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DBMS > Atos Standard Common Repository vs. BoltDB vs. Elasticsearch vs. GridDB vs. SiteWhere

System Properties Comparison Atos Standard Common Repository vs. BoltDB vs. Elasticsearch vs. GridDB vs. SiteWhere

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBoltDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonGridDB  Xexclude from comparisonSiteWhere  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 networksAn embedded key-value store for Go.A 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 metricScalable in-memory time series database optimized for IoT and Big DataM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Key-value store
Key-value storeSearch engineTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score135.35
Rank#7  Overall
#1  Search engines
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­boltdb/­boltwww.elastic.co/­elasticsearchgriddb.netgithub.com/­sitewhere/­sitewhere
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.griddb.netsitewhere1.sitewhere.io/­index.html
DeveloperAtos Convergence CreatorsElasticToshiba CorporationSiteWhere
Initial release20162013201020132010
Current release17038.6, January 20235.1, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoElastic LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoCommon Public Attribution License Version 1.0
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 languageJavaGoJavaC++Java
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinuxLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyespredefined scheme
Typing infopredefined data types such as float or dateoptionalnoyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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 indexesyesnoyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLnonoSQL-like query languageSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsLDAPJava API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP REST
Supported programming languagesAll languages with LDAP bindingsGo.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesno
Triggersyesnoyes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop ConnectorConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesnoACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoMemcached and Redis integrationyesno
User concepts infoAccess controlLDAP bind authenticationnoAccess rights for users can be defined per databaseUsers with fine-grained authorization concept
More information provided by the system vendor
Atos Standard Common RepositoryBoltDBElasticsearchGridDBSiteWhere
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Atos Standard Common RepositoryBoltDBElasticsearchGridDBSiteWhere
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