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DBMS > Atos Standard Common Repository vs. Druid vs. Hawkular Metrics

System Properties Comparison Atos Standard Common Repository vs. Druid vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDruid  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksOpen-source analytics data store designed for OLAP queries on timeseries dataHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelDocument store
Key-value store
Relational DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#344  Overall
#49  Document stores
#63  Key-value stores
Score1.79
Rank#117  Overall
#58  Relational DBMS
#7  Time Series DBMS
Score0.07
Rank#310  Overall
#24  Time Series DBMS
Websiteatos.net/­en/­convergence-creators/­portfolio/­standard-common-repositorydruid.apache.orgwww.hawkular.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperAtos Convergence CreatorsMetamarkets Group and contributorsCommunity supported by Red Hat
Initial release201620122014
Current release1703
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsLinuxLinux
OS X
Unix
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyes infoschema-less columns are supportedschema-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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL support via Apache Calcite adapterno
APIs and other access methodsLDAPJSON over HTTPHTTP REST
Supported programming languagesAll languages with LDAP bindingsClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersyesnoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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
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.yesnono
User concepts infoAccess controlLDAP bind authenticationno infoavailable via extensionsno

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More resources
Atos Standard Common RepositoryDruidHawkular Metrics
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