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DBMS > HugeGraph vs. Ingres vs. Microsoft Azure Table Storage vs. SAP SQL Anywhere vs. Transbase

System Properties Comparison HugeGraph vs. Ingres vs. Microsoft Azure Table Storage vs. SAP SQL Anywhere vs. Transbase

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSWell established RDBMSA Wide Column Store for rapid development using massive semi-structured datasetsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelGraph DBMSRelational DBMSWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.actian.com/­databases/­ingresazure.microsoft.com/­en-us/­services/­storage/­tableswww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.transaction.de/­en/­products/­transbase.html
Technical documentationhugegraph.apache.org/­docsdocs.actian.com/­ingreshelp.sap.com/­docs/­SAP_SQL_Anywherewww.transaction.de/­en/­products/­transbase/­features.html
DeveloperBaiduActian CorporationMicrosoftSAP infoformerly SybaseTransaction Software GmbH
Initial release20181974 infooriginally developed at University Berkely in early 1970s201219921987
Current release0.911.2, May 202217, July 2015Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC and C++
Server operating systemsLinux
macOS
Unix
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-freeyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availablenoyesno
Secondary indexesyes infoalso supports composite index and range indexyesnoyesyes
SQL infoSupport of SQLnoyesnoyesyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP APIADO.NET
HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGroovy
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesnoyes, in C/C++, Java, .Net or Perlyes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding 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 HBaseIngres Replicatoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication infoDatabase mirroringSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
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.yesnonoyesno
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HugeGraphIngresMicrosoft Azure Table StorageSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTransbase
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