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DBMS > Atos Standard Common Repository vs. etcd vs. Hawkular Metrics vs. SiteWhere vs. Teradata

System Properties Comparison Atos Standard Common Repository vs. etcd vs. Hawkular Metrics vs. SiteWhere vs. Teradata

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSiteWhere  Xexclude from comparisonTeradata  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.M2M integration platform for persisting/querying time series dataA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Key-value store
Key-value storeTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time 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
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
www.hawkular.orggithub.com/­sitewhere/­sitewherewww.teradata.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.hawkular.org/­hawkular-metrics/­docs/­user-guidesitewhere1.sitewhere.io/­index.htmldocs.teradata.com
DeveloperAtos Convergence CreatorsCommunity supported by Red HatSiteWhereTeradata
Initial release2016201420101984
Current release17033.4, August 2019Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0commercial
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 languageJavaGoJavaJava
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
Linux
OS X
Windows
hosted
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freepredefined schemeyes
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.yesnononoyes
Secondary indexesyesnononoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonononoyes infoSQL 2016 + extensions
APIs and other access methodsLDAPgRPC
JSON over HTTP
HTTP RESTHTTP REST.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
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
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnononoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyes, watching key changesyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on CassandraSharding infobased on HBaseSharding infoHashing
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 Cassandraselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnononoACID
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.yesnononoyes
User concepts infoAccess controlLDAP bind authenticationnonoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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Atos Standard Common RepositoryetcdHawkular MetricsSiteWhereTeradata
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