DBMS > LevelDB vs. LMDB vs. RocksDB

System Properties Comparison LevelDB vs. LMDB vs. RocksDB

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Editorial information provided by DB-Engines

Name

Description

Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values

A high performant, light-weight, embedded key-value database library

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Primary database model

Key-value store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	3.54
Rank	#98	Overall
	#17	Key-value stores

Score	2.99
Rank	#110	Overall
	#21	Key-value stores

Score	4.57
Rank	#87	Overall
	#13	Key-value stores

Website

github.com/google/leveldb

www.symas.com/symas-embedded-database-lmdb

rocksdb.org

Technical documentation

github.com/google/leveldb/blob/master/doc/index.md

github.com/facebook/rocksdb/wiki

Developer

Google

Symas

Facebook, Inc.

Initial release

2011

2013

Current release

1.23, February 2021

0.9.29, March 2021

7.10.2, March 2023

License

Commercial or Open Source

Open Source

BSD

Open Source

BSD

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

C++

Server operating systems

Illumos
Linux
OS X
Windows

Linux

Data scheme

schema-free

Typing

predefined data types such as float or date

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

SQL

Support of SQL

APIs and other access methods

C++ API
Java API

Supported programming languages

C++
Go
Java

3rd party binding
JavaScript (Node.js)

3rd party binding
Python

3rd party binding

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

with automatic compression on writes

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

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