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DBMS > HugeGraph vs. PostgreSQL vs. RRDtool

System Properties Comparison HugeGraph vs. PostgreSQL vs. RRDtool

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelGraph 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
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score645.05
Rank#4  Overall
#4  Relational DBMS
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.postgresql.orgoss.oetiker.ch/­rrdtool
Technical documentationhugegraph.apache.org/­docswww.postgresql.org/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperBaiduPostgreSQL Global Development Group infowww.postgresql.org/­developerTobias Oetiker
Initial release20181989 info1989: Postgres, 1996: PostgreSQL1999
Current release0.916.2, February 20241.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageJavaCC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
macOS
Unix
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
HP-UX
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data only
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.noyes infospecific XML-type available, but no XML query functionality.no infoExporting into and restoring from XML files possible
Secondary indexesyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLnoyes infostandard with numerous extensionsno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
in-process shared library
Pipes
Supported programming languagesGroovy
Java
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasepartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardno

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More resources
HugeGraphPostgreSQLRRDtool
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