DBMS > Altibase vs. FileMaker vs. Google Cloud Spanner vs. Lovefield vs. MonetDB

System Properties Comparison Altibase vs. FileMaker vs. Google Cloud Spanner vs. Lovefield vs. MonetDB

Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

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

A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.

Embeddable relational database for web apps written in pure JavaScript

A relational database management system that stores data in columns

Primary database model

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	0.87
Rank	#200	Overall
	#93	Relational DBMS

Score	45.20
Rank	#20	Overall
	#14	Relational DBMS

Score	2.69
Rank	#101	Overall
	#51	Relational DBMS

Score	0.22
Rank	#306	Overall
	#138	Relational DBMS

Score	1.72
Rank	#135	Overall
	#62	Relational DBMS

Website

altibase.com

www.claris.com/filemaker

cloud.google.com/spanner

google.github.io/lovefield

www.monetdb.org

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

www.claris.com/resources/documentation

cloud.google.com/spanner/docs

github.com/google/lovefield/blob/master/docs/spec_index.md

www.monetdb.org/Documentation

Developer

Altibase

Claris

a subsidiary of Apple

Google

MonetDB BV

Initial release

1999

1983

2017

2014

2004

Current release

v7.3, 2023, August 2023

19.4.1, November 2021

2.1.12, February 2017

Dec2023 (11.49), December 2023

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

commercial

Open Source

Apache 2.0

Open Source

Mozilla Public License 2.0

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

C++

JavaScript

Server operating systems

AIX
HP-UX
Linux

iOS

client part only
Linux
OS X
Windows

hosted

server-less, requires a JavaScript environment (browser, Node.js)

tested with Chrome, Firefox, IE, Safari

FreeBSD
Linux
OS X
Solaris
Windows

Data scheme

yes

Typing

predefined data types such as float or date

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

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

yes

via plugins

yes

Query statements complying to ANSI 2011

SQL-like query language

via JavaScript builder pattern

yes

SQL 2003 with some extensions

APIs and other access methods

JDBC
ODBC
Proprietary protocol

Filemaker WebDirect
JDBC
ODBC

gRPC (using protocol buffers) API
JDBC

At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API

JDBC
native C library

MAPI library (MonetDB application programming interface)
ODBC

Supported programming languages

C
C++
Java

PHP

Go
Java
JavaScript (Node.js)
Python

JavaScript

C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

yes, in SQL, C, R

Triggers

yes

Using read-only observers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

none

Sharding via remote tables

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication, warm standby

since Version 14

Multi-source replication with 3 replicas for regional instances.

none

Source-replica replication available in experimental status

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

by using interleaved tables, this features focuses more on performance improvements than on referential integrity

yes

Transaction concepts

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

ACID

Strict serializable isolation

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

In-memory capabilities

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

yes

using MemoryDB

User concepts

Access control

fine grained access rights according to SQL-standard

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

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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