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DBMS > Atos Standard Common Repository vs. etcd vs. Hive vs. InfinityDB

System Properties Comparison Atos Standard Common Repository vs. etcd vs. Hive vs. InfinityDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisonHive  Xexclude from comparisonInfinityDB  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 HadoopA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelDocument store
Key-value store
Key-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.19
Rank#46  Overall
#5  Key-value stores
Score84.74
Rank#14  Overall
#9  Relational DBMS
Score0.03
Rank#338  Overall
#52  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
hive.apache.orgboilerbay.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cwiki.apache.org/­confluence/­display/­Hive/­Homeboilerbay.com/­infinitydb/­manual
DeveloperAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookBoiler Bay Inc.
Initial release201620122002
Current release17033.4, August 20193.1.2, August 20194.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJavaJava
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMAll OS with a Java VM
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateoptionalnoyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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 indexesyesnoyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsLDAPgRPC
JSON over HTTP
JDBC
ODBC
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
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
Java
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceno
Triggersyesyes, watching key changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnone
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 MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynononono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlLDAP bind authenticationnoAccess rights for users, groups and rolesno

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More resources
Atos Standard Common RepositoryetcdHiveInfinityDB
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