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DBMS > FoundationDB vs. InfinityDB vs. LevelDB vs. Realm vs. Tkrzw

System Properties Comparison FoundationDB vs. InfinityDB vs. LevelDB vs. Realm vs. Tkrzw

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonLevelDB  Xexclude from comparisonRealm  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.A Java embedded Key-Value Store which extends the Java Map interfaceEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeKey-value storeDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score7.41
Rank#52  Overall
#8  Document stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegithub.com/­apple/­foundationdbboilerbay.comgithub.com/­google/­leveldbrealm.iodbmx.net/­tkrzw
Technical documentationapple.github.io/­foundationdbboilerbay.com/­infinitydb/­manualgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrealm.io/­docs
DeveloperFoundationDBBoiler Bay Inc.GoogleRealm, acquired by MongoDB in May 2019Mikio Hirabayashi
Initial release20132002201120142020
Current release6.2.28, November 20204.01.23, February 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSDOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMIllumos
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Linux
macOS
Data schemeschema-free infosome layers support schemasyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysnoyesno
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.nononono
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilitynoyes
SQL infoSupport of SQLsupported in specific SQL layer onlynononono
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
JavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlynonono inforuns within the applications so server-side scripts are unnecessaryno
Triggersnononoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyno infomanual creation possible, using inversions based on multi-value capabilitynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmyes infousing specific database classes
User concepts infoAccess controlnononoyesno

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FoundationDBInfinityDBLevelDBRealmTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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