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DBMS > HugeGraph vs. PlanetScale vs. PostgreSQL vs. Yanza

System Properties Comparison HugeGraph vs. PlanetScale vs. PostgreSQL vs. Yanza

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonPlanetScale  Xexclude from comparisonPostgreSQL  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSScalable, distributed, serverless MySQL database platform built on top of VitessWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTime Series DBMS for IoT Applications
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
Spatial DBMS
Document 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
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
planetscale.comwww.postgresql.orgyanza.com
Technical documentationhugegraph.apache.org/­docsplanetscale.com/­docswww.postgresql.org/­docs
DeveloperBaiduPlanetScalePostgreSQL Global Development Group infowww.postgresql.org/­developerYanza
Initial release201820201989 info1989: Postgres, 1996: PostgreSQL2015
Current release0.916.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSDcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnono infobut mainly used as a service provided by Yanza
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.
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Implementation languageJavaGoC
Server operating systemsLinux
macOS
Unix
Docker
Linux
macOS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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
Secondary indexesyes infoalso supports composite index and range indexyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infostandard with numerous extensionsno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesGroovy
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingpartitioning 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 HBaseMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyes infonot for MyISAM storage engineyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at shard levelACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
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.yesyesno
User concepts infoAccess controlUsers, roles and permissionsUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardno

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