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DBMS > Atos Standard Common Repository vs. etcd vs. Hive vs. Lovefield vs. StarRocks

System Properties Comparison Atos Standard Common Repository vs. etcd vs. Hive vs. Lovefield vs. StarRocks

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisonHive  Xexclude from comparisonLovefield  Xexclude from comparisonStarRocks  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 networksA distributed reliable key-value storedata warehouse software for querying and managing large distributed datasets, built on HadoopEmbeddable relational database for web apps written in pure JavaScriptAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelDocument store
Key-value store
Key-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
hive.apache.orggoogle.github.io/­lovefieldwww.starrocks.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookGoogleThe Linux Foundation infosince Feb 2023
Initial release2016201220142020
Current release17033.4, August 20193.1.3, April 20222.1.12, February 20172.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache Version 2.0
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 languageJavaGoJavaJavaScriptC++, Java
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesyes
Typing infopredefined data types such as float or dateoptionalnoyesyesyes
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.yesnonono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsLDAPgRPC
JSON over HTTP
JDBC
ODBC
Thrift
JDBC
MySQL protocol
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C++
Java
PHP
Python
JavaScriptJava
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reducenouser defined functions
Triggersyesyes, watching key changesnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing MemoryDBno
User concepts infoAccess controlLDAP bind authenticationnoAccess rights for users, groups and rolesnoRole based access control and fine grained access rights

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More resources
Atos Standard Common RepositoryetcdHiveLovefieldStarRocks
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