DBMS > Drizzle vs. FileMaker vs. Google BigQuery vs. TerminusDB vs. WakandaDB

System Properties Comparison Drizzle vs. FileMaker vs. Google BigQuery vs. TerminusDB vs. WakandaDB

Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

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

Large scale data warehouse service with append-only tables

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Relational DBMS

Graph DBMS

Object oriented DBMS

Secondary database models

Document store
RDF store

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

Score	47.91
Rank	#20	Overall
	#14	Relational DBMS

Score	58.10
Rank	#19	Overall
	#13	Relational DBMS

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Score	0.10
Rank	#356	Overall
	#17	Object oriented DBMS

Website

www.claris.com/filemaker

cloud.google.com/bigquery

terminusdb.com

wakanda.github.io

Technical documentation

www.claris.com/resources/documentation

cloud.google.com/bigquery/docs

terminusdb.github.io/terminusdb/#

wakanda.github.io/doc

Developer

Drizzle project, originally started by Brian Aker

Claris

a subsidiary of Apple

Google

DataChemist Ltd.

Wakanda SAS

Initial release

2008

1983

2010

2018

2012

Current release

7.2.4, September 2012

19.4.1, November 2021

11.0.0, January 2023

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

GNU GPL

commercial

Open Source

GPL V3

Open Source

AGPLv3, extended commercial license available

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++

Prolog, Rust

C++, JavaScript

Server operating systems

FreeBSD
Linux
OS X

iOS

client part only
Linux
OS X
Windows

hosted

Linux

Linux
OS X
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

yes

with proprietary extensions

yes

via plugins

yes

SQL-like query language (WOQL)

APIs and other access methods

JDBC

Filemaker WebDirect
JDBC
ODBC

RESTful HTTP/JSON API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

RESTful HTTP API

Supported programming languages

C
C++
Java
PHP

PHP

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

JavaScript
Python

JavaScript

Server-side scripts

Stored procedures

yes

user defined functions

in JavaScript

yes

Triggers

hooks for callbacks inside the server can be used.

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Graph Partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Source-replica replication, warm standby

since Version 14

Journaling Streams

none

MapReduce

Offers an API for user-defined Map/Reduce methods

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

ACID

Since BigQuery is designed for querying data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory journaling

yes

In-memory capabilities

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

User concepts

Access control

Pluggable authentication mechanisms

e.g. LDAP, HTTP

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

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

Google Cloud Identity & Access Management (IAM)

Role-based access control

yes

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