DBMS > Galaxybase vs. IBM Db2 Event Store vs. NSDb vs. SAP Advantage Database Server

System Properties Comparison Galaxybase vs. IBM Db2 Event Store vs. NSDb vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Galaxybase  Xexclude from comparison	IBM Db2 Event Store  Xexclude from comparison	NSDb  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	Distributed Event Store optimized for Internet of Things use cases	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	Graph DBMS	Event Store Time Series DBMS	Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.07 Rank #377   Overall #40   Graph DBMS	Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS	Score 0.08 Rank #369   Overall #40   Time Series DBMS
Website	galaxybase.com	www.ibm.com/­products/­db2-event-store	nsdb.io	www.sap.com/products/advantage-database-server.html
Technical documentation		www.ibm.com/­docs/­en/­db2-event-store	nsdb.io/­Architecture
Developer	Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司	IBM		Sybase, SAP
Initial release	2017	2017	2017	1993
Current release	Nov 20, November 2021	2.0
License Commercial or Open Source	commercial	commercial free developer edition available	Open Source Apache Version 2.0	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	C and C++	Java, Scala
Server operating systems	Linux	Linux Linux, macOS, Windows for the developer addition	Linux macOS	Linux Windows
Data scheme	Strong typed schema	yes		yes
Typing predefined data types such as float or date	yes	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	no
Secondary indexes	yes	no	all fields are automatically indexed	yes
SQL Support of SQL	no	yes through the embedded Spark runtime	SQL-like query language	yes
APIs and other access methods	Browser interface console (shell) Graph API (Gremlin) OpenCypher Proprietary native API	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	gRPC HTTP REST WebSocket	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	Go Java Python	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic	Java Scala	Delphi Perl PHP
Server-side scripts Stored procedures	user defined procedures and functions	yes	no	yes
Triggers		no		yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes		Active-active shard 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	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	no	ACID
Concurrency Support for concurrent manipulation of data	yes	No - written data is immutable	yes	yes
Durability Support for making data persistent	yes	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	Using Apache Lucene	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	fine grained access rights according to SQL-standard		fine grained access rights according to SQL-standard
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More resources
	Galaxybase	IBM Db2 Event Store	NSDb	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news		Advancements in streaming data storage, real-time analysis and machine learning 25 July 2019, ibm.com IBM Builds New Ultra-Fast Platform for Hoovering Up and Analyzing Data from Anywhere 31 May 2018, Data Center Knowledge How IBM Is Turning Db2 into an 'AI Database' 3 June 2019, Datanami Best cloud databases of 2022 4 October 2022, ITPro 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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