DBMS > Elasticsearch vs. EXASOL vs. NSDb

System Properties Comparison Elasticsearch vs. EXASOL vs. NSDb

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Editorial information provided by DB-Engines
Name	Elasticsearch  Xexclude from comparison	EXASOL  Xexclude from comparison	NSDb  Xexclude from comparison
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	High-performance, in-memory, MPP database specifically designed for in-memory analytics.	Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database model	Search engine	Relational DBMS	Time Series DBMS
Secondary database models	Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 156.00 Rank #8   Overall #1   Search engines	Score 2.97 Rank #103   Overall #53   Relational DBMS	Score 0.00 Rank #363   Overall #34   Time Series DBMS
Website	www.elastic.co/­elasticsearch	www.exasol.com	nsdb.io
Technical documentation	www.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html	www.exasol.com/­resources	nsdb.io/­Architecture
Developer	Elastic	Exasol
Initial release	2010	2000	2017
Current release	7.8.0, June 2020
License Commercial or Open Source	Open Source Elastic License	commercial	Open Source Apache Version 2.0
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		Java, Scala
Server operating systems	All OS with a Java VM		Linux macOS
Data scheme	schema-free Flexible type definitions. Once a type is defined, it is persistent	yes
Typing predefined data types such as float or date	yes	yes	yes: int, bigint, decimal, string
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	all fields are automatically indexed
SQL Support of SQL	SQL-like query language	yes	SQL-like query language
APIs and other access methods	Java API RESTful HTTP/JSON API	.Net JDBC ODBC WebSocket	gRPC HTTP REST WebSocket
Supported programming languages	.Net Groovy Community Contributed Clients Java JavaScript Perl PHP Python Ruby	Java Lua Python R	Java Scala
Server-side scripts Stored procedures	yes	user defined functions	no
Triggers	yes by using the 'percolation' feature	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes
MapReduce Offers an API for user-defined Map/Reduce methods	ES-Hadoop Connector	yes Hadoop integration	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	Eventual Consistency
Foreign keys Referential integrity	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	Using Apache Lucene
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	Memcached and Redis integration	yes
User concepts Access control		Access rights for users, groups and roles according to SQL-standard
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More resources
	Elasticsearch	EXASOL	NSDb
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