DBMS > Datomic vs. Kdb+ vs. OrientDB

System Properties Comparison Datomic vs. Kdb+ vs. OrientDB

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Editorial information provided by DB-Engines
Name	Datomic  Xexclude from comparison	Kdb+  Xexclude from comparison	OrientDB  Xexclude from comparison
Description	Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability	High performance Time Series DBMS	Multi-model DBMS (Document, Graph, Key/Value)
Primary database model	Relational DBMS	Time Series DBMS	Document store Graph DBMS Key-value store
Secondary database models		Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.68 Rank #135   Overall #67   Relational DBMS	Score 9.18 Rank #52   Overall #2   Time Series DBMS	Score 4.67 Rank #80   Overall #14   Document stores #5   Graph DBMS #12   Key-value stores
Website	www.datomic.com	kx.com	orientdb.org
Technical documentation	docs.datomic.com	code.kx.com	www.orientdb.com/­docs/­last/­index.html
Developer	Cognitect	Kx Systems, a division of First Derivatives plc	OrientDB LTD; CallidusCloud; SAP
Initial release	2012	2000 kdb was released 2000, kdb+ in 2003	2010
Current release	1.0.6362, January 2022	3.6, May 2018	3.1.9, February 2021
License Commercial or Open Source	commercial limited edition free	commercial free 32-bit version	Open Source Apache version 2
Cloud-based only Only available as a cloud service	no	no	no
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Implementation language	Java, Clojure	q	Java
Server operating systems	All OS with a Java VM	Linux OS X Solaris Windows	All OS with a Java JDK (>= JDK 6)
Data scheme	yes	yes	schema-free Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing predefined data types such as float or date	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	yes	no
Secondary indexes	yes	yes table attribute 'grouped'	yes
SQL Support of SQL	no	SQL-like query language (q)	SQL-like query language, no joins
APIs and other access methods	RESTful HTTP API	HTTP API JDBC Jupyter Kafka ODBC WebSocket	Tinkerpop technology stack with Blueprints, Gremlin, Pipes Java API RESTful HTTP/JSON API
Supported programming languages	Clojure Java	C C# C++ Go J Java JavaScript Lua MatLab Perl PHP Python R Scala	.Net C C# C++ Clojure Java JavaScript JavaScript (Node.js) PHP Python Ruby Scala
Server-side scripts Stored procedures	yes Transaction Functions	user defined functions	Java, Javascript
Triggers	By using transaction functions	yes with views	Hooks
Partitioning methods Methods for storing different data on different nodes	none But extensive use of caching in the application peers	horizontal partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	none But extensive use of caching in the application peers	Source-replica replication	Multi-source replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no similar paradigm used for internal processing	no could be achieved with distributed queries
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	yes relationship in graphs
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes recommended only for testing and development	yes
User concepts Access control	no	rights management via user accounts	Access rights for users and roles; record level security configurable
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	Datomic	Kdb+	OrientDB
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