DBMS > FileMaker vs. Graphite vs. MySQL vs. Percona Server for MongoDB vs. Warp 10

System Properties Comparison FileMaker vs. Graphite vs. MySQL vs. Percona Server for MongoDB vs. Warp 10

Editorial information provided by DB-Engines

Name

Description

FileMaker is a cross-platform RDBMS that includes a GUI frontend.

Data logging and graphing tool for time series data

The storage layer (fixed size database) is called Whisper

Widely used open source RDBMS

A drop-in replacement for MongoDB Community Edition with enterprise-grade features.

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

Primary database model

Relational DBMS

Time Series DBMS

Relational DBMS

Key/Value like access via memcached API

Document store

Time Series DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	48.20
Rank	#20	Overall
	#14	Relational DBMS

Score	4.57
Rank	#73	Overall
	#5	Time Series DBMS

Score	1083.74
Rank	#2	Overall
	#2	Relational DBMS

Score	0.52
Rank	#254	Overall
	#39	Document stores

Score	0.07
Rank	#349	Overall
	#32	Time Series DBMS

Website

www.claris.com/filemaker

github.com/graphite-project/graphite-web

www.mysql.com

www.percona.com/mongodb/software/percona-server-for-mongodb

www.warp10.io

Technical documentation

www.claris.com/resources/documentation

graphite.readthedocs.io

dev.mysql.com/doc

docs.percona.com/percona-distribution-for-mongodb

www.warp10.io/content/02_Getting_started

Developer

Claris

a subsidiary of Apple

Chris Davis

Oracle

since 2010, originally MySQL AB, then Sun

Percona

SenX

Initial release

1983

2006

1995

2015

Current release

19.4.1, November 2021

8.3.0, January 2024

3.4.10-2.10, November 2017

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

Open Source

GPL Version 2

Open Source

Apache License 2.0

Cloud-based only

Only available as a cloud service

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Implementation language

Python

C and C++

C++

Java

Server operating systems

iOS

client part only
Linux
OS X
Windows

Linux
Unix

FreeBSD
Linux
OS X
Solaris
Windows

Linux

Linux
OS X
Windows

Data scheme

yes

schema-free

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

A http query request can return the data in XML format

yes

Secondary indexes

yes

SQL

Support of SQL

yes

via plugins

yes

with proprietary extensions

APIs and other access methods

Filemaker WebDirect
JDBC
ODBC

HTTP API
Sockets

ADO.NET
JDBC
ODBC
Proprietary native API

proprietary protocol using JSON

HTTP API
Jupyter
WebSocket

Supported programming languages

PHP

JavaScript (Node.js)
Python

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

Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk

Server-side scripts

Stored procedures

yes

proprietary syntax

JavaScript

yes

WarpScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication, warm standby

since Version 14

none

Multi-source replication
Source-replica replication

Source-replica replication

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

based on HBase

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 MyISAM storage engine

Concurrency

Support for concurrent manipulation of data

yes

locking

yes

table locks or row locks depending on storage engine

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

via In-Memory Engine

yes

User concepts

Access control

simple rights management via user accounts and connection to external directory services

Users with fine-grained authorization concept

no user groups or roles

Access rights for users and roles

Mandatory use of cryptographic tokens, containing fine-grained authorizations

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