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DBMS > Citus vs. HarperDB vs. Microsoft Azure AI Search vs. Quasardb

System Properties Comparison Citus vs. HarperDB vs. Microsoft Azure AI Search vs. Quasardb

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Search-as-a-service for web and mobile app developmentDistributed, high-performance timeseries database
Primary database modelRelational DBMSDocument storeSearch engineTime Series DBMS
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score5.75
Rank#58  Overall
#7  Search engines
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitewww.citusdata.comwww.harperdb.ioazure.microsoft.com/­en-us/­services/­searchquasar.ai
Technical documentationdocs.citusdata.comdocs.harperdb.io/­docslearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­master
DeveloperHarperDBMicrosoftquasardb
Initial release2010201720152009
Current release8.1, December 20183.1, August 2021V13.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infofree community edition availablecommercialcommercial 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 languageCNode.jsC++
Server operating systemsLinuxLinux
OS X
hostedBSD
Linux
OS X
Windows
Data schemeyesdynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes 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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like data manipulation statementsnoSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP APIHTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Custom Functions infosince release 3.1nono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infothe nodes on which a table resides can be definedyes 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 integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesyes infousing Azure authenticationCryptographically strong user authentication and audit trail

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More resources
CitusHarperDBMicrosoft Azure AI SearchQuasardb
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