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DBMS > atoti vs. Hawkular Metrics vs. MonetDB vs. SWC-DB

System Properties Comparison atoti vs. Hawkular Metrics vs. MonetDB vs. SWC-DB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMonetDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A relational database management system that stores data in columnsA high performance, scalable Wide Column DBMS
Primary database modelObject oriented DBMSTime Series DBMSRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteatoti.iowww.hawkular.orgwww.monetdb.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.atoti.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.monetdb.org/­Documentation
DeveloperActiveViamCommunity supported by Red HatMonetDB BVAlex Kashirin
Initial release201420042020
Current releaseDec2023 (11.49), December 20230.5, April 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoGPL V3
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 languageJavaJavaCC++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes infoSQL 2003 with some extensionsSQL-like query language
APIs and other access methodsHTTP RESTJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary protocol
Thrift
Supported programming languagesGo
Java
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Server-side scripts infoStored proceduresPythonnoyes, in SQL, C, Rno
Triggersyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infobased on CassandraSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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 controlnofine grained access rights according to SQL-standard

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More resources
atotiHawkular MetricsMonetDBSWC-DB infoSuper Wide Column Database
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