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DBMS > EJDB vs. FoundationDB vs. Oracle Berkeley DB vs. Typesense

System Properties Comparison EJDB vs. FoundationDB vs. Oracle Berkeley DB vs. Typesense

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTypesense  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Ordered key-value store. Core features are complimented by layers.Widely used in-process key-value storeA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websitegithub.com/­Softmotions/­ejdbgithub.com/­apple/­foundationdbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmltypesense.org
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdapple.github.io/­foundationdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmltypesense.org/­docs
DeveloperSoftmotionsFoundationDBOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2012201319942015
Current release6.2.28, November 202018.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache 2.0Open Source infocommercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsserver-lessLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeschema-freeschema-free infosome layers support schemasschema-freeschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idno infosome layers support typingnoyes
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.yes infoonly with the Berkeley DB XML edition
Secondary indexesnonoyesyes
SQL infoSupport of SQLnosupported in specific SQL layer onlyyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsin-process shared libraryRESTful HTTP API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.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
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnoin SQL-layer onlynono
Triggersnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblein SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyes
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.yesyes
User concepts infoAccess controlnonono

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EJDBFoundationDBOracle Berkeley DBTypesense
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