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DBMS > Atos Standard Common Repository vs. etcd vs. Hawkular Metrics vs. Percona Server for MongoDB vs. SiteWhere

System Properties Comparison Atos Standard Common Repository vs. etcd vs. Hawkular Metrics vs. Percona Server for MongoDB vs. SiteWhere

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSiteWhere  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 storeHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.M2M integration platform for persisting/querying time series data
Primary database modelDocument store
Key-value store
Key-value storeTime Series DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
www.hawkular.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­sitewhere/­sitewhere
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.percona.com/­percona-distribution-for-mongodbsitewhere1.sitewhere.io/­index.html
DeveloperAtos Convergence CreatorsCommunity supported by Red HatPerconaSiteWhere
Initial release2016201420152010
Current release17033.4, August 20193.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL Version 2Open Source infoCommon Public Attribution License Version 1.0
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 languageJavaGoJavaC++Java
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freepredefined scheme
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.yesnononono
Secondary indexesyesnonoyesno
SQL infoSupport of SQLnonononono
APIs and other access methodsLDAPgRPC
JSON over HTTP
HTTP RESTproprietary protocol using JSONHTTP REST
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
Go
Java
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnononoJavaScript
Triggersyesyes, watching key changesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on CassandraShardingSharding infobased on HBase
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 factor infobased on CassandraSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonoyes infovia In-Memory Engineno
User concepts infoAccess controlLDAP bind authenticationnonoAccess rights for users and rolesUsers with fine-grained authorization concept

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More resources
Atos Standard Common RepositoryetcdHawkular MetricsPercona Server for MongoDBSiteWhere
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