DBMS > EJDB vs. Google Cloud Firestore vs. SAP Advantage Database Server vs. Tkrzw

System Properties Comparison EJDB vs. Google Cloud Firestore vs. SAP Advantage Database Server vs. Tkrzw

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Editorial information provided by DB-Engines
Name	EJDB  Xexclude from comparison	Google Cloud Firestore  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
			SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Embeddable document-store database library with JSON representation of queries (in MongoDB style)	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.	Low-cost RDBMS with access to ISAM and FoxPro data structures	A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database model	Document store	Document store	Relational DBMS	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.31 Rank #296   Overall #44   Document stores	Score 7.36 Rank #53   Overall #9   Document stores		Score 0.07 Rank #372   Overall #57   Key-value stores
Website	github.com/­Softmotions/­ejdb	firebase.google.com/­products/­firestore	www.sap.com/products/advantage-database-server.html	dbmx.net/­tkrzw
Technical documentation	github.com/­Softmotions/­ejdb/­blob/­master/­README.md	firebase.google.com/­docs/­firestore
Developer	Softmotions	Google	Sybase, SAP	Mikio Hirabayashi
Initial release	2012	2017	1993	2020
Current release				0.9.3, August 2020
License Commercial or Open Source	Open Source GPLv2	commercial	commercial	Open Source Apache Version 2.0
Cloud-based only Only available as a cloud service	no	yes	no	no
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Implementation language	C			C++
Server operating systems	server-less	hosted	Linux Windows	Linux macOS
Data scheme	schema-free	schema-free	yes	schema-free
Typing predefined data types such as float or date	yes string, integer, double, bool, date, object_id	yes	yes	no
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	no	yes	yes
SQL Support of SQL	no	no	yes	no
APIs and other access methods	in-process shared library	Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	Actionscript C C# C++ Go Java JavaScript (Node.js) Lua Objective-C Pike Python Ruby	Go Java JavaScript JavaScript (Node.js) Objective-C Python	Delphi Perl PHP	C++ Java Python Ruby
Server-side scripts Stored procedures	no	yes, Firebase Rules & Cloud Functions	yes	no
Triggers	no	yes, with Cloud Functions	yes	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding	none	none
Replication methods Methods for redundantly storing data on multiple nodes	none	Multi-source replication	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	Using Cloud Dataflow	no	no
Consistency concepts Methods to ensure consistency in a distributed system		Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no typically not needed, however similar functionality with collection joins possible	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	yes	ACID
Concurrency Support for concurrent manipulation of data	yes Read/Write Locking	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
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 using specific database classes
User concepts Access control	no	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	no
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More resources
	EJDB	Google Cloud Firestore	SAP Advantage Database Server former name: Sybase ADS	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet
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		Google's AI-First Strategy Brings Vector Support To Cloud Databases 1 March 2024, Forbes Realtime vs Cloud Firestore: Which Firebase Database to go? 8 March 2024, Appinventiv 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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