data. In contrast, RocksDB is a key-value store that is optimized for flash and RAM storage, providing high performance and low latency for read-heavy workloads.

### 2. Storage Engine:
Aerospike uses an in-memory storage engine to achieve fast read and write operations, while also persisting data to disk for durability. RocksDB, on the other hand, is a persistent storage engine that writes data to disk in an efficient manner, making it suitable for applications that require high write throughput.

### 3. Consistency Model:
Aerospike provides strong consistency guarantees, ensuring that data is always up-to-date and accurate across all nodes in a cluster. RocksDB, on the other hand, offers eventual consistency, which allows for faster write operations at the expense of potential data inconsistencies that may need to be reconciled later.

### 4. Partitioning:
Aerospike automatically partitions data across nodes in a cluster, enabling horizontal scalability and fault tolerance. RocksDB does not offer built-in partitioning capabilities, requiring developers to handle data distribution and replication manually, which can be more complex and error-prone.

### 5. Language Support:
Aerospike provides robust client libraries for a variety of programming languages, making it easy to integrate with existing applications. RocksDB, on the other hand, primarily supports C++, with limited bindings available for other languages, potentially limiting its usage in certain development environments.

### 6. Use Cases:
Aerospike is well-suited for real-time, high-performance applications that require low latency and high availability, such as ad tech platforms and financial services. RocksDB, on the other hand, is better suited for embedded systems, caching layers, and applications that prioritize efficient disk utilization and write speed over network performance.

In Summary, Aerospike and RocksDB differ in their data models, storage engines, consistency models, partitioning strategies, language support, and use cases.

Aerospike vs RocksDB

Overview