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DBMS > HugeGraph vs. IBM Db2 warehouse vs. Microsoft Azure Synapse Analytics vs. OrientDB vs. SAP Advantage Database Server

System Properties Comparison HugeGraph vs. IBM Db2 warehouse vs. Microsoft Azure Synapse Analytics vs. OrientDB vs. SAP Advantage Database Server

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOrientDB  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSCloud-based data warehousing serviceElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerMulti-model DBMS (Document, Graph, Key/Value)Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database modelGraph DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­services/­synapse-analyticsorientdb.orgwww.sap.com/products/advantage-database-server.html
Technical documentationhugegraph.apache.org/­docsdocs.microsoft.com/­azure/­synapse-analyticswww.orientdb.com/­docs/­last/­index.html
DeveloperBaiduIBMMicrosoftOrientDB LTD; CallidusCloud; SAPSybase, SAP
Initial release20182014201620101993
Current release0.93.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsLinux
macOS
Unix
hostedhostedAll OS with a Java JDK (>= JDK 6)Linux
Windows
Data schemeyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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 infoImport/export of XML data possiblenonono
Secondary indexesyes infoalso supports composite index and range indexyesyesyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language, no joinsyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGroovy
Java
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
Java
PHP
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Delphi
Perl
PHP
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsPL/SQL, SQL PLTransact SQLJava, Javascriptyes
TriggersnoyesnoHooksyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyesyesMulti-source replicationMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
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.yesyesno infocaching of (temporary) tables can be configured
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardyesAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standard

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More resources
HugeGraphIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOrientDBSAP Advantage Database Server infoformer name: Sybase ADS
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