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DBMS > AgensGraph vs. HugeGraph vs. Netezza vs. Quasardb

System Properties Comparison AgensGraph vs. HugeGraph vs. Netezza vs. Quasardb

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonHugeGraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA fast-speed and highly-scalable Graph DBMSData warehouse and analytics appliance part of IBM PureSystemsDistributed, high-performance timeseries database
Primary database modelGraph DBMS
Relational DBMS
Graph DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitebitnine.net/­agensgraphgithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­netezzaquasar.ai
Technical documentationbitnine.net/­documentationhugegraph.apache.org/­docsdoc.quasar.ai/­master
DeveloperBitnine Global Inc.BaiduIBMquasardb
Initial release2016201820002009
Current release2.1, December 20180.93.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
Linux infoincluded in applianceBSD
Linux
OS X
Windows
Data schemedepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes 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.nonono
Secondary indexesyesyes infoalso supports composite index and range indexyesyes infowith tags
SQL infoSupport of SQLyesnoyesSQL-like query language
APIs and other access methodsCypher Query Language
JDBC
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
OLE DB
HTTP API
Supported programming languagesC
Java
JavaScript
Python
Groovy
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesasynchronous Gremlin script jobsyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsUsers with fine-grained authorization conceptCryptographically strong user authentication and audit trail

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More resources
AgensGraphHugeGraphNetezza infoAlso called PureData System for Analytics by IBMQuasardb
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