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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHypertable  Xexclude from comparisonRavenDB  Xexclude from comparisonValentina Server  Xexclude from comparisonYDB  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 networksAn open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseObject-relational database and reports serverA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Key-value store
Wide column storeDocument storeRelational DBMSDocument store
Relational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#101  Overall
#18  Document stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryravendb.netwww.valentina-db.netgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationravendb.net/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpydb.tech/­en/­docs
DeveloperAtos Convergence CreatorsHypertable Inc.Hibernating RhinosParadigma SoftwareYandex
Initial release20162009201019992019
Current release17030.9.8.11, March 20165.4, July 20225.7.5
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license availablecommercialOpen Source infoApache 2.0; commercial license available
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 languageJavaC++C#
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateoptionalnonoyesyes
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 indexesyesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnonoSQL-like query language (RQL)yesSQL-like query language (YQL)
APIs and other access methodsLDAPC++ 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
ODBCRESTful HTTP API (DynamoDB compatible)
Supported programming languagesAll languages with LDAP bindingsC++
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
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnonoyesyesno
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelMulti-source replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate 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.Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID, Cluster-wide transaction availableACID
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.yesyesno
User concepts infoAccess controlLDAP bind authenticationnoAuthorization levels configured per client per databasefine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
Atos Standard Common RepositoryHypertableRavenDBValentina ServerYDB
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