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DBMS > Apache Druid vs. IBM Db2 warehouse vs. IRONdb vs. RDFox

System Properties Comparison Apache Druid vs. IBM Db2 warehouse vs. IRONdb vs. RDFox

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonIRONdb  Xexclude from comparisonRDFox  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCloud-based data warehousing serviceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitedruid.apache.orgwww.ibm.com/­products/­db2/­warehousewww.circonus.com/solutions/time-series-database/www.oxfordsemantic.tech
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.circonus.com/irondb/category/getting-starteddocs.oxfordsemantic.tech
DeveloperApache Software Foundation and contributorsIBMCirconus LLC.Oxford Semantic Technologies
Initial release2012201420172017
Current release29.0.1, April 2024V0.10.20, January 20186.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++
Server operating systemsLinux
OS X
Unix
hostedLinuxLinux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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 infoImport/export of XML data possibleno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL for queryingyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
OLE DB
HTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
Java
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLyes, in Lua
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesconfigurable replication factor, datacenter awarereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardnoRoles, resources, and access types

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More resources
Apache DruidIBM Db2 warehouse infoformerly named IBM dashDBIRONdbRDFox
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