DBMS > BoltDB vs. LokiJS vs. OpenQM vs. SAP Advantage Database Server vs. TerminusDB

System Properties Comparison BoltDB vs. LokiJS vs. OpenQM vs. SAP Advantage Database Server vs. TerminusDB

Editorial information provided by DB-Engines

Name

SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

An embedded key-value store for Go.

In-memory JavaScript DBMS

QpenQM is a high-performance, self-tuning, multi-value DBMS

Low-cost RDBMS with access to ISAM and FoxPro data structures

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

Primary database model

Secondary database models

Document store
RDF store

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

Score	0.74
Rank	#220	Overall
	#31	Key-value stores

Score	0.43
Rank	#264	Overall
	#42	Document stores

Score	0.27
Rank	#298	Overall
	#10	Multivalue DBMS

Score	0.17
Rank	#325	Overall
	#29	Graph DBMS

Website

github.com/boltdb/bolt

github.com/techfort/LokiJS

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-open-qm

www.sap.com/products/advantage-database-server.html

terminusdb.com

Technical documentation

techfort.github.io/LokiJS

terminusdb.github.io/terminusdb/#

Developer

Rocket Software, originally Martin Phillips

Sybase, SAP

DataChemist Ltd.

Initial release

2013

2014

1993

2018

Current release

3.4-12

11.0.0, January 2023

License

Commercial or Open Source

Open Source

MIT License

Open Source

GPLv2, extended commercial license available

commercial

Open Source

GPL V3

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

JavaScript

Prolog, Rust

Server operating systems

BSD
Linux
OS X
Solaris
Windows

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

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Linux
Windows

Linux

Data scheme

schema-free

yes

with some exceptions

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

Secondary indexes

yes

via views

yes

SQL

Support of SQL

yes

SQL-like query language (WOQL)

APIs and other access methods

JavaScript API

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

JavaScript

.Net
Basic
C
Java
Objective C
PHP
Python

Delphi
Perl
PHP

JavaScript
Python

Server-side scripts

Stored procedures

View functions in JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

none

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

atomic operations within a single collection possible

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.

yes

in-memory journaling

In-memory capabilities

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

yes

caching of (temporary) tables can be configured

User concepts

Access control

Access rights can be defined down to the item level

fine grained access rights according to SQL-standard

Role-based access control

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More resources

DB-Engines blog posts

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1 December 2014, Matthias Gelbmann

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