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DBMS > Drizzle vs. gStore vs. Heroic vs. Kinetica vs. RRDtool

System Properties Comparison Drizzle vs. gStore vs. Heroic vs. Kinetica vs. RRDtool

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisongStore  Xexclude from comparisonHeroic  Xexclude from comparisonKinetica  Xexclude from comparisonRRDtool  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A native Graph DBMS to store and maintain very large RDF datasets.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUsIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelRelational DBMSGraph DBMS
RDF store
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websiteen.gstore.cngithub.com/­spotify/­heroicwww.kinetica.comoss.oetiker.ch/­rrdtool
Technical documentationen.gstore.cn/­#/­enDocsspotify.github.io/­heroicdocs.kinetica.comoss.oetiker.ch/­rrdtool/­doc
DeveloperDrizzle project, originally started by Brian AkerSpotifyKineticaTobias Oetiker
Initial release20082016201420121999
Current release7.2.4, September 20121.2, November 20237.1, August 20211.8.0, 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoBSDOpen Source infoApache 2.0commercialOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaC, C++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxHP-UX
Linux
Data schemeyesschema-free and OWL/RDFS-schema supportschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesNumeric data only
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.nononono infoExporting into and restoring from XML files possible
Secondary indexesyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnonoSQL-like DML and DDL statementsno
APIs and other access methodsJDBCHTTP API
SPARQL 1.1
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
in-process shared library
Pipes
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
PHP
Python
C++
Java
JavaScript (Node.js)
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnoyesnouser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoby using the rrdcached daemon
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.nonoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissions, Role-Based Access Control (RBAC) supportedAccess rights for users and roles on table levelno

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More resources
DrizzlegStoreHeroicKineticaRRDtool
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