SSDB is a NoSQL database implemented in C++. The goal of SSDB is to substitute, or work together with Redis. It supports multiple data structures. Its low-level storage engine is based on Google LevelDB.


SSDB was originally an individual open-source project. It was started by Zuyang Wu in 2013, aiming to work as an alternative for Redis. Currently, SSDB is being used in many productive environments to replace Redis, including several well-known companies and startups.

Query Interface

Custom API Command-line / Shell

Firstly, SSDB supports a set of shell commands to execute queries. Secondly, SSDB provides custom APIs for a wide range of programming languages, including C#, C++, Erlang, Go, Java, Lua, PHP, Python, Ruby, Swift. Besides, developers can use the Redis client to connect the server with REdis Serialization Protocol. The command set of SSDB is similar to that in Redis.

Concurrency Control

Not Supported

SSDB does not support concurrency control, because operations are executed individually and there is no transaction. However, unlike Redis, SSDB supports multi-threads to avoid write operations blocking read operations (since 1.5.2). All write operations are executed in a single thread while read operations are executed in other threads.


Logical Logging

SSDB supports logical logging for its operations. It has multiple logging levels. The log file will change its name and create a new log file when exceeding the size limitation.


Not Supported

Join operations are not supported based on the document.

Storage Model

N-ary Storage Model (Row/Record)

SSDB uses the storage model in LevelDB, where data is saved in sorted key-value pairs.

Query Execution

Tuple-at-a-Time Model

SSDB implements three separate iterator classes for key-value, hashmap and sorted set.

Stored Procedures

Not Supported


Skip List Log-Structured Merge Tree

SSDB uses LevelDB as its storage engine. Operations on different data types are based on the implementation of LevelDB. LevelDB uses Log-Structured Merge Tree for data storage, and Skip List for memtable.

Storage Architecture


SSDB is a disk-oriented database. The key difference between Redis and SSDB is that Redis uses mainly in-memory storage while SSDB stores data in the disk. Therefore, SSDB can store 100 times data in Redis for each node.



SSDB provides the ssdb-dump tool for checkpointing and recovery. It also supports export and import commands to save and restore the database from the client side.

Data Model


SSDB supports four main data types, which are key-value, hashmap, sorted set and list. The key-value data type is used to store data with no strong relations. The hashmap is used to store data in different sets with counting and sorting based on the key value. Sorted set sorts all entries based on a score integer, and unlike key-value and hashmap, it cannot be used to store large data. List stores data in the queue structure.

System Architecture


SSDB is a single-node database management system. Initially, the server does not share anything with other nodes. However, as SSDB supports Redis API, developers can directly use Twemproxy to manage a number of SSDB servers. Besides, it is also workable to use the combination of Redis and SSDB.

Query Compilation

Not Supported

No query compilation is found in SSDB.


Dictionary Encoding

SSDB supports data compression using Snappy. Snappy is an open-source data compression library developed by Google. It is used in both Google's internal tools and several famous open-source databases, including Cassandra, MongoDB, and LevelDB. SSDB naturally supports Snappy as it uses LevelDB for low-level storage. In LevelDB, developers should explicitly set parameters to use Snappy in the compile time. Since version 1.6.2, SSDB changes this feature by directly integrating the source code of Snappy to the project. By default, SSDB will use Snappy, but users can explicitly choose to use a non-compression version. SSDB with Snappy compression is compatible with non-compression data.

Storage Organization


SSDB uses the LevelDB storage, whose key organization is the log-structured merge tree.


Source Code

Tech Docs


Zuyang Wu

Country of Origin


Start Year


Project Type

Open Source

Written in


Supported languages

C#, C++, Erlang, Go, Java, Lua, PHP, Python, Ruby, Swift

Embeds / Uses


Compatible With


Operating Systems

BSD, iOS, Linux, OS X, Windows