DBMS > AgensGraph vs. dBASE vs. MariaDB vs. RRDtool vs. Splunk

System Properties Comparison AgensGraph vs. dBASE vs. MariaDB vs. RRDtool vs. Splunk

Editorial information provided by DB-Engines

Name

Description

Multi-model database supporting relational and graph data models and built upon PostgreSQL

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.

MySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.

Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database.

The data is stored in a circular buffer, thus the system storage footprint remains constant over time.

Analytics Platform for Big Data

Primary database model

Graph DBMS
Relational DBMS

Relational DBMS

Time Series DBMS

Search engine

Secondary database models

Document store
Graph DBMS

with OQGraph storage engine
Spatial DBMS

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

Score	0.23
Rank	#315	Overall
	#26	Graph DBMS
	#140	Relational DBMS

Score	9.70
Rank	#44	Overall
	#28	Relational DBMS

Score	91.04
Rank	#13	Overall
	#9	Relational DBMS

Score	1.90
Rank	#132	Overall
	#11	Time Series DBMS

Score	89.10
Rank	#14	Overall
	#2	Search engines

Website

bitnine.net/agensgraph

www.dbase.com

mariadb.com

Site of MariaDB Corporation
mariadb.org

Site of MariaDB Foundation

oss.oetiker.ch/rrdtool

www.splunk.com

Technical documentation

bitnine.net/documentation

www.dbase.com/support/knowledgebase

mariadb.com/kb/en/library

oss.oetiker.ch/rrdtool/doc

docs.splunk.com/Documentation/Splunk

Developer

Bitnine Global Inc.

Asthon Tate

MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server)

The lead developer Monty Widenius is the original author of MySQL

Tobias Oetiker

Splunk Inc.

Initial release

2016

1979

2009

Fork of MySQL, which was first released in 1995

1999

2003

Current release

2.1, December 2018

dBASE 2019, 2019

11.3.2, February 2024

1.8.0, 2022

License

Commercial or Open Source

Open Source

Apache License 2.0

commercial

Open Source

GPL version 2, commercial enterprise subscription available

Open Source

GPL V2 and FLOSS

commercial

Limited free edition and free developer edition available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant.

Implementation language

C and C++

Implementations in Java (e.g. RRD4J) and C# available

Server operating systems

Linux
OS X
Windows

DOS

dBase Classic
Windows

dBase Pro

FreeBSD
Linux
Solaris
Windows

ColumnStore storage engine not available on Windows

HP-UX
Linux

Linux
OS X
Solaris
Windows

Data scheme

depending on used data model

yes

Dynamic columns are supported

yes

Typing

predefined data types such as float or date

yes

Numeric data only

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.

yes

Exporting into and restoring from XML files possible

yes

Secondary indexes

yes

SQL

Support of SQL

yes

with proprietary extensions

Splunk Search Processing Language for search commands

APIs and other access methods

Cypher Query Language
JDBC

none

The IDE can access other DBMS or ODBC-sources.

ADO.NET
JDBC
ODBC
Proprietary native API

in-process shared library
Pipes

HTTP REST

Supported programming languages

C
Java
JavaScript
Python

dBase proprietary IDE

Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

with librrd library
C#

with a different implementation of RRDTool
Java

with a different implementation of RRDTool
JavaScript (Node.js)

with a different implementation of RRDTool
Lua
Perl
PHP

with a wrapper library
Python
Ruby

C#
Java
JavaScript
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

The IDE can access stored procedures in other database systems.

yes

PL/SQL compatibility added with version 10.3

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

no, but can be realized using table inheritance

none

several options for horizontal partitioning and Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

Multi-source replication
Source-replica replication

none

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Eventual Consistency

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts

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

ACID

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

ACID

not for MyISAM storage engine

A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching

Concurrency

Support for concurrent manipulation of data

yes

by using the rrdcached daemon

yes

Durability

Support for making data persistent

yes

not for in-memory storage engine

yes

In-memory capabilities

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

yes

with MEMORY storage engine

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users and roles

fine grained access rights according to SQL-standard

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

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Competitive advantages

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Typical application scenarios

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Key customers

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Market metrics

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Licensing and pricing models

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