DBMS > Galaxybase vs. NSDb vs. Oracle Berkeley DB vs. SAP Advantage Database Server

System Properties Comparison Galaxybase vs. NSDb vs. Oracle Berkeley DB vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Galaxybase  Xexclude from comparison	NSDb  Xexclude from comparison	Oracle Berkeley DB  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
				SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Scalable, ACID-compliant native distributed parallel graph platform	Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes	Widely used in-process key-value store	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Graph DBMS	Time Series DBMS	Key-value store supports sorted and unsorted key sets Native XML DBMS in the Oracle Berkeley DB XML version	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.07 Rank #377   Overall #40   Graph DBMS	Score 0.08 Rank #369   Overall #40   Time Series DBMS	Score 2.01 Rank #126   Overall #21   Key-value stores #3   Native XML DBMS
Website	galaxybase.com	nsdb.io	www.oracle.com/­database/­technologies/­related/­berkeleydb.html	www.sap.com/products/advantage-database-server.html
Technical documentation		nsdb.io/­Architecture	docs.oracle.com/­cd/­E17076_05/­html/­index.html
Developer	Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司		Oracle originally developed by Sleepycat, which was acquired by Oracle	Sybase, SAP
Initial release	2017	2017	1994	1993
Current release	Nov 20, November 2021		18.1.40, May 2020
License Commercial or Open Source	commercial	Open Source Apache Version 2.0	Open Source commercial license available	commercial
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C and Java	Java, Scala	C, Java, C++ (depending on the Berkeley DB edition)
Server operating systems	Linux	Linux macOS	AIX Android FreeBSD iOS Linux OS X Solaris VxWorks Windows	Linux Windows
Data scheme	Strong typed schema		schema-free	yes
Typing predefined data types such as float or date	yes	yes: int, bigint, decimal, string	no	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	yes only with the Berkeley DB XML edition	no
Secondary indexes	yes	all fields are automatically indexed	yes	yes
SQL Support of SQL	no	SQL-like query language	yes SQL interfaced based on SQLite is available	yes
APIs and other access methods	Browser interface console (shell) Graph API (Gremlin) OpenCypher Proprietary native API	gRPC HTTP REST WebSocket		.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	Go Java Python	Java Scala	.Net Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET others Third-party libraries to manipulate Berkeley DB files are available for many languages C C# C++ Java JavaScript (Node.js) 3rd party binding Perl Python Tcl	Delphi Perl PHP
Server-side scripts Stored procedures	user defined procedures and functions	no	no	yes
Triggers			yes only for the SQL API	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	none	none
Replication methods Methods for redundantly storing data on multiple nodes			Source-replica replication	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency		Immediate Consistency
Foreign keys Referential integrity	yes Relationships in graphs	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes		yes
Durability Support for making data persistent	yes	Using Apache Lucene	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes		yes	no caching of (temporary) tables can be configured
User concepts Access control	Role-based access control		no	fine grained access rights according to SQL-standard
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More resources
	Galaxybase	NSDb	Oracle Berkeley DB	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news			Margo Seltzer Named ACM Athena Lecturer for Technical and Mentoring Contributions 26 April 2023, Datanami ACM recognizes far-reaching technical achievements with special awards 26 May 2021, EurekAlert Oracle buys Sleepycat Software 14 February 2006, MarketWatch Database Trends Report: SQL Beats NoSQL, MySQL Most Popular -- ADTmag 5 March 2019, ADT Magazine Margo I. Seltzer | Berkman Klein Center 18 August 2020, Berkman Klein Center provided by Google News	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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