DBMS > Elasticsearch vs. EsgynDB vs. JSqlDb

System Properties Comparison Elasticsearch vs. EsgynDB vs. JSqlDb

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Editorial information provided by DB-Engines
Name	Elasticsearch  Xexclude from comparison	EsgynDB  Xexclude from comparison	JSqlDb  Xexclude from comparison
			JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
Description	A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	JavaScript Query Language Database, stores JavaScript objects and primitives
Primary database model	Search engine	Relational DBMS	Document store Object oriented DBMS
Secondary database models	Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 154.33 Rank #8   Overall #1   Search engines	Score 0.18 Rank #294   Overall #138   Relational DBMS
Website	www.elastic.co/­elasticsearch	www.esgyn.cn	jsqldb.org (offline)
Technical documentation	www.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
Developer	Elastic	Esgyn	Konrad von Backstrom
Initial release	2010	2015	2018
Current release	7.8.0, June 2020		0.8, December 2018
License Commercial or Open Source	Open Source Elastic License	commercial	Open Source
Cloud-based only Only available as a cloud service	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++, Java
Server operating systems	All OS with a Java VM	Linux	Linux macOS Windows
Data scheme	schema-free Flexible type definitions. Once a type is defined, it is persistent	yes	schema-free
Typing predefined data types such as float or date	yes	yes	no
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	no
Secondary indexes	yes All search fields are automatically indexed	yes	no
SQL Support of SQL	SQL-like query language	yes	no
APIs and other access methods	Java API RESTful HTTP/JSON API	ADO.NET JDBC ODBC
Supported programming languages	.Net Groovy Community Contributed Clients Java JavaScript Perl PHP Python Ruby	All languages supporting JDBC/ODBC/ADO.Net	JavaScript
Server-side scripts Stored procedures	yes	Java Stored Procedures	functions in JavaScript
Triggers	yes by using the 'percolation' feature	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication between multi datacenters	none
MapReduce Offers an API for user-defined Map/Reduce methods	ES-Hadoop Connector	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all	Immediate Consistency
Foreign keys Referential integrity	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes
Durability Support for making data persistent	yes	yes	yes using RocksDB
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	Memcached and Redis integration	no
User concepts Access control		fine grained access rights according to SQL-standard
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More resources
	Elasticsearch	EsgynDB	JSqlDb
DB-Engines blog posts	PostgreSQL is the DBMS of the Year 2017 2 January 2018, Paul Andlinger, Matthias Gelbmann Elasticsearch moved into the top 10 most popular database management systems 3 July 2017, Matthias Gelbmann MySQL, PostgreSQL and Redis are the winners of the March ranking 2 March 2016, Paul Andlinger show all