DBMS > Datomic vs. Graph Engine vs. LokiJS vs. OpenEdge

System Properties Comparison Datomic vs. Graph Engine vs. LokiJS vs. OpenEdge

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Editorial information provided by DB-Engines

Name

Description

Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

In-memory JavaScript DBMS

Application development environment with integrated database management system

Primary database model

Relational DBMS

Graph DBMS
Key-value store

Document store

Relational DBMS

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

Score	1.66
Rank	#144	Overall
	#66	Relational DBMS

Score	0.67
Rank	#232	Overall
	#21	Graph DBMS
	#34	Key-value stores

Score	0.49
Rank	#260	Overall
	#42	Document stores

Score	3.45
Rank	#85	Overall
	#46	Relational DBMS

Website

www.datomic.com

www.graphengine.io

github.com/techfort/LokiJS

www.progress.com/openedge

Technical documentation

docs.datomic.com

www.graphengine.io/docs/manual

techfort.github.io/LokiJS

documentation.progress.com/output/ua/OpenEdge_latest

Developer

Cognitect

Microsoft

Progress Software Corporation

Initial release

2012

2010

2014

1984

Current release

1.0.6735, June 2023

OpenEdge 12.2, March 2020

License

Commercial or Open Source

commercial

limited edition free

Open Source

MIT License

Open Source

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

Java, Clojure

.NET and C

JavaScript

Server operating systems

All OS with a Java VM

.NET

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

AIX
HP-UX
Linux
Solaris
Windows

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.

yes

Secondary indexes

yes

via views

yes

SQL

Support of SQL

yes

close to SQL 92

APIs and other access methods

RESTful HTTP API

JavaScript API

JDBC
ODBC

Supported programming languages

Clojure
Java

C#
C++
F#
Visual Basic

JavaScript

Progress proprietary ABL (Advanced Business Language)

Server-side scripts

Stored procedures

yes

Transaction Functions

yes

View functions in JavaScript

yes

Triggers

By using transaction functions

yes

Partitioning methods

Methods for storing different data on different nodes

none

But extensive use of caching in the application peers

horizontal partitioning

none

horizontal partitioning

since Version 11.4

Replication methods

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

atomic operations within a single collection possible

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

yes

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

yes

In-memory capabilities

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

yes

recommended only for testing and development

yes

User concepts

Access control

Users and groups

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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