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

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

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFoundationDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonLevelDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOrdered 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 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 modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
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
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.datomic.comgithub.com/­apple/­foundationdbboilerbay.comgithub.com/­google/­leveldbdbmx.net/­tkrzw
Technical documentationdocs.datomic.comapple.github.io/­foundationdbboilerbay.com/­infinitydb/­manualgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperCognitectFoundationDBBoiler Bay Inc.GoogleMikio Hirabayashi
Initial release20122013200220112020
Current release1.0.7075, December 20236.2.28, November 20204.01.23, February 20210.9.3, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercialOpen Source infoBSDOpen 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 languageJava, ClojureC++JavaC++C++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
All OS with a Java VMIllumos
Linux
OS X
Windows
Linux
macOS
Data schemeyesschema-free infosome layers support schemasyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeschema-free
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysnono
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 indexesyesnono infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLnosupported in specific SQL layer onlynonono
APIs and other access methodsRESTful HTTP APIAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesClojure
Java
.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
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsin SQL-layer onlynonono
TriggersBy using transaction functionsnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyno infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes infousing specific database classes
User concepts infoAccess controlnonononono

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More resources
DatomicFoundationDBInfinityDBLevelDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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