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DBMS > Atos Standard Common Repository vs. HarperDB vs. Microsoft Azure AI Search vs. Tkrzw

System Properties Comparison Atos Standard Common Repository vs. HarperDB vs. Microsoft Azure AI Search vs. Tkrzw

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 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.Search-as-a-service for web and mobile app developmentA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Key-value store
Document storeSearch engineKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.harperdb.ioazure.microsoft.com/­en-us/­services/­searchdbmx.net/­tkrzw
Technical documentationdocs.harperdb.io/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperAtos Convergence CreatorsHarperDBMicrosoftMikio Hirabayashi
Initial release2016201720152020
Current release17033.1, August 2021V10.9.3, August 2020
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaNode.jsC++
Server operating systemsLinuxLinux
OS X
hostedLinux
macOS
Data schemeSchema and schema-less with LDAP viewsdynamic schemayesschema-free
Typing infopredefined data types such as float or dateoptionalyes infoJSON data typesyesno
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.yesnonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsnono
APIs and other access methodsLDAPJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP API
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
C#
Java
JavaScript
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1nono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionA table resides as a whole on one (or more) nodes in a clusterSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infousing specific database classes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and rolesyes infousing Azure authenticationno

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More resources
Atos Standard Common RepositoryHarperDBMicrosoft Azure AI SearchTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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