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DBMS > HugeGraph vs. Interbase vs. NSDb vs. PostgreSQL

System Properties Comparison HugeGraph vs. Interbase vs. NSDb vs. PostgreSQL

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInterbase  Xexclude from comparisonNSDb  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSLight-weight proven RDBMS infooriginally from BorlandScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMSRelational DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.embarcadero.com/­products/­interbasensdb.iowww.postgresql.org
Technical documentationhugegraph.apache.org/­docsdocs.embarcadero.com/­products/­interbasensdb.io/­Architecturewww.postgresql.org/­docs
DeveloperBaiduEmbarcaderoPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2018198420171989 info1989: Postgres, 1996: PostgreSQL
Current release0.9InterBase 2020, December 201916.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava, ScalaC
Server operating systemsLinux
macOS
Unix
Android
iOS
Linux
OS X
Windows
Linux
macOS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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 possiblenoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyes infoalso supports composite index and range indexyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyesSQL-like query languageyes infostandard with numerous extensions
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGroovy
Java
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Java
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes infoInterbase procedure and trigger languagenouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseInterbase Change ViewsSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HugeGraphInterbaseNSDbPostgreSQL
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