DBMS > dBASE vs. Google Cloud Firestore vs. Lovefield vs. Yaacomo

System Properties Comparison dBASE vs. Google Cloud Firestore vs. Lovefield vs. Yaacomo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	dBASE  Xexclude from comparison	Google Cloud Firestore  Xexclude from comparison	Lovefield  Xexclude from comparison	Yaacomo  Xexclude from comparison
Description	dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.	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.	Embeddable relational database for web apps written in pure JavaScript	OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database model	Relational DBMS	Document store	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 14.38 Rank #42   Overall #26   Relational DBMS	Score 9.25 Rank #52   Overall #10   Document stores	Score 0.23 Rank #286   Overall #134   Relational DBMS	Score 0.01 Rank #356   Overall #155   Relational DBMS
Website	www.dbase.com	firebase.google.com/­products/­firestore	google.github.io/­lovefield	yaacomo.com
Technical documentation	www.dbase.com/­support/­knowledgebase	firebase.google.com/­docs/­firestore	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Developer	Asthon Tate	Google	Google	Q2WEB GmbH
Initial release	1979	2017	2014	2009
Current release	dBASE 2019, 2019		2.1.12, February 2017
License Commercial or Open Source	commercial	commercial	Open Source Apache 2.0	commercial
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language			JavaScript
Server operating systems	DOS dBase Classic Windows dBase Pro	hosted	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari	Android Linux Windows
Data scheme	yes	schema-free	yes	yes
Typing predefined data types such as float or date	yes	yes	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
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	no	SQL-like query language via JavaScript builder pattern	yes
APIs and other access methods	none The IDE can access other DBMS or ODBC-sources.	Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API		JDBC ODBC
Supported programming languages	dBase proprietary IDE	Go Java JavaScript JavaScript (Node.js) Objective-C Python	JavaScript
Server-side scripts Stored procedures	no The IDE can access stored procedures in other database systems.	yes, Firebase Rules & Cloud Functions	no
Triggers	no	yes, with Cloud Functions	Using read-only observers	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding	none	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	none	Multi-source replication	none	Source-replica replication
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
Foreign keys Referential integrity	yes	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no not for dBase internal data, but IDE does support transactions when accessing external DBMS	yes	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.			yes using MemoryDB	yes
User concepts Access control	Access rights for users and roles	Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.	no	fine grained access rights according to SQL-standard
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	dBASE	Google Cloud Firestore	Lovefield	Yaacomo
DB-Engines blog posts	DB-Engines Ranking coverage expanded to 169 database management systems 3 June 2013, Paul Andlinger show all	Cloud-based DBMS's popularity grows at high rates 12 December 2019, Paul Andlinger show all