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DBMS > Atos Standard Common Repository vs. HarperDB vs. TerminusDB vs. Tkrzw vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. HarperDB vs. TerminusDB vs. Tkrzw vs. Yaacomo

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHarperDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Document storeGraph DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.harperdb.ioterminusdb.comdbmx.net/­tkrzwyaacomo.com
Technical documentationdocs.harperdb.io/­docsterminusdb.github.io/­terminusdb/­#
DeveloperAtos Convergence CreatorsHarperDBDataChemist Ltd.Mikio HirabayashiQ2WEB GmbH
Initial release20162017201820202009
Current release17033.1, August 202111.0.0, January 20230.9.3, August 2020
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoGPL V3Open Source infoApache Version 2.0commercial
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 languageJavaNode.jsProlog, RustC++
Server operating systemsLinuxLinux
OS X
LinuxLinux
macOS
Android
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsdynamic schemayesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes infoJSON data typesyesnoyes
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.yesnononono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsSQL-like query language (WOQL)noyes
APIs and other access methodsLDAPJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
JavaScript
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yesno
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionA table resides as a whole on one (or more) nodes in a clusterGraph Partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedJournaling StreamsnoneSource-replica replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infoin-memory journalingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classesyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and rolesRole-based access controlnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryHarperDBTerminusDB infoformer name was DataChemistTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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