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DBMS > HugeGraph vs. Informix vs. Oracle vs. Postgres-XL

System Properties Comparison HugeGraph vs. Informix vs. Oracle vs. Postgres-XL

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInformix  Xexclude from comparisonOracle  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataWidely used RDBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­informixwww.oracle.com/­databasewww.postgres-xl.org
Technical documentationhugegraph.apache.org/­docsinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.oracle.com/­en/­databasewww.postgres-xl.org/­documentation
DeveloperBaiduIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Oracle
Initial release2018198419802014 infosince 2012, originally named StormDB
Current release0.914.10.FC5, November 202023c, September 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercial inforestricted free version is availableOpen Source infoMozilla public license
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 languageJavaC, C++ and JavaC and C++C
Server operating systemsLinux
macOS
Unix
AIX
HP-UX
Linux
macOS
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
macOS
Data schemeyesyesyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes
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.noyesyes infoXML type, but no XML query functionality
Secondary indexesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnoyesyes infowith proprietary extensionsyes infodistributed, parallel query execution
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGroovy
Java
Python
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesPL/SQL infoalso stored procedures in Java possibleuser defined functions
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoisolation level can be parameterizedACID infoMVCC
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.yesyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'no
User concepts infoAccess controlUsers, roles and permissionsUsers with fine-grained authentication, authorization, and auditing controlsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HugeGraphInformixOraclePostgres-XL
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