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

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

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonArcadeDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFirebolt  Xexclude from comparisonGigaSpaces  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 ClickhouseHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
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 DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsGraph DBMS
Search engine
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
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Websitebitnine.net/­agensgrapharcadedb.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.firebolt.iowww.gigaspaces.com
Technical documentationbitnine.net/­documentationdocs.arcadedb.comdocs.firebolt.iodocs.gigaspaces.com/­latest/­landing.html
DeveloperBitnine Global Inc.Arcade DataAtos Convergence CreatorsFirebolt Analytics Inc.Gigaspaces Technologies
Initial release20162021201620202000
Current release2.1, December 2018September 2021170315.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2; 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 languageCJavaJavaJava, C++, .Net
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxhostedLinux
macOS
Solaris
Windows
Data schemedepending on used data modelschema-freeSchema and schema-less with LDAP viewsyesschema-free
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.nonoyesno infoXML can be used for describing objects metadata
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language, no joinsnoyesSQL-99 for query and DML statements
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
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC
Java
JavaScript
Python
JavaAll languages with LDAP bindingsGo
JavaScript (Node.js)
Python
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresyesnonoyes
Triggersnoyesnoyes, event driven architecture
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 infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyesyes inforelationship in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 authenticationRole-based access control

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More resources
AgensGraphArcadeDBAtos Standard Common RepositoryFireboltGigaSpaces
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