DBMS > dBASE vs. Google BigQuery vs. Kyligence Enterprise vs. RethinkDB vs. SpatiaLite

System Properties Comparison dBASE vs. Google BigQuery vs. Kyligence Enterprise vs. RethinkDB vs. SpatiaLite

Editorial information provided by DB-Engines

Name

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.

Large scale data warehouse service with append-only tables

A distributed analytics engine for big data, built on top of Apache Kylin

DBMS for the Web with a mechanism to push updated query results to applications in realtime.

Spatial extension of SQLite

Primary database model

Relational DBMS

Document store

Spatial DBMS

Secondary database models

Spatial DBMS

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	9.16
Rank	#43	Overall
	#27	Relational DBMS

Score	52.67
Rank	#19	Overall
	#13	Relational DBMS

Score	0.44
Rank	#259	Overall
	#118	Relational DBMS

Score	2.58
Rank	#105	Overall
	#20	Document stores

Score	1.56
Rank	#142	Overall
	#3	Spatial DBMS

Website

www.dbase.com

cloud.google.com/bigquery

kyligence.io/kyligence-enterprise

rethinkdb.com

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

www.dbase.com/support/knowledgebase

cloud.google.com/bigquery/docs

rethinkdb.com/docs

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

Asthon Tate

Google

Kyligence, Inc.

The Linux Foundation

since July 2017

Alessandro Furieri

Initial release

1979

2010

2016

2009

2008

Current release

dBASE 2019, 2019

2.4.1, August 2020

5.0.0, August 2020

License

Commercial or Open Source

commercial

Open Source

Apache Version 2

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

Server operating systems

DOS

dBase Classic
Windows

dBase Pro

hosted

Linux

Linux
OS X
Windows

server-less

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

string, binary, float, bool, date, geometry

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.

Secondary indexes

yes

SQL

Support of SQL

yes

ANSI SQL for queries (using Apache Calcite)

yes

APIs and other access methods

none

The IDE can access other DBMS or ODBC-sources.

RESTful HTTP/JSON API

JDBC
ODBC
RESTful HTTP API

Supported programming languages

dBase proprietary IDE

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

community-supported driver
C#

community-supported driver
C++

community-supported driver
Clojure

community-supported driver
Dart

community-supported driver
Erlang

community-supported driver
Go

community-supported driver
Haskell

community-supported driver
Java

official driver
JavaScript (Node.js)

official driver
Lisp

community-supported driver
Lua

community-supported driver
Objective-C

community-supported driver
Perl

community-supported driver
PHP

community-supported driver
Python

official driver
Ruby

official driver
Scala

community-supported driver

Server-side scripts

Stored procedures

The IDE can access stored procedures in other database systems.

user defined functions

in JavaScript

Triggers

Client-side triggers through changefeeds

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

range based

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

not for dBase internal data, but IDE does support transactions when accessing external DBMS

Since BigQuery is designed for querying data

Atomic single-document operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

MVCC based

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access rights for users and roles

Access privileges (owner, writer, reader) on dataset, table or view level

Google Cloud Identity & Access Management (IAM)

yes

users and table-level permissions

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