DBMS > FoundationDB vs. InfluxDB vs. Oracle Berkeley DB vs. Redis

System Properties Comparison FoundationDB vs. InfluxDB vs. Oracle Berkeley DB vs. Redis

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.

Description

Ordered key-value store. Core features are complimented by layers.

DBMS for storing time series, events and metrics

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

Document store info

supported via specific layer
Key-value store
Relational DBMS info

supported via specific SQL-layer

Time Series DBMS

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	0.79
Rank	#166	Overall
	#25	Document stores
	#30	Key-value stores
	#80	Relational DBMS

Score	20.33
Rank	#32	Overall
	#1	Time Series DBMS

Score	2.81
Rank	#88	Overall
	#15	Key-value stores
	#2	Native XML DBMS

Score	146.23
Rank	#8	Overall
	#1	Key-value stores

Website

www.foundationdb.org

www.influxdata.com/products/influxdb-overview

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

redis.io

Technical documentation

apple.github.io/foundationdb

docs.influxdata.com/influxdb

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

redis.io/documentation

Developer

FoundationDB

Oracle

originally developed by Sleepycat, which was acquired by Oracle

Salvatore Sanfilippo info

Development sponsored by Redis Labs

Initial release

2013

1994

2009

Current release

6.1.11, July 2019

1.7.8, August 2019

18.1 (Core), June 2018

5.0.7, November 2019

License

Commercial or Open Source

Open Source info

Apache 2.0

Open Source info

MIT-License; commercial enterprise version available

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

Linux
OS X
Windows

Linux
OS X info

through Homebrew

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 info

some layers support schemas

schema-free

Typing

predefined data types such as float or date

some layers support typing

Numeric data and Strings

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

supported in specific SQL layer only

SQL-like query language

yes

SQL interfaced based on SQLite is available

APIs and other access methods

HTTP API
JSON over UDP

proprietary protocol info

RESP - REdis Serialization Protocol

Supported programming languages

.Net
C
C++
Go
Java
JavaScript info

Node.js
PHP
Python
Ruby
Swift

.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala

.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

in SQL-layer only

Lua

Triggers

yes

only for the SQL API

Partitioning methods info

Methods for storing different data on different nodes

Sharding

in enterprise version only

none

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor info

in enterprise version only

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

Linearizable consistency

Eventual Consistency
Strong eventual consistency with CRDTs

Foreign keys info

Referential integrity

in SQL-layer only

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

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

Depending on used storage engine

yes

User concepts info

Access control

simple rights management via user accounts

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

InfluxData is the creator of InfluxDB , the open source time series database. It...
» more

Redis, benchmarked as the world's fastest database, reduces application complexity,...
» more

Competitive advantages

Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more

Redis is an in-memory database platform offering native support of wide range of...
» more

Typical application scenarios

IoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more

Redis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
» more

Key customers

InfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more

Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more

Market metrics

Fastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more

Licensing and pricing models

Open source core with closed source clustering available either on-premise or on...
» more

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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.