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DBMS > AgensGraph vs. Citus vs. dBASE vs. HEAVY.AI vs. Postgres-XL

System Properties Comparison AgensGraph vs. Citus vs. dBASE vs. HEAVY.AI vs. Postgres-XL

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonCitus  Xexclude from comparisondBASE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitebitnine.net/­agensgraphwww.citusdata.comwww.dbase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.postgres-xl.org
Technical documentationbitnine.net/­documentationdocs.citusdata.comwww.dbase.com/­support/­knowledgebasedocs.heavy.aiwww.postgres-xl.org/­documentation
DeveloperBitnine Global Inc.Asthon TateHEAVY.AI, Inc.
Initial release20162010197920162014 infosince 2012, originally named StormDB
Current release2.1, December 20188.1, December 2018dBASE 2019, 20195.10, January 202210 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL, commercial license also availablecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC++ and CUDAC
Server operating systemsLinux
OS X
Windows
LinuxDOS infodBase Classic
Windows infodBase Pro
LinuxLinux
macOS
Data schemedepending on used data modelyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 functionalitynoyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyes infostandard, with numerous extensionsnoyesyes infodistributed, parallel query execution
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
none infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
dBase proprietary IDEAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no infoThe IDE can access stored procedures in other database systems.nouser defined functions
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneSharding infoRound robinhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AgensGraphCitusdBASEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Postgres-XL
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