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DBMS > Datomic vs. EventStoreDB vs. KairosDB vs. Kinetica vs. Lovefield

System Properties Comparison Datomic vs. EventStoreDB vs. KairosDB vs. Kinetica vs. Lovefield

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEventStoreDB  Xexclude from comparisonKairosDB  Xexclude from comparisonKinetica  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityIndustrial-strength, open-source database solution built from the ground up for event sourcing.Distributed Time Series DBMS based on Cassandra or H2Fully vectorized database across both GPUs and CPUsEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSEvent StoreTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitewww.datomic.comwww.eventstore.comgithub.com/­kairosdb/­kairosdbwww.kinetica.comgoogle.github.io/­lovefield
Technical documentationdocs.datomic.comdevelopers.eventstore.comkairosdb.github.iodocs.kinetica.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperCognitectEvent Store LimitedKineticaGoogle
Initial release20122012201320122014
Current release1.0.6735, June 202321.2, February 20211.2.2, November 20187.1, August 20212.1.12, February 2017
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC, C++JavaScript
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsRESTful HTTP APIGraphite protocol
HTTP REST
Telnet API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
Java
Java
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresyes infoTransaction Functionsnouser defined functionsno
TriggersBy using transaction functionsnoyes infotriggers when inserted values for one or more columns fall within a specified rangeUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor infobased on CassandraSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes infoGPU vRAM or System RAMyes infousing MemoryDB
User concepts infoAccess controlnosimple password-based access controlAccess rights for users and roles on table levelno

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More resources
DatomicEventStoreDBKairosDBKineticaLovefield
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