DBMS > Datomic vs. Graph Engine vs. Oracle Coherence vs. SpatiaLite

System Properties Comparison Datomic vs. Graph Engine vs. Oracle Coherence vs. SpatiaLite

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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

Oracles in-memory data grid solution

Spatial extension of SQLite

Primary database model

Relational DBMS

Graph DBMS
Key-value store

Key-value store

Spatial DBMS

Secondary database models

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	1.97
Rank	#129	Overall
	#22	Key-value stores

Score	1.63
Rank	#146	Overall
	#3	Spatial DBMS

Website

www.datomic.com

www.graphengine.io

www.oracle.com/java/coherence

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

docs.datomic.com

www.graphengine.io/docs/manual

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

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

Cognitect

Microsoft

Oracle

Alessandro Furieri

Initial release

2012

2010

2007

2008

Current release

1.0.7075, December 2023

14.1, August 2023

5.0.0, August 2020

License

Commercial or Open Source

commercial

limited edition free

Open Source

MIT License

commercial

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

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

Java

C++

Server operating systems

All OS with a Java VM

.NET

All OS with a Java VM

server-less

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

APIs and other access methods

RESTful HTTP API

JCache
JPA
RESTful HTTP API

Supported programming languages

Clojure
Java

C#
C++
F#
Visual Basic

.Net
C++
Java

Server-side scripts

Stored procedures

yes

Transaction Functions

yes

Triggers

By using transaction functions

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

none

But extensive use of caching in the application peers

horizontal partitioning

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

yes, with selectable consistency level

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

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

optionally

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

authentification to access the cache via certificates or http basic authentication

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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