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DBMS > HugeGraph vs. JaguarDB vs. Microsoft Azure AI Search vs. Microsoft Azure Table Storage vs. SAP SQL Anywhere

System Properties Comparison HugeGraph vs. JaguarDB vs. Microsoft Azure AI Search vs. Microsoft Azure Table Storage vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSPerformant, highly scalable DBMS for AI and IoT applicationsSearch-as-a-service for web and mobile app developmentA Wide Column Store for rapid development using massive semi-structured datasetsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelGraph DBMSKey-value store
Vector DBMS
Search engineWide column storeRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score4.04
Rank#77  Overall
#6  Wide column stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.jaguardb.comazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­en-us/­services/­storage/­tableswww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationhugegraph.apache.org/­docswww.jaguardb.com/­support.htmllearn.microsoft.com/­en-us/­azure/­searchhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperBaiduDataJaguar, Inc.MicrosoftMicrosoftSAP infoformerly Sybase
Initial release20182015201520121992
Current release0.93.3 July 2023V117, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL V3.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinux
macOS
Unix
LinuxhostedhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes
Secondary indexesyes infoalso supports composite index and range indexyesyesnoyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnonoyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP APIRESTful HTTP APIADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnononoyes, in C/C++, Java, .Net or Perl
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replicationyes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononoyes
User concepts infoAccess controlUsers, roles and permissionsrights management via user accountsyes infousing Azure authenticationAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
HugeGraphJaguarDBMicrosoft Azure AI SearchMicrosoft Azure Table StorageSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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