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DBMS > AgensGraph vs. ArcadeDB vs. Atos Standard Common Repository vs. Firebolt vs. Vitess

System Properties Comparison AgensGraph vs. ArcadeDB vs. Atos Standard Common Repository vs. Firebolt vs. Vitess

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonArcadeDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFirebolt  Xexclude from comparisonVitess  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelGraph DBMS
Relational DBMS
Document store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitebitnine.net/­agensgrapharcadedb.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.firebolt.iovitess.io
Technical documentationbitnine.net/­documentationdocs.arcadedb.comdocs.firebolt.iovitess.io/­docs
DeveloperBitnine Global Inc.Arcade DataAtos Convergence CreatorsFirebolt Analytics Inc.The Linux Foundation, PlanetScale
Initial release20162021201620202013
Current release2.1, December 2018September 2021170315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJavaGo
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxhostedDocker
Linux
macOS
Data schemedepending on used data modelschema-freeSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.nonoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language, no joinsnoyesyes infowith proprietary extensions
APIs and other access methodsCypher Query Language
JDBC
JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
LDAP.Net
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
Java
JavaScript
Python
JavaAll languages with LDAP bindingsGo
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnonoyes infoproprietary syntax
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesdepending on storage layerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyes inforelationship in graphsnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationUsers with fine-grained authorization concept infono user groups or roles

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More resources
AgensGraphArcadeDBAtos Standard Common RepositoryFireboltVitess
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