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DBMS > KairosDB vs. Kinetica vs. Oracle Coherence vs. Tarantool

System Properties Comparison KairosDB vs. Kinetica vs. Oracle Coherence vs. Tarantool

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Editorial information provided by DB-Engines
NameKairosDB  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionDistributed Time Series DBMS based on Cassandra or H2Fully vectorized database across both GPUs and CPUsOracles in-memory data grid solutionIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelTime Series DBMSRelational DBMSKey-value storeDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS infowith Tarantool/GIS extension
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
Score1.92
Rank#130  Overall
#22  Key-value stores
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websitegithub.com/­kairosdb/­kairosdbwww.kinetica.comwww.oracle.com/­java/­coherencewww.tarantool.io
Technical documentationkairosdb.github.iodocs.kinetica.comdocs.oracle.com/­en/­middleware/­standalone/­coherencewww.tarantool.io/­en/­doc
DeveloperKineticaOracleVK
Initial release2013201220072008
Current release1.2.2, November 20187.1, August 202114.1, August 20232.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaC and C++
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VMBSD
Linux
macOS
Data schemeschema-freeyesschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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 indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoFull-featured ANSI SQL support
APIs and other access methodsGraphite protocol
HTTP REST
Telnet API
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
Open binary protocol
Supported programming languagesJava
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Java
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnouser defined functionsnoLua, C and SQL stored procedures
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoLive Eventsyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyes, with selectable consistency levelAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 configurationEventual Consistency
Immediate Consistency
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoconfigurableACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes infooptionallyyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlsimple password-based access controlAccess rights for users and roles on table levelauthentification to access the cache via certificates or http basic authenticationAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
KairosDBKineticaOracle CoherenceTarantool
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Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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