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DBMS > AllegroGraph vs. GreptimeDB vs. OrigoDB vs. Quasardb

System Properties Comparison AllegroGraph vs. GreptimeDB vs. OrigoDB vs. Quasardb

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGreptimeDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA fully ACID in-memory object graph databaseDistributed, high-performance timeseries database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsSpatial 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
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websiteallegrograph.comgreptime.comorigodb.comquasar.ai
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.greptime.comorigodb.com/­docsdoc.quasar.ai/­master
DeveloperFranz Inc.Greptime Inc.Robert Friberg et alquasardb
Initial release200420222009 infounder the name LiveDB2009
Current release8.0, December 20233.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC#C++
Server operating systemsLinux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoRDF schemasschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes infointeger and binary
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 infocan be achieved using .NETno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSPARQL is used as query languageyesnoSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC
HTTP API
JDBC
.NET Client API
HTTP API
LINQ
HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Erlang
Go
Java
JavaScript
.Net.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispPythonyesno
Triggersyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationSimple rights management via user accountsRole based authorizationCryptographically strong user authentication and audit trail
More information provided by the system vendor
AllegroGraphGreptimeDBOrigoDBQuasardb
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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AllegroGraphGreptimeDBOrigoDBQuasardb
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