DBMS > Datomic vs. Microsoft Azure SQL Database vs. OrigoDB vs. WakandaDB

System Properties Comparison Datomic vs. Microsoft Azure SQL Database vs. OrigoDB vs. WakandaDB

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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

Database as a Service offering with high compatibility to Microsoft SQL Server

A fully ACID in-memory object graph database

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Relational DBMS

Document store
Object oriented DBMS

Object oriented DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS

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

Score	1.66
Rank	#144	Overall
	#66	Relational DBMS

Score	76.78
Rank	#16	Overall
	#11	Relational DBMS

Score	0.06
Rank	#380	Overall
	#50	Document stores
	#19	Object oriented DBMS

Score	0.10
Rank	#356	Overall
	#17	Object oriented DBMS

Website

www.datomic.com

azure.microsoft.com/en-us/products/azure-sql/database

origodb.com

wakanda.github.io

Technical documentation

docs.datomic.com

docs.microsoft.com/en-us/azure/azure-sql

origodb.com/docs

wakanda.github.io/doc

Developer

Cognitect

Microsoft

Robert Friberg et al

Wakanda SAS

Initial release

2012

2010

2009

under the name LiveDB

2012

Current release

1.0.7075, December 2023

V12

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

limited edition free

commercial

Open Source

AGPLv3, extended commercial license available

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java, Clojure

C++

C++, JavaScript

Server operating systems

All OS with a Java VM

hosted

Linux
Windows

Linux
OS X
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

RESTful HTTP API

ADO.NET
JDBC
ODBC

.NET Client API
HTTP API
LINQ

RESTful HTTP API

Supported programming languages

Clojure
Java

.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby

.Net

JavaScript

Server-side scripts

Stored procedures

yes

Transaction Functions

Transact SQL

yes

Triggers

By using transaction functions

yes

Domain Events

yes

Partitioning methods

Methods for storing different data on different nodes

none

But extensive use of caching in the application peers

horizontal partitioning

client side managed; servers are not synchronized

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

yes, with always 3 replicas available

Source-replica replication

none

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

yes

depending on model

Transaction concepts

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

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)

yes

Write ahead log

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

fine grained access rights according to SQL-standard

Role based authorization

yes

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