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DBMS > Atos Standard Common Repository vs. Bangdb vs. Cloudflare Workers KV vs. Microsoft Azure AI Search

System Properties Comparison Atos Standard Common Repository vs. Bangdb vs. Cloudflare Workers KV vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBangdb  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonMicrosoft Azure AI Search  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 networksConverged and high performance database for device data, events, time series, document and graphA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Search-as-a-service for web and mobile app development
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Key-value storeSearch engine
Secondary database modelsSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybangdb.comwww.cloudflare.com/­developer-platform/­workers-kvazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.bangdb.comdevelopers.cloudflare.com/­kv/­apilearn.microsoft.com/­en-us/­azure/­search
DeveloperAtos Convergence CreatorsSachin Sinha, BangDBCloudflareMicrosoft
Initial release2016201220182015
Current release1703BangDB 2.0, October 2021V1
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++
Server operating systemsLinuxLinuxhostedhosted
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes: string, long, double, int, geospatial, stream, eventsnoyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLnoSQL like support with command line toolnono
APIs and other access methodsLDAPProprietary protocol
RESTful HTTP API
HTTP REST
Proprietary protocol
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Java
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnononono
Triggersyesyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)yesyes infoImplicit feature of the cloud service
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 configurationTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modenono
User concepts infoAccess controlLDAP bind authenticationyes (enterprise version only)yes infousing Azure authentication

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More resources
Atos Standard Common RepositoryBangdbCloudflare Workers KVMicrosoft Azure AI Search
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