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DBMS > Datomic vs. Fauna vs. Lovefield vs. Memcached vs. OushuDB

System Properties Comparison Datomic vs. Fauna vs. Lovefield vs. Memcached vs. OushuDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonLovefield  Xexclude from comparisonMemcached  Xexclude from comparisonOushuDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Embeddable relational database for web apps written in pure JavaScriptIn-memory key-value store, originally intended for cachingA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.04
Rank#363  Overall
#154  Relational DBMS
Websitewww.datomic.comfauna.comgoogle.github.io/­lovefieldwww.memcached.orgwww.oushu.com/­product/­oushuDB
Technical documentationdocs.datomic.comdocs.fauna.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdgithub.com/­memcached/­memcached/­wikiwww.oushu.com/­documentation
DeveloperCognitectFauna, Inc.GoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalOushu
Initial release2012201420142003
Current release1.0.6735, June 20232.1.12, February 20171.6.25, March 20244.0.1, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache 2.0Open Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureScalaJavaScriptC
Server operating systemsAll OS with a Java VMhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Unix
Windows
Linux
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternnoFull-featured ANSI SQL support
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIProprietary protocolJDBC
ODBC
Supported programming languagesClojure
Java
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
JavaScript.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsnonoyes
TriggersBy using transaction functionsnoUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning infoconsistent hashingnonenoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationnonenone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
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)yesyes, by using IndexedDB or the cloud service Firebase Realtime Databasenoyes
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 MemoryDB
User concepts infoAccess controlnoIdentity management, authentication, and access controlnoyes infousing SASL (Simple Authentication and Security Layer) protocolKerberos, SSL and role based access

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More resources
DatomicFauna infopreviously named FaunaDBLovefieldMemcachedOushuDB
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