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DBMS > Apache IoTDB vs. Graphite vs. Ignite vs. Linter vs. RDFox

System Properties Comparison Apache IoTDB vs. Graphite vs. Ignite vs. Linter vs. RDFox

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGraphite  Xexclude from comparisonIgnite  Xexclude from comparisonLinter  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkData 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.RDBMS for high security requirementsHigh performance knowledge graph and semantic reasoning engine
Primary database modelTime Series DBMSTime Series DBMSKey-value store
Relational DBMS
Relational DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websiteiotdb.apache.orggithub.com/­graphite-project/­graphite-webignite.apache.orglinter.ruwww.oxfordsemantic.tech
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgraphite.readthedocs.ioapacheignite.readme.io/­docsdocs.oxfordsemantic.tech
DeveloperApache Software FoundationChris DavisApache Software Foundationrelex.ruOxford Semantic Technologies
Initial release20182006201519902017
Current release1.1.0, April 2023Apache Ignite 2.66.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++, Java, .NetC and C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Unix
Linux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS
Windows
Data schemeyesyesyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsJDBC
Native API
HTTP API
Sockets
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
Java
Server-side scripts infoStored proceduresyesnoyes (compute grid and cache interceptors can be used instead)yes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyesnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneyes (replicated cache)Source-replica replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
noneImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
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.yesyesyes
User concepts infoAccess controlyesnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardRoles, resources, and access types

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More resources
Apache IoTDBGraphiteIgniteLinterRDFox
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