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

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

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionOrdered key-value store. Core features are complimented by layers.DBMS for storing time series, events and metricsWidely used in-process key-value storeA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#166  Overall
#25  Document stores
#30  Key-value stores
#80  Relational DBMS
Score20.33
Rank#32  Overall
#1  Time Series DBMS
Score2.81
Rank#88  Overall
#15  Key-value stores
#2  Native XML DBMS
Score1.79
Rank#117  Overall
#8  Time Series DBMS
Websitewww.foundationdb.orgwww.influxdata.com/­products/­influxdb-overviewwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlwww.timescale.com
Technical documentationapple.github.io/­foundationdbdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.timescale.com
DeveloperFoundationDBOracle infooriginally developed by Sleepycat, which was acquired by OracleTimescale
Initial release2013201319942017
Current release6.1.11, July 20191.7.8, August 201918.1 (Core), June 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeschema-free infosome layers support schemasschema-freeschema-freeyes
Typing infopredefined data types such as float or dateno infosome layers support typingNumeric data and Stringsnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes infoonly with the Berkeley DB XML editionyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like query languageyes infoSQL interfaced based on SQLite is availableyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresin SQL-layer onlynonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoin enterprise version onlyMaster-slave replicationMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesno
User concepts infoAccess controlnosimple rights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
FoundationDBInfluxDBOracle Berkeley DBTimescaleDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
TimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
1.8 million+ downloads, 7,500+ Github stars
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Apache 2 and Timescale License (TSL); Product matrix here ; information on pricing...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
FoundationDBInfluxDBOracle Berkeley DBTimescaleDB
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Recent citations in the news

Apple’s FoundationDB open sources the database layer behind CloudKit
14 January 2019, 9to5Mac

FoundationDB's Record Layer Supports Relational Database Semantics, Schema Management and Indexing
10 February 2019, InfoQ.com

FoundationDB, a very interesting NoSQL database owned by Apple, is now an open-source project
19 April 2018, GeekWire

Apple Acquires Durable Database Company FoundationDB
24 March 2015, TechCrunch

FoundationDB Goes Open Source
23 April 2018, Datanami

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Getting Started with Oracle Berkeley DB
5 July 2015, DZone News

Oracle switches Berkeley DB license
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Database Trends Report: SQL Beats NoSQL, MySQL Most Popular
5 March 2019, ADT Magazine

Top Local Databases for React Native App Development {A 2020 List}
15 October 2019, Appinventiv

Under the Hood: Oracle Berkeley DB XML
7 May 2008, XML.com

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TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

Why time series databases are exploding in popularity
26 June 2019, TechRepublic

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