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DBMS > Alibaba Cloud Table Store vs. AnzoGraph DB vs. Citus vs. Cubrid vs. Sphinx

System Properties Comparison Alibaba Cloud Table Store vs. AnzoGraph DB vs. Citus vs. Cubrid vs. Sphinx

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonCitus  Xexclude from comparisonCubrid  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelWide column storeGraph DBMS
RDF store
Relational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­table-storecambridgesemantics.com/­anzographwww.citusdata.comcubrid.com (korean)
cubrid.org (english)
sphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.citusdata.comcubrid.org/­manualssphinxsearch.com/­docs
DeveloperAlibabaCambridge SemanticsCUBRID Corporation, CUBRID FoundationSphinx Technologies Inc.
Initial release20162018201020082001
Current release2.3, January 20218.1, December 201811.0, January 20213.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, C++, JavaC++
Server operating systemshostedLinuxLinuxLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyes infospecific XML type available, but no XML query functionalityno
Secondary indexesnonoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.yes infostandard, with numerous extensionsyesSQL-like query language (SphinxQL)
APIs and other access methodsHTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
OLE DB
Proprietary protocol
Supported programming languagesJava
Python
C++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functions and aggregatesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Proceduresno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceAutomatic shardingShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication in MPP-ClusterSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Alibaba Cloud Table StoreAnzoGraph DBCitusCubridSphinx
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