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DBMS > Atos Standard Common Repository vs. Databend vs. Hawkular Metrics vs. Kdb

System Properties Comparison Atos Standard Common Repository vs. Databend vs. Hawkular Metrics vs. Kdb

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabend  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKdb  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 networksAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.High performance Time Series DBMS
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­datafuselabs/­databend
www.databend.com
www.hawkular.orgkx.com
Technical documentationdocs.databend.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecode.kx.com
DeveloperAtos Convergence CreatorsDatabend LabsCommunity supported by Red HatKx Systems, a division of First Derivatives plc
Initial release2016202120142000 infokdb was released 2000, kdb+ in 2003
Current release17031.0.59, April 20233.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree 32-bit version
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 languageJavaRustJavaq
Server operating systemsLinuxhosted
Linux
macOS
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesnonoyes
Secondary indexesyesnonoyes infotable attribute 'grouped'
SQL infoSupport of SQLnoyesnoSQL-like query language (q)
APIs and other access methodsLDAPCLI Client
JDBC
RESTful HTTP API
HTTP RESTHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
Rust
Go
Java
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnononouser defined functions
Triggersyesnoyes infovia Hawkular Alertingyes infowith views
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding infobased on Cassandrahorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processing
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 Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesnono
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.yesnoyes
User concepts infoAccess controlLDAP bind authenticationUsers with fine-grained authorization concept, user rolesnorights management via user accounts
More information provided by the system vendor
Atos Standard Common RepositoryDatabendHawkular MetricsKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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Atos Standard Common RepositoryDatabendHawkular MetricsKdb
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