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DBMS > Atos Standard Common Repository vs. InfinityDB vs. Microsoft Azure AI Search vs. Typesense

System Properties Comparison Atos Standard Common Repository vs. InfinityDB vs. Microsoft Azure AI Search vs. Typesense

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTypesense  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 networksA Java embedded Key-Value Store which extends the Java Map interfaceSearch-as-a-service for web and mobile app developmentA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument store
Key-value store
Key-value storeSearch engineSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#378  Overall
#57  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score0.79
Rank#210  Overall
#14  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryboilerbay.comazure.microsoft.com/­en-us/­services/­searchtypesense.org
Technical documentationboilerbay.com/­infinitydb/­manuallearn.microsoft.com/­en-us/­azure/­searchtypesense.org/­docs
DeveloperAtos Convergence CreatorsBoiler Bay Inc.Microsoft
Initial release2016200220152015
Current release17034.0V1
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3
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 languageJavaJavaC++
Server operating systemsLinuxAll OS with a Java VMhostedLinux
Data schemeSchema and schema-less with LDAP viewsyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateoptionalyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.yesnono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLnononono
APIs and other access methodsLDAPAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP APIRESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsJavaC#
Java
JavaScript
Python
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnononono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoImplicit feature of the cloud serviceMulti-source replication using RAFT
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 Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
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.yesnonoyes
User concepts infoAccess controlLDAP bind authenticationnoyes infousing Azure authentication

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Atos Standard Common RepositoryInfinityDBMicrosoft Azure AI SearchTypesense
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