DBMS > BigObject vs. dBASE vs. Google Cloud Datastore vs. SAP SQL Anywhere

System Properties Comparison BigObject vs. dBASE vs. Google Cloud Datastore vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
Name	BigObject  Xexclude from comparison	dBASE  Xexclude from comparison	Google Cloud Datastore  Xexclude from comparison	SAP SQL Anywhere formerly called Adaptive Server Anywhere  Xexclude from comparison
Description	Analytic DBMS for real-time computations and queries	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.	Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform	RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database model	Relational DBMS a hierachical model (tree) can be imposed	Relational DBMS	Document store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.04 Rank #334   Overall #151   Relational DBMS	Score 14.38 Rank #42   Overall #26   Relational DBMS	Score 5.89 Rank #71   Overall #12   Document stores	Score 5.57 Rank #74   Overall #40   Relational DBMS
Website	bigobject.io	www.dbase.com	cloud.google.com/­datastore	www.sap.com/­products/­sql-anywhere.html
Technical documentation	docs.bigobject.io	www.dbase.com/­support/­knowledgebase	cloud.google.com/­datastore/­docs	help.sap.com/­sql-anywhere
Developer	BigObject, Inc.	Asthon Tate	Google	SAP formerly Sybase
Initial release	2015	1979	2008	1992
Current release		dBASE 2019, 2019		17, July 2015
License Commercial or Open Source	commercial free community edition available	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Server operating systems	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	DOS dBase Classic Windows dBase Pro	hosted	AIX HP-UX Linux OS X Solaris Windows
Data scheme	yes	yes	schema-free	yes
Typing predefined data types such as float or date	yes	yes	yes, details here	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
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	SQL-like DML and DDL statements	no	SQL-like query language (GQL)	yes
APIs and other access methods	fluentd ODBC RESTful HTTP API	none The IDE can access other DBMS or ODBC-sources.	gRPC (using protocol buffers) API RESTful HTTP/JSON API	ADO.NET HTTP API JDBC ODBC
Supported programming languages		dBase proprietary IDE	.Net Go Java JavaScript (Node.js) PHP Python Ruby	C C# C++ Delphi Java JavaScript (Node.js) Perl PHP Python Ruby
Server-side scripts Stored procedures	Lua	no The IDE can access stored procedures in other database systems.	using Google App Engine	yes, in C/C++, Java, .Net or Perl
Triggers	no	no	Callbacks using the Google Apps Engine	yes
Partitioning methods Methods for storing different data on different nodes	none	none	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	none	none	Multi-source replication using Paxos	Source-replica replication Database mirroring
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	yes using Google Cloud Dataflow	no
Consistency concepts Methods to ensure consistency in a distributed system	none		Immediate Consistency or Eventual Consistency depending on type of query and configuration Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.	Immediate Consistency
Foreign keys Referential integrity	yes automatically between fact table and dimension tables	yes	yes via ReferenceProperties or Ancestor paths	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no not for dBase internal data, but IDE does support transactions when accessing external DBMS	ACID Serializable Isolation within Transactions, Read Committed outside of Transactions	ACID
Concurrency Support for concurrent manipulation of data	yes Read/write lock on objects (tables, trees)	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.	yes		no	yes
User concepts Access control	no	Access rights for users and roles	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)	fine grained access rights according to SQL-standard
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More resources
	BigObject	dBASE	Google Cloud Datastore	SAP SQL Anywhere formerly called Adaptive Server Anywhere
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