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DBMS > HugeGraph vs. Interbase vs. Newts vs. Postgres-XL vs. Quasardb

System Properties Comparison HugeGraph vs. Interbase vs. Newts vs. Postgres-XL vs. Quasardb

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInterbase  Xexclude from comparisonNewts  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSLight-weight proven RDBMS infooriginally from BorlandTime Series DBMS based on CassandraBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, high-performance timeseries database
Primary database modelGraph DBMSRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
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
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.embarcadero.com/­products/­interbaseopennms.github.io/­newtswww.postgres-xl.orgquasar.ai
Technical documentationhugegraph.apache.org/­docsdocs.embarcadero.com/­products/­interbasegithub.com/­OpenNMS/­newts/­wikiwww.postgres-xl.org/­documentationdoc.quasar.ai/­master
DeveloperBaiduEmbarcaderoOpenNMS Groupquasardb
Initial release2018198420142014 infosince 2012, originally named StormDB2009
Current release0.9InterBase 2020, December 201910 R1, October 20183.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJavaCC++
Server operating systemsLinux
macOS
Unix
Android
iOS
Linux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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 infoXML type, but no XML query functionalityno
Secondary indexesyes infoalso supports composite index and range indexyesnoyesyes infowith tags
SQL infoSupport of SQLnoyesnoyes infodistributed, parallel query executionSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
HTTP REST
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesGroovy
Java
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Java.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes infoInterbase procedure and trigger languagenouser defined functionsno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding infobased on Cassandrahorizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseInterbase Change Viewsselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes infoTransient mode
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
HugeGraphInterbaseNewtsPostgres-XLQuasardb
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