DBMS > BigObject vs. Blueflood vs. dBASE vs. Google Cloud Datastore

System Properties Comparison BigObject vs. Blueflood vs. dBASE vs. Google Cloud Datastore

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	BigObject  Xexclude from comparison	Blueflood  Xexclude from comparison	dBASE  Xexclude from comparison	Google Cloud Datastore  Xexclude from comparison
Description	Analytic DBMS for real-time computations and queries	Scalable TimeSeries DBMS based on Cassandra	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
Primary database model	Relational DBMS a hierachical model (tree) can be imposed	Time Series DBMS	Relational DBMS	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.04 Rank #334   Overall #151   Relational DBMS	Score 0.00 Rank #361   Overall #33   Time Series DBMS	Score 14.38 Rank #42   Overall #26   Relational DBMS	Score 5.89 Rank #71   Overall #12   Document stores
Website	bigobject.io	blueflood.io	www.dbase.com	cloud.google.com/­datastore
Technical documentation	docs.bigobject.io	github.com/­rackerlabs/­blueflood/­wiki	www.dbase.com/­support/­knowledgebase	cloud.google.com/­datastore/­docs
Developer	BigObject, Inc.	Rackspace	Asthon Tate	Google
Initial release	2015	2013	1979	2008
Current release			dBASE 2019, 2019
License Commercial or Open Source	commercial free community edition available	Open Source Apache 2.0	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java
Server operating systems	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	Linux OS X	DOS dBase Classic Windows dBase Pro	hosted
Data scheme	yes	predefined scheme	yes	schema-free
Typing predefined data types such as float or date	yes	yes	yes	yes, details here
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	no	yes	yes
SQL Support of SQL	SQL-like DML and DDL statements	no	no	SQL-like query language (GQL)
APIs and other access methods	fluentd ODBC RESTful HTTP API	HTTP REST	none The IDE can access other DBMS or ODBC-sources.	gRPC (using protocol buffers) API RESTful HTTP/JSON API
Supported programming languages			dBase proprietary IDE	.Net Go Java JavaScript (Node.js) PHP Python Ruby
Server-side scripts Stored procedures	Lua	no	no The IDE can access stored procedures in other database systems.	using Google App Engine
Triggers	no	no	no	Callbacks using the Google Apps Engine
Partitioning methods Methods for storing different data on different nodes	none	Sharding based on Cassandra	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	none	selectable replication factor based on Cassandra	none	Multi-source replication using Paxos
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	yes using Google Cloud Dataflow
Consistency concepts Methods to ensure consistency in a distributed system	none	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra		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.
Foreign keys Referential integrity	yes automatically between fact table and dimension tables	no	yes	yes via ReferenceProperties or Ancestor paths
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	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
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		no
User concepts Access control	no	no	Access rights for users and roles	Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
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
	BigObject	Blueflood	dBASE	Google Cloud Datastore
DB-Engines blog posts