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DBMS > Atos Standard Common Repository vs. Dgraph vs. Kinetica vs. Manticore Search vs. ObjectBox

System Properties Comparison Atos Standard Common Repository vs. Dgraph vs. Kinetica vs. Manticore Search vs. ObjectBox

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDgraph  Xexclude from comparisonKinetica  Xexclude from comparisonManticore Search  Xexclude from comparisonObjectBox  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDistributed and scalable native Graph DBMSFully vectorized database across both GPUs and CPUsMulti-storage database for search, including full-text search.Extremely fast embedded database for small devices, IoT and Mobile
Primary database modelDocument store
Key-value store
Graph DBMSRelational DBMSSearch engineObject oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Time Series DBMS infousing the Manticore Columnar LibraryTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorydgraph.iowww.kinetica.commanticoresearch.comobjectbox.io
Technical documentationdgraph.io/­docsdocs.kinetica.commanual.manticoresearch.comdocs.objectbox.io
DeveloperAtos Convergence CreatorsDgraph Labs, Inc.KineticaManticore SoftwareObjectBox Limited
Initial release20162016201220172017
Current release17037.1, August 20216.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGPL version 2Open Source infoApache License 2.0
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 languageJavaGoC, C++C++C and C++
Server operating systemsLinuxLinux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Windows
Android
iOS
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesFixed schemayes
Typing infopredefined data types such as float or dateoptionalyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.yesnonoCan index from XMLno
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsLDAPGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Proprietary native API
Supported programming languagesAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnonouser defined functionsuser defined functionsno
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftSource-replica replicationSynchronous replication based on Galera libraryonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlLDAP bind authenticationno infoPlanned for future releasesAccess rights for users and roles on table levelnoyes
More information provided by the system vendor
Atos Standard Common RepositoryDgraphKineticaManticore SearchObjectBox
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More resources
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