DBMS > LevelDB vs. Oracle Berkeley DB vs. Redis

System Properties Comparison LevelDB vs. Oracle Berkeley DB vs. Redis

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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

Widely used in-process key-value store

In-memory data structure store, used as database, cache and message broker info

Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.

Primary database model

Key-value store

Key-value store info

supports sorted and unsorted key sets
Native XML DBMS info

in the Oracle Berkeley DB XML version

Key-value store info

Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence

Secondary database models

Document store info

with Redis Modules
Graph DBMS info

with Redis Modules
Search engine info

with Redis Modules
Time Series DBMS info

with Redis Modules

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

Score	3.29
Rank	#82	Overall
	#14	Key-value stores

Score	3.04
Rank	#87	Overall
	#15	Key-value stores
	#3	Native XML DBMS

Score	144.26
Rank	#8	Overall
	#1	Key-value stores

Website

github.com/google/leveldb

www.oracle.com/technetwork/database/database-technologies/berkeleydb/overview/index.html

redis.io

Technical documentation

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

docs.oracle.com/cd/E17076_05/html/index.html

redis.io/documentation

Developer

Google

Oracle

originally developed by Sleepycat, which was acquired by Oracle

Salvatore Sanfilippo info

Development sponsored by Redis Labs

Initial release

2011

1994

2009

Current release

1.22, May 2019

18.1 (Core), June 2018

5.0.5, May 2019

License

Commercial or Open Source

Open Source info

BSD

Open Source info

commercial license available

Open Source info

BSD 3-Clause, commercial license available

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

C, Java, C++ (depending on the Berkeley DB edition)

Server operating systems

Illumos
Linux
OS X
Windows

AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows

BSD
Linux
OS X
Windows info

ported and maintained by Microsoft Open Technologies, Inc.

Data scheme

schema-free

Typing

predefined data types such as float or date

partial

Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes

XML support info

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

yes

only with the Berkeley DB XML edition

Secondary indexes

yes

with RediSearch module

SQL

Support of SQL

yes

SQL interfaced based on SQLite is available

APIs and other access methods

C++ API
Go
Java info

Third party binding
Node.js info

Third party binding
Python info

Third party binding

proprietary protocol info

RESP - REdis Serialization Protocol

Supported programming languages

C++
Go

.Net

Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others info

Third-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
Perl
Python
Tcl

C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic

Server-side scripts info

Stored procedures

Lua

Triggers

yes

only for the SQL API

Partitioning methods info

Methods for storing different data on different nodes

none

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

none

Master-slave replication

Master-slave replication info

Chained replication is supported
Multi-master replication info

with Redis Enterprise Pack

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Strong eventual consistency with CRDTs
Eventual Consistency

Foreign keys info

Referential integrity

Transaction concepts info

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

ACID

Optimistic locking, atomic execution of commands blocks and scripts

Concurrency info

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability info

Support for making data persistent

yes

with automatic compression on writes

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

In-memory capabilities info

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

yes

User concepts info

Access control

Simple password-based access control info

Access control lists and SSL are available in the commercial version

More information provided by the system vendor

Specific characteristics

Redis, benchmarked as the world's fastest database, reduces application complexity,...
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Competitive advantages

Redis is an in-memory database platform offering native support of wide range of...
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Typical application scenarios

Redis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
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Key customers

Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
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Licensing and pricing models

The licensing model is subscription based. Redis Enterprise Cloud is priced according...
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