DBMS > Apache Doris vs. OrientDB vs. Solr

System Properties Comparison Apache Doris vs. OrientDB vs. Solr

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Editorial information provided by DB-Engines
Name	Apache Doris  Xexclude from comparison	OrientDB  Xexclude from comparison	Solr  Xexclude from comparison
Description	An MPP-based analytics DBMS embracing the MySQL protocol	Multi-model DBMS (Document, Graph, Key/Value)	A widely used distributed, scalable search engine based on Apache Lucene
Primary database model	Relational DBMS	Document store Graph DBMS Key-value store	Search engine
Secondary database models			Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.27 Rank #273   Overall #127   Relational DBMS	Score 4.67 Rank #80   Overall #14   Document stores #5   Graph DBMS #12   Key-value stores	Score 55.70 Rank #20   Overall #3   Search engines
Website	doris.apache.org github.com/­apache/­doris	orientdb.org	lucene.apache.org/­solr
Technical documentation	github.com/­apache/­doris/­wiki	www.orientdb.com/­docs/­last/­index.html	lucene.apache.org/­solr/­resources.html
Developer	Apache Software Foundation, originally contributed from Baidu	OrientDB LTD; CallidusCloud; SAP	Apache Software Foundation
Initial release	2017	2010	2006
Current release	0.14, May 2021	3.1.9, February 2021	9.0.0, May 2022
License Commercial or Open Source	Open Source Apache Version 2.0	Open Source Apache version 2	Open Source Apache Version 2
Cloud-based only Only available as a cloud service	no	no	no
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Implementation language	Java	Java	Java
Server operating systems	Linux	All OS with a Java JDK (>= JDK 6)	All OS with a Java VM runs as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data scheme	yes	schema-free Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")	yes Dynamic Fields enables on-the-fly addition of new fields
Typing predefined data types such as float or date	yes	yes	yes supports customizable data types and automatic typing
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	no	yes
Secondary indexes	yes	yes	yes All search fields are automatically indexed
SQL Support of SQL	yes	SQL-like query language, no joins	Solr Parallel SQL Interface
APIs and other access methods	JDBC MySQL client	Tinkerpop technology stack with Blueprints, Gremlin, Pipes Java API RESTful HTTP/JSON API	Java API RESTful HTTP/JSON API
Supported programming languages	Java	.Net C C# C++ Clojure Java JavaScript JavaScript (Node.js) PHP Python Ruby Scala	.Net Erlang Java JavaScript any language that supports sockets and either XML or JSON Perl PHP Python Ruby Scala
Server-side scripts Stored procedures	user defined functions	Java, Javascript	Java plugins
Triggers	no	Hooks	yes User configurable commands triggered on index changes
Partitioning methods Methods for storing different data on different nodes	horizontal partitioning	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	none	Multi-source replication	yes
MapReduce Offers an API for user-defined Map/Reduce methods	no	no could be achieved with distributed queries	spark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency		Eventual Consistency
Foreign keys Referential integrity	no	yes relationship in graphs	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data		ACID	optimistic locking
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no		yes
User concepts Access control	fine grained access rights according to SQL-standard	Access rights for users and roles; record level security configurable	yes
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	Apache Doris	OrientDB	Solr
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