DBMS > atoti vs. Datomic

System Properties Comparison atoti vs. Datomic

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Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

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

Primary database model

Object oriented DBMS

Relational DBMS

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Trend Chart

Score	0.98
Rank	#232	Overall
	#11	Object oriented DBMS

Score	2.44
Rank	#137	Overall
	#66	Relational DBMS

Website

www.atoti.io

www.datomic.com

Technical documentation

docs.datomic.com

Developer

ActiveViam

Cognitect

Initial release

2012

Current release

1.0.6362, January 2022

License

Commercial or Open Source

commercial

free versions available

commercial

limited edition free

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Java, Clojure

Server operating systems

All OS with a Java VM

Data scheme

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

Multidimensional Expressions (MDX)

APIs and other access methods

RESTful HTTP API

Supported programming languages

Clojure
Java

Server-side scripts

Stored procedures

Python

yes

Transaction Functions

Triggers

By using transaction functions

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

none

But extensive use of caching in the application peers

Replication methods

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

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

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

User concepts

Access control

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More resources

Recent citations in the news

Investing in operational readiness to optimise FRTB capital
29 March 2023, Risk.net

provided by Google News

The Architecture of Datomic
2 November 2012, InfoQ.com

Nubank buys firm behind Clojure programming language
28 July 2020, Finextra

Lucas Cavalcanti on Using Clojure, Microservices, Hexagonal ...
16 August 2021, InfoQ.com

Homoiconicity: It Is What It Is
31 October 2017, InfoQ.com

Clojure inventor Hickey now aims for Android
22 March 2012, InfoWorld

provided by Google News

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