DBMS > Elasticsearch vs. NSDb vs. SAP Advantage Database Server

System Properties Comparison Elasticsearch vs. NSDb vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Elasticsearch  Xexclude from comparison	NSDb  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  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	Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Search engine	Time Series DBMS	Relational 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 0.00 Rank #356   Overall #32   Time Series DBMS	Score 3.59 Rank #92   Overall #48   Relational DBMS
Website	www.elastic.co/­elasticsearch	nsdb.io	www.sap.com/­products/­advantage-database-server.html
Technical documentation	www.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html	nsdb.io/­Architecture
Developer	Elastic		Sybase, SAP
Initial release	2010	2017	1993
Current release	7.8.0, June 2020
License Commercial or Open Source	Open Source Elastic License	Open Source Apache Version 2.0	commercial
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	Linux Windows
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: int, bigint, decimal, string	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	no	no
Secondary indexes	yes All search fields are automatically indexed	all fields are automatically indexed	yes
SQL Support of SQL	SQL-like query language	SQL-like query language	yes
APIs and other access methods	Java API RESTful HTTP/JSON API	gRPC HTTP REST WebSocket	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	.Net Groovy Community Contributed Clients Java JavaScript Perl PHP Python Ruby	Java Scala	Delphi Perl PHP
Server-side scripts Stored procedures	yes	no	yes
Triggers	yes by using the 'percolation' feature		yes
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 CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	ES-Hadoop Connector	no	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	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	Using Apache Lucene	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	Memcached and Redis integration		no caching of (temporary) tables can be configured
User concepts Access control			fine grained access rights according to SQL-standard
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More resources
	Elasticsearch	NSDb	SAP Advantage Database Server former name: Sybase ADS
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