DBMS > BigchainDB vs. FileMaker vs. Microsoft Access vs. Oracle Coherence vs. SAP HANA

System Properties Comparison BigchainDB vs. FileMaker vs. Microsoft Access vs. Oracle Coherence vs. SAP HANA

Editorial information provided by DB-Engines

Name

Description

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

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.)

Oracles in-memory data grid solution

In-memory, column based data store. Available as appliance or cloud service

Primary database model

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	0.85
Rank	#208	Overall
	#35	Document stores

Score	47.91
Rank	#20	Overall
	#14	Relational DBMS

Score	101.16
Rank	#11	Overall
	#8	Relational DBMS

Score	1.97
Rank	#129	Overall
	#22	Key-value stores

Score	44.27
Rank	#23	Overall
	#16	Relational DBMS

Website

www.bigchaindb.com

www.claris.com/filemaker

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

www.oracle.com/java/coherence

www.sap.com/products/hana.html

Technical documentation

bigchaindb.readthedocs.io/en/latest

www.claris.com/resources/documentation

developer.microsoft.com/en-us/access

docs.oracle.com/en/middleware/standalone/coherence

help.sap.com/hana

Developer

Claris

a subsidiary of Apple

Microsoft

Oracle

SAP

Initial release

2016

1983

1992

2007

2010

Current release

19.4.1, November 2021

1902 (16.0.11328.20222), March 2019

14.1, August 2023

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

Open Source

AGPL v3

commercial

Bundled with Microsoft Office

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Python

C++

Java

Server operating systems

Linux

iOS

client part only
Linux
OS X
Windows

Windows

Not a real database server, but making use of DLLs

All OS with a Java VM

Appliance or cloud-service

Data scheme

schema-free

yes

schema-free

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

via plugins

yes

but not compliant to any SQL standard

yes

APIs and other access methods

CLI Client
RESTful HTTP API

Filemaker WebDirect
JDBC
ODBC

ADO.NET
DAO
ODBC
OLE DB

JCache
JPA
RESTful HTTP API

JDBC
ODBC

Supported programming languages

Go
Haskell
Java
JavaScript
Python
Ruby

PHP

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

.Net
C++
Java

Server-side scripts

Stored procedures

yes

since Access 2010 using the ACE-engine

SQLScript, R

Triggers

yes

since Access 2010 using the ACE-engine

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Source-replica replication, warm standby

since Version 14

none

yes, with selectable consistency level

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

but no files for transaction logging

configurable

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

optionally

yes

In-memory capabilities

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

yes

User concepts

Access control

yes

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

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

authentification to access the cache via certificates or http basic authentication

yes

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