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DBMS > HugeGraph vs. Interbase vs. JanusGraph vs. Microsoft Azure Synapse Analytics

System Properties Comparison HugeGraph vs. Interbase vs. JanusGraph vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInterbase  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSLight-weight proven RDBMS infooriginally from BorlandA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelGraph DBMSRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.embarcadero.com/­products/­interbasejanusgraph.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationhugegraph.apache.org/­docsdocs.embarcadero.com/­products/­interbasedocs.janusgraph.orgdocs.microsoft.com/­azure/­synapse-analytics
DeveloperBaiduEmbarcaderoLinux Foundation; originally developed as Titan by AureliusMicrosoft
Initial release2018198420172016
Current release0.9InterBase 2020, December 20190.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaC++
Server operating systemsLinux
macOS
Unix
Android
iOS
Linux
OS X
Windows
Linux
OS X
Unix
Windows
hosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoexport as XML data possiblenono
Secondary indexesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Clojure
Java
Python
C#
Java
PHP
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes infoInterbase procedure and trigger languageyesTransact SQL
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseInterbase Change Viewsyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesyes infoRelationships in graphsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serveryes

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More resources
HugeGraphInterbaseJanusGraph infosuccessor of TitanMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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