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DBMS > HugeGraph vs. Infobright vs. PostgreSQL vs. Warp 10

System Properties Comparison HugeGraph vs. Infobright vs. PostgreSQL vs. Warp 10

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInfobright  Xexclude from comparisonPostgreSQL  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
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
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
ignitetech.com/­softwarelibrary/­infobrightdbwww.postgresql.orgwww.warp10.io
Technical documentationhugegraph.apache.org/­docswww.postgresql.org/­docswww.warp10.io/­content/­02_Getting_started
DeveloperBaiduIgnite Technologies Inc.; formerly InfoBright Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerSenX
Initial release201820051989 info1989: Postgres, 1996: PostgreSQL2015
Current release0.916.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoBSDOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCCJava
Server operating systemsLinux
macOS
Unix
Linux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyes infoalso supports composite index and range indexno infoKnowledge Grid Technology used insteadyesno
SQL infoSupport of SQLnoyesyes infostandard with numerous extensionsno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Jupyter
WebSocket
Supported programming languagesGroovy
Java
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoWarpScript
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenonepartitioning by range, list and (since PostgreSQL 11) by hashSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoedges in graphnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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