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DBMS > Fauna vs. HBase vs. Lovefield vs. Microsoft Azure AI Search vs. Yaacomo

System Properties Comparison Fauna vs. HBase vs. Lovefield vs. Microsoft Azure AI Search vs. Yaacomo

Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonHBase  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
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.Wide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable relational database for web apps written in pure JavaScriptSearch-as-a-service for web and mobile app developmentOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Wide column storeRelational DBMSSearch engineRelational DBMS
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
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitefauna.comhbase.apache.orggoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­searchyaacomo.com
Technical documentationdocs.fauna.comhbase.apache.org/­book.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-us/­azure/­search
DeveloperFauna, Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetGoogleMicrosoftQ2WEB GmbH
Initial release20142008201420152009
Current release2.3.4, January 20212.1.12, February 2017V1
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaJavaScript
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedAndroid
Linux
Windows
Data schemeschema-freeschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternnoyes
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
Thrift
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScriptC#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsyes infoCoprocessors in Javanono
TriggersnoyesUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingShardingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
noneyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDBnoyes
User concepts infoAccess controlIdentity management, authentication, and access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Fauna infopreviously named FaunaDBHBaseLovefieldMicrosoft Azure AI SearchYaacomo
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