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DBMS > Atos Standard Common Repository vs. Bangdb vs. BigObject vs. Elasticsearch vs. Microsoft Azure AI Search

System Properties Comparison Atos Standard Common Repository vs. Bangdb vs. BigObject vs. Elasticsearch vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBangdb  Xexclude from comparisonBigObject  Xexclude from comparisonElasticsearch  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 graphAnalytic DBMS for real-time computations and queriesA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Relational DBMS infoa hierachical model (tree) can be imposedSearch engineSearch engine
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Vector DBMS
Vector 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
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybangdb.combigobject.iowww.elastic.co/­elasticsearchazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.bangdb.comdocs.bigobject.iowww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperAtos Convergence CreatorsSachin Sinha, BangDBBigObject, Inc.ElasticMicrosoft
Initial release20162012201520102015
Current release1703BangDB 2.0, October 20218.6, January 2023V1
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercial infofree community edition availableOpen Source infoElastic Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++Java
Server operating systemsLinuxLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMhosted
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateoptionalyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL like support with command line toolSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsLDAPProprietary protocol
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Java
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoLuayesno
Triggersyesyes, Notifications (with Streaming only)noyes infoby using the 'percolation' featureno
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 algorithmnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)noneyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglynoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynonoyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
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 modeyesMemcached and Redis integrationno
User concepts infoAccess controlLDAP bind authenticationyes (enterprise version only)noyes infousing Azure authentication

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More resources
Atos Standard Common RepositoryBangdbBigObjectElasticsearchMicrosoft Azure AI Search
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