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DBMS > AllegroGraph vs. DolphinDB vs. Fujitsu Enterprise Postgres vs. Heroic

System Properties Comparison AllegroGraph vs. DolphinDB vs. Fujitsu Enterprise Postgres vs. Heroic

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDolphinDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMS
Vector DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Websiteallegrograph.comwww.dolphindb.comwww.postgresql.fastware.comgithub.com/­spotify/­heroic
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.dolphindb.cn/­en/­help200/­index.htmlwww.postgresql.fastware.com/­product-manualsspotify.github.io/­heroic
DeveloperFranz Inc.DolphinDB, IncPostgreSQL Global Development Group, Fujitsu Australia Software TechnologySpotify
Initial release200420182014
Current release8.0, December 2023v2.00.4, January 2022Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree community version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
Windows
Data schemeyes infoRDF schemasyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infobulk load of XML files possiblenono
Secondary indexesyesyesyesyes infovia Elasticsearch
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageyesno
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesuser defined functionsno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioningpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAdministrators, Users, Groupsfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphDolphinDBFujitsu Enterprise PostgresHeroic
News

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16 September 2024

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10 September 2024

Pruning Cycles in UMLS Metathesaurus: A Neuro Symbolic AI Approach
9 September 2024

Awesome AI Companies – Franz Inc.
17 July 2024

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More resources
AllegroGraphDolphinDBFujitsu Enterprise PostgresHeroic
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