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

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

Editorial information provided by DB-Engines
NameKairosDB  Xexclude from comparisonKinetica  Xexclude from comparisonLinter  Xexclude from comparisonSolr  Xexclude from comparisonTitan  Xexclude from comparison
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.
DescriptionDistributed Time Series DBMS based on Cassandra or H2Fully vectorized database across both GPUs and CPUsRDBMS for high security requirementsA widely used distributed, scalable search engine based on Apache LuceneTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelTime Series DBMSRelational DBMSRelational DBMSSearch engineGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMSSpatial 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
Score42.91
Rank#24  Overall
#3  Search engines
Websitegithub.com/­kairosdb/­kairosdbwww.kinetica.comlinter.rusolr.apache.orggithub.com/­thinkaurelius/­titan
Technical documentationkairosdb.github.iodocs.kinetica.comsolr.apache.org/­resources.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperKineticarelex.ruApache Software FoundationAurelius, owned by DataStax
Initial release20132012199020062012
Current release1.2.2, November 20187.1, August 20219.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2Open 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 languageJavaC, C++C and C++JavaJava
Server operating systemsLinux
OS X
Windows
LinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes
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.nononoyes
Secondary indexesnoyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSolr Parallel SQL Interfaceno
APIs and other access methodsGraphite protocol
HTTP REST
Telnet API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJava
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresnouser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQLJava pluginsyes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnoneShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDoptimistic lockingACID
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.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlsimple password-based access controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardyesUser authentification and security via Rexster Graph Server

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More resources
KairosDBKineticaLinterSolrTitan
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