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DBMS > Atos Standard Common Repository vs. Elasticsearch vs. Hypertable vs. RavenDB vs. Valentina Server

System Properties Comparison Atos Standard Common Repository vs. Elasticsearch vs. Hypertable vs. RavenDB vs. Valentina Server

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonElasticsearch  Xexclude from comparisonHypertable  Xexclude from comparisonRavenDB  Xexclude from comparisonValentina Server  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA 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 metricAn open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseObject-relational database and reports server
Primary database modelDocument store
Key-value store
Search engineWide column storeDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score2.84
Rank#101  Overall
#18  Document stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.elastic.co/­elasticsearchravendb.netwww.valentina-db.net
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlravendb.net/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAtos Convergence CreatorsElasticHypertable Inc.Hibernating RhinosParadigma Software
Initial release20162010200920101999
Current release17038.6, January 20230.9.8.11, March 20165.4, July 20225.7.5
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicenseOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license availablecommercial
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 languageJavaJavaC++C#
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesnonoyes
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.yesno
Secondary indexesyesyes infoAll search fields are automatically indexedrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language (RQL)yes
APIs and other access methodsLDAPJava API
RESTful HTTP/JSON API
C++ API
Thrift
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesnoyesyes
Triggersyesyes infoby using the 'percolation' featurenoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor on file system levelMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesMemcached and Redis integrationyes
User concepts infoAccess controlLDAP bind authenticationnoAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryElasticsearchHypertableRavenDBValentina Server
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