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DBMS > Atos Standard Common Repository vs. EventStoreDB vs. Hive vs. Newts

System Properties Comparison Atos Standard Common Repository vs. EventStoreDB vs. Hive vs. Newts

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHive  Xexclude from comparisonNewts  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 networksIndustrial-strength, open-source database solution built from the ground up for event sourcing.data warehouse software for querying and managing large distributed datasets, built on HadoopTime Series DBMS based on Cassandra
Primary database modelDocument store
Key-value store
Event StoreRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.eventstore.comhive.apache.orgopennms.github.io/­newts
Technical documentationdevelopers.eventstore.comcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­OpenNMS/­newts/­wiki
DeveloperAtos Convergence CreatorsEvent Store LimitedApache Software Foundation infoinitially developed by FacebookOpenNMS Group
Initial release2016201220122014
Current release170321.2, February 20213.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinuxLinux
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyes
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 indexesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsLDAPJDBC
ODBC
Thrift
HTTP REST
Java API
Supported programming languagesAll languages with LDAP bindingsC++
Java
PHP
Python
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and rolesno

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More resources
Atos Standard Common RepositoryEventStoreDBHiveNewts
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