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DBMS > Atos Standard Common Repository vs. Datomic vs. Elasticsearch vs. etcd vs. SiteWhere

System Properties Comparison Atos Standard Common Repository vs. Datomic vs. Elasticsearch vs. etcd vs. SiteWhere

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonElasticsearch  Xexclude from comparisonetcd  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 networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA 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 metricA distributed reliable key-value storeM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Key-value store
Relational DBMSSearch engineKey-value storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comwww.elastic.co/­elasticsearchetcd.io
github.com/­etcd-io/­etcd
github.com/­sitewhere/­sitewhere
Technical documentationdocs.datomic.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
sitewhere1.sitewhere.io/­index.html
DeveloperAtos Convergence CreatorsCognitectElasticSiteWhere
Initial release2016201220102010
Current release17031.0.6735, June 20238.6, January 20233.4, August 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoElastic LicenseOpen Source infoApache Version 2.0Open 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 languageJavaJava, ClojureJavaGoJava
Server operating systemsLinuxAll OS with a Java VMAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freepredefined scheme
Typing infopredefined data types such as float or dateoptionalyesyesnoyes
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 indexesyesyesyes infoAll search fields are automatically indexednono
SQL infoSupport of SQLnonoSQL-like query languagenono
APIs and other access methodsLDAPRESTful HTTP APIJava API
RESTful HTTP/JSON API
gRPC
JSON over HTTP
HTTP REST
Supported programming languagesAll languages with LDAP bindingsClojure
Java
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesno
TriggersyesBy using transaction functionsyes infoby using the 'percolation' featureyes, watching key changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone infoBut extensive use of caching in the application peersShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentMemcached and Redis integrationnono
User concepts infoAccess controlLDAP bind authenticationnonoUsers with fine-grained authorization concept

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More resources
Atos Standard Common RepositoryDatomicElasticsearchetcdSiteWhere
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