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DBMS > IRONdb vs. KairosDB vs. Kinetica vs. Linter vs. Titan

System Properties Comparison IRONdb vs. KairosDB vs. Kinetica vs. Linter vs. Titan

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonKairosDB  Xexclude from comparisonKinetica  Xexclude from comparisonLinter  Xexclude from comparisonTitan  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDistributed Time Series DBMS based on Cassandra or H2Fully vectorized database across both GPUs and CPUsRDBMS for high security requirementsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/github.com/­kairosdb/­kairosdbwww.kinetica.comlinter.rugithub.com/­thinkaurelius/­titan
Technical documentationdocs.circonus.com/irondb/category/getting-startedkairosdb.github.iodocs.kinetica.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperCirconus LLC.Kineticarelex.ruAurelius, owned by DataStax
Initial release20172013201219902012
Current releaseV0.10.20, January 20181.2.2, November 20187.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC, C++C and C++Java
Server operating systemsLinuxLinux
OS X
Windows
LinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesyesyes
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
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like DML and DDL statementsyesno
APIs and other access methodsHTTP APIGraphite protocol
HTTP REST
Telnet API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Clojure
Java
Python
Server-side scripts infoStored proceduresyes, in Luanouser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQLyes
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infobased on CassandraShardingnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareselectable replication factor infobased on CassandraSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlnosimple password-based access controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
IRONdbKairosDBKineticaLinterTitan
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