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DBMS > AnzoGraph DB vs. HarperDB vs. Interbase vs. PostgreSQL

System Properties Comparison AnzoGraph DB vs. HarperDB vs. Interbase vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonHarperDB  Xexclude from comparisonInterbase  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Light-weight proven RDBMS infooriginally from BorlandWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSRelational 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
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.55
Rank#248  Overall
#38  Document stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.harperdb.iowww.embarcadero.com/­products/­interbasewww.postgresql.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.harperdb.io/­docsdocs.embarcadero.com/­products/­interbasewww.postgresql.org/­docs
DeveloperCambridge SemanticsHarperDBEmbarcaderoPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2018201719841989 info1989: Postgres, 1996: PostgreSQL
Current release2.3, January 20213.1, August 2021InterBase 2020, December 201916.2, February 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infofree community edition availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsCC
Server operating systemsLinuxLinux
OS X
Android
iOS
Linux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeSchema-free and OWL/RDFS-schema supportdynamic schemayesyes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like data manipulation statementsyesyes infostandard with numerous extensions
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesCustom Functions infosince release 3.1yes infoInterbase procedure and trigger languageuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingA table resides as a whole on one (or more) nodes in a clusternonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes infothe nodes on which a table resides can be definedInterbase Change ViewsSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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AnzoGraph DBHarperDBInterbasePostgreSQL
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