DBMS > Microsoft Access vs. RocksDB vs. TerminusDB vs. TigerGraph

System Properties Comparison Microsoft Access vs. RocksDB vs. TerminusDB vs. TigerGraph

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Editorial information provided by DB-Engines

Name

Description

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.)

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

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

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

Primary database model

Relational DBMS

Key-value store

Graph DBMS

Secondary database models

Document store
RDF store

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

Score	101.16
Rank	#11	Overall
	#8	Relational DBMS

Score	3.41
Rank	#86	Overall
	#11	Key-value stores

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Score	1.80
Rank	#138	Overall
	#13	Graph DBMS

Website

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

rocksdb.org

terminusdb.com

www.tigergraph.com

Technical documentation

developer.microsoft.com/en-us/access

github.com/facebook/rocksdb/wiki

terminusdb.github.io/terminusdb/#

docs.tigergraph.com

Developer

Microsoft

Facebook, Inc.

DataChemist Ltd.

Initial release

1992

2013

2018

2017

Current release

1902 (16.0.11328.20222), March 2019

9.2.1, May 2024

11.0.0, January 2023

License

Commercial or Open Source

commercial

Bundled with Microsoft Office

Open Source

BSD

Open Source

GPL V3

commercial

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.

Implementation language

C++

Prolog, Rust

C++

Server operating systems

Windows

Not a real database server, but making use of DLLs

Linux

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

yes

but not compliant to any SQL standard

SQL-like query language (WOQL)

SQL-like query language (GSQL)

APIs and other access methods

ADO.NET
DAO
ODBC
OLE DB

C++ API
Java API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

Supported programming languages

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

C
C++
Go
Java
Perl
Python
Ruby

JavaScript
Python

C++
Java

Server-side scripts

Stored procedures

yes

since Access 2010 using the ACE-engine

yes

Triggers

yes

since Access 2010 using the ACE-engine

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

but no files for transaction logging

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

but no files for transaction logging

yes

in-memory journaling

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

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

Role-based access control

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