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DBMS > Apache Druid vs. Graphite vs. Ignite vs. InfluxDB vs. RDF4J

System Properties Comparison Apache Druid vs. Graphite vs. Ignite vs. InfluxDB vs. RDF4J

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGraphite  Xexclude from comparisonIgnite  Xexclude from comparisonInfluxDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.DBMS for storing time series, events and metricsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSKey-value store
Relational DBMS
Time Series DBMSRDF store
Secondary database modelsSpatial DBMS infowith GEO package
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
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitedruid.apache.orggithub.com/­graphite-project/­graphite-webignite.apache.orgwww.influxdata.com/­products/­influxdb-overviewrdf4j.org
Technical documentationdruid.apache.org/­docs/­latest/­designgraphite.readthedocs.ioapacheignite.readme.io/­docsdocs.influxdata.com/­influxdbrdf4j.org/­documentation
DeveloperApache Software Foundation and contributorsChris DavisApache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20122006201520132004
Current release29.0.1, April 2024Apache Ignite 2.62.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++, Java, .NetGoJava
Server operating systemsLinux
OS X
Unix
Linux
Unix
Linux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
Linux
OS X
Unix
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesNumeric data onlyyesNumeric data and Stringsyes
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.nonoyesno
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL for queryingnoANSI-99 for query and DML statements, subset of DDLSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP API
Sockets
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)noyes
Triggersnonoyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyes (replicated cache)selectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoDepending on used storage engine
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoSecurity Hooks for custom implementationssimple rights management via user accountsno
More information provided by the system vendor
Apache DruidGraphiteIgniteInfluxDBRDF4J infoformerly known as Sesame
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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