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DBMS > Atos Standard Common Repository vs. Datastax Enterprise vs. Hive vs. LevelDB

System Properties Comparison Atos Standard Common Repository vs. Datastax Enterprise vs. Hive vs. LevelDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonHive  Xexclude from comparisonLevelDB  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 networksDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.data warehouse software for querying and managing large distributed datasets, built on HadoopEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelDocument store
Key-value store
Wide column storeRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.31
Rank#57  Overall
#4  Wide column stores
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datastax.com/­products/­datastax-enterprisehive.apache.orggithub.com/­google/­leveldb
Technical documentationdocs.datastax.comcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperAtos Convergence CreatorsDataStaxApache Software Foundation infoinitially developed by FacebookGoogle
Initial release2016201120122011
Current release17036.8, April 20203.1.3, April 20221.23, February 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsLinuxLinux
OS X
All OS with a Java VMIllumos
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesno
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.yesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLSQL-like DML and DDL statementsno
APIs and other access methodsLDAPProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
Thrift
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
PHP
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceno
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infono "single point of failure"Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter aware, advanced replication for edge computingselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infoAtomicity and isolation are supported for single operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per objectAccess rights for users, groups and rolesno
More information provided by the system vendor
Atos Standard Common RepositoryDatastax EnterpriseHiveLevelDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Atos Standard Common RepositoryDatastax EnterpriseHiveLevelDB
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