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DBMS > Datomic vs. EJDB vs. Hive vs. Kdb

System Properties Comparison Datomic vs. EJDB vs. Hive vs. Kdb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEJDB  Xexclude from comparisonHive  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)data warehouse software for querying and managing large distributed datasets, built on HadoopHigh performance Time Series DBMS
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitewww.datomic.comgithub.com/­Softmotions/­ejdbhive.apache.orgkx.com
Technical documentationdocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcwiki.apache.org/­confluence/­display/­Hive/­Homecode.kx.com
DeveloperCognitectSoftmotionsApache Software Foundation infoinitially developed by FacebookKx Systems, a division of First Derivatives plc
Initial release2012201220122000 infokdb was released 2000, kdb+ in 2003
Current release1.0.6735, June 20233.1.3, April 20223.6, May 2018
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGPLv2Open Source infoApache Version 2commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureCJavaq
Server operating systemsAll OS with a Java VMserver-lessAll OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyes
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.noyes
Secondary indexesyesnoyesyes infotable attribute 'grouped'
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language (q)
APIs and other access methodsRESTful HTTP APIin-process shared libraryJDBC
ODBC
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesClojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
PHP
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes infouser defined functions and integration of map-reduceuser defined functions
TriggersBy using transaction functionsnonoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyes
User concepts infoAccess controlnonoAccess rights for users, groups and rolesrights management via user accounts
More information provided by the system vendor
DatomicEJDBHiveKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
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DatomicEJDBHiveKdb
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