DBMS > Google Cloud Firestore vs. NSDb vs. SAP Advantage Database Server vs. TimesTen

System Properties Comparison Google Cloud Firestore vs. NSDb vs. SAP Advantage Database Server vs. TimesTen

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Editorial information provided by DB-Engines
Name	Google Cloud Firestore  Xexclude from comparison	NSDb  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	TimesTen  Xexclude from comparison
			SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.	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	In-Memory RDBMS compatible to Oracle
Primary database model	Document store	Time Series DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 7.36 Rank #53   Overall #9   Document stores	Score 0.08 Rank #369   Overall #40   Time Series DBMS		Score 1.36 Rank #161   Overall #75   Relational DBMS
Website	firebase.google.com/­products/­firestore	nsdb.io	www.sap.com/products/advantage-database-server.html	www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentation	firebase.google.com/­docs/­firestore	nsdb.io/­Architecture		docs.oracle.com/­database/­timesten-18.1
Developer	Google		Sybase, SAP	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release	2017	2017	1993	1998
Current release				11 Release 2 (11.2.2.8.0)
License Commercial or Open Source	commercial	Open Source Apache Version 2.0	commercial	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java, Scala
Server operating systems	hosted	Linux macOS	Linux Windows	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows
Data scheme	schema-free		yes	yes
Typing predefined data types such as float or date	yes	yes: int, bigint, decimal, string	yes	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	all fields are automatically indexed	yes	yes
SQL Support of SQL	no	SQL-like query language	yes	yes
APIs and other access methods	Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API	gRPC HTTP REST WebSocket	.NET Client API ADO.NET JDBC ODBC OLE DB	JDBC ODBC ODP.NET Oracle Call Interface (OCI)
Supported programming languages	Go Java JavaScript JavaScript (Node.js) Objective-C Python	Java Scala	Delphi Perl PHP	C C++ Java PL/SQL
Server-side scripts Stored procedures	yes, Firebase Rules & Cloud Functions	no	yes	PL/SQL
Triggers	yes, with Cloud Functions		yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	none	none
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication		Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	Using Cloud Dataflow	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	yes	no	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	Using Apache Lucene	yes	yes by means of logfiles and checkpoints
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.			no caching of (temporary) tables can be configured	yes
User concepts Access control	Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.		fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Google Cloud Firestore	NSDb	SAP Advantage Database Server former name: Sybase ADS	TimesTen
DB-Engines blog posts	Cloud-based DBMS's popularity grows at high rates 12 December 2019, Paul Andlinger show all
Recent citations in the news	Realtime vs Cloud Firestore: Which Firebase Database to go? 8 March 2024, Appinventiv Google launches Firebase Genkit, a new open source framework for building AI-powered apps 14 May 2024, Yahoo Canada Finance Google's Cloud Firestore is now generally available 31 January 2019, ZDNet Google launches Cloud Firestore, a new document database for app developers 3 October 2017, TechCrunch Google's Cloud-Native NoSQL Database Cloud Firestore Is Now Generally Available 8 February 2019, InfoQ.com 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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