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DBMS > ArcadeDB vs. Fujitsu Enterprise Postgres vs. Microsoft Azure AI Search vs. Quasardb

System Properties Comparison ArcadeDB vs. Fujitsu Enterprise Postgres vs. Microsoft Azure AI Search vs. Quasardb

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Search-as-a-service for web and mobile app developmentDistributed, high-performance timeseries database
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMSSearch engineTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitearcadedb.comwww.postgresql.fastware.comazure.microsoft.com/­en-us/­services/­searchquasar.ai
Technical documentationdocs.arcadedb.comwww.postgresql.fastware.com/­product-manualslearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­master
DeveloperArcade DataPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMicrosoftquasardb
Initial release202120152009
Current releaseSeptember 2021Fujitsu Enterprise Postgres 14, January 2022V13.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsAll OS with a Java VMLinux
Windows
hostedBSD
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like query language, no joinsyesnoSQL-like query language
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIHTTP API
Supported programming languagesJava.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationCryptographically strong user authentication and audit trail

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More resources
ArcadeDBFujitsu Enterprise PostgresMicrosoft Azure AI SearchQuasardb
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