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DBMS > Apache Druid vs. DataFS vs. Hawkular Metrics vs. RRDtool

System Properties Comparison Apache Druid vs. DataFS vs. Hawkular Metrics vs. RRDtool

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDataFS  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Industry 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 DBMS
Time Series DBMS
Object oriented DBMSTime Series DBMSTime Series DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitedruid.apache.orgnewdatabase.comwww.hawkular.orgoss.oetiker.ch/­rrdtool
Technical documentationdruid.apache.org/­docs/­latest/­designdev.mobiland.com/­Overview.xspwww.hawkular.org/­hawkular-metrics/­docs/­user-guideoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation and contributorsMobiland AGCommunity supported by Red HatTobias Oetiker
Initial release2012201820141999
Current release29.0.1, April 20241.1.263, October 20221.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
OS X
Unix
WindowsLinux
OS X
Windows
HP-UX
Linux
Data schemeyes infoschema-less columns are supportedClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumeric 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 indexesyesnonono
SQL infoSupport of SQLSQL for queryingnonono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.NET Client API
Proprietary client DLL
WinRT client
HTTP RESTin-process shared library
Pipes
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
VB.Net
Go
Java
Python
Ruby
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 proceduresnonono
Triggersnono, except callback-events from server when changes happenedyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedProprietary Sharding systemSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
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.nononoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemWindows-Profilenono

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More resources
Apache DruidDataFSHawkular MetricsRRDtool
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