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DBMS > HBase vs. HugeGraph vs. Interbase vs. Memcached vs. PostgreSQL

System Properties Comparison HBase vs. HugeGraph vs. Interbase vs. Memcached vs. PostgreSQL

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonInterbase  Xexclude from comparisonMemcached  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA fast-speed and highly-scalable Graph DBMSLight-weight proven RDBMS infooriginally from BorlandIn-memory key-value store, originally intended for cachingWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelWide column storeGraph DBMSRelational DBMSKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitehbase.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.embarcadero.com/­products/­interbasewww.memcached.orgwww.postgresql.org
Technical documentationhbase.apache.org/­book.htmlhugegraph.apache.org/­docsdocs.embarcadero.com/­products/­interbasegithub.com/­memcached/­memcached/­wikiwww.postgresql.org/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetBaiduEmbarcaderoDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20082018198420031989 info1989: Postgres, 1996: PostgreSQL
Current release2.3.4, January 20210.9InterBase 2020, December 20191.6.27, May 202416.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0commercialOpen Source infoBSD licenseOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCCC
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
macOS
Unix
Android
iOS
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-free, schema definition possibleyesyesschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesnoyes
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 infoexport as XML data possibleyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyes infoalso supports composite index and range indexyesnoyes
SQL infoSupport of SQLnonoyesnoyes infostandard with numerous extensions
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
Proprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoCoprocessors in Javaasynchronous Gremlin script jobsyes infoInterbase procedure and trigger languagenouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenonenonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseInterbase Change Viewsnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissionsfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standard

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HBaseHugeGraphInterbaseMemcachedPostgreSQL
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