DBMS > BigchainDB vs. Cassandra vs. FileMaker vs. Microsoft Access vs. Quasardb

System Properties Comparison BigchainDB vs. Cassandra vs. FileMaker vs. Microsoft Access vs. Quasardb

Editorial information provided by DB-Engines

Name

Description

BigchainDB is scalable blockchain database offering decentralization, immutability and native assets

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

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

Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries.

The Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)

Distributed, high-performance timeseries database

Primary database model

Secondary database models

Vector DBMS

starting with release V5

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

Score	0.85
Rank	#208	Overall
	#35	Document stores

Score	98.83
Rank	#12	Overall
	#1	Wide column stores

Score	47.91
Rank	#20	Overall
	#14	Relational DBMS

Score	101.16
Rank	#11	Overall
	#8	Relational DBMS

Score	0.21
Rank	#322	Overall
	#29	Time Series DBMS

Website

www.bigchaindb.com

cassandra.apache.org

www.claris.com/filemaker

www.microsoft.com/en-us/microsoft-365/access

quasar.ai

Technical documentation

bigchaindb.readthedocs.io/en/latest

cassandra.apache.org/doc/latest

www.claris.com/resources/documentation

developer.microsoft.com/en-us/access

doc.quasar.ai/master

Developer

Apache Software Foundation

Apache top level project, originally developped by Facebook

Claris

a subsidiary of Apple

Microsoft

quasardb

Initial release

2016

2008

1983

1992

2009

Current release

4.1.3, July 2023

19.4.1, November 2021

1902 (16.0.11328.20222), March 2019

3.14.1, January 2024

License

Commercial or Open Source

Open Source

AGPL v3

Open Source

Apache version 2

commercial

Bundled with Microsoft Office

commercial

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

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.

Astra DB: Multi-cloud DBaaS built on Apache Cassandra.

Implementation language

Python

Java

C++

Server operating systems

Linux

BSD
Linux
OS X
Windows

iOS

client part only
Linux
OS X
Windows

Windows

Not a real database server, but making use of DLLs

BSD
Linux
OS X
Windows

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

integer and binary

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

restricted

only equality queries, not always the best performing solution

yes

with tags

SQL

Support of SQL

SQL-like SELECT, DML and DDL statements (CQL)

yes

via plugins

yes

but not compliant to any SQL standard

SQL-like query language

APIs and other access methods

CLI Client
RESTful HTTP API

Proprietary protocol

CQL (Cassandra Query Language, an SQL-like language)
Thrift

Filemaker WebDirect
JDBC
ODBC

ADO.NET
DAO
ODBC
OLE DB

HTTP API

Supported programming languages

Go
Haskell
Java
JavaScript
Python
Ruby

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

PHP

C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET

.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

Server-side scripts

Stored procedures

yes

since Access 2010 using the ACE-engine

Triggers

yes

since Access 2010 using the ACE-engine

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

none

Sharding

consistent hashing

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Representation of geographical distribution of servers is possible

Source-replica replication, warm standby

since Version 14

none

Source-replica replication with selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

with Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomicity and isolation are supported for single operations

ACID

but no files for transaction logging

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes,with MongoDB ord RethinkDB

yes

but no files for transaction logging

yes

by using LevelDB

In-memory capabilities

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

yes

Transient mode

User concepts

Access control

yes

Access rights for users can be defined per object

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

a simple user-level security was built in till version Access 2003

Cryptographically strong user authentication and audit trail

More information provided by the system vendor

Specific characteristics

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Key customers

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Market metrics

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Licensing and pricing models

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