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DBMS > Fauna vs. Graph Engine vs. KeyDB vs. Lovefield vs. Microsoft Azure AI Search

System Properties Comparison Fauna vs. Graph Engine vs. KeyDB vs. Lovefield vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonKeyDB  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionFauna 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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable relational database for web apps written in pure JavaScriptSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Graph DBMS
Key-value store
Key-value storeRelational DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitefauna.comwww.graphengine.iogithub.com/­Snapchat/­KeyDB
keydb.dev
google.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.fauna.comwww.graphengine.io/­docs/­manualdocs.keydb.devgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-us/­azure/­search
DeveloperFauna, Inc.MicrosoftEQ Alpha Technology Ltd.GoogleMicrosoft
Initial release20142010201920142015
Current release2.1.12, February 2017V1
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoBSD-3Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScala.NET and CC++JavaScript
Server operating systemshosted.NETLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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.nonononono
Secondary indexesyesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLnononoSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
F#
Visual Basic
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
JavaScriptC#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsyesLuanono
TriggersnononoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashinghorizontal partitioningShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
noneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoOptimistic locking, atomic execution of commands blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing MemoryDBno
User concepts infoAccess controlIdentity management, authentication, and access controlsimple password-based access control and ACLnoyes infousing Azure authentication

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More resources
Fauna infopreviously named FaunaDBGraph Engine infoformer name: TrinityKeyDBLovefieldMicrosoft Azure AI Search
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