DBMS > Datomic vs. EsgynDB vs. Firebase Realtime Database vs. H2GIS vs. searchxml

System Properties Comparison Datomic vs. EsgynDB vs. Firebase Realtime Database vs. H2GIS vs. searchxml

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

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

Spatial extension of H2

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Relational DBMS

Document store

Spatial DBMS

Native XML DBMS
Search engine

Secondary database models

Relational DBMS

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

Score	1.59
Rank	#150	Overall
	#69	Relational DBMS

Score	0.16
Rank	#329	Overall
	#146	Relational DBMS

Score	14.29
Rank	#39	Overall
	#6	Document stores

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	0.00
Rank	#383	Overall
	#7	Native XML DBMS
	#25	Search engines

Website

www.datomic.com

www.esgyn.cn

firebase.google.com/products/realtime-database

www.h2gis.org

www.searchxml.net/category/products

Technical documentation

docs.datomic.com

firebase.google.com/docs/database

www.h2gis.org/docs/home

www.searchxml.net/support/handouts

Developer

Cognitect

Esgyn

Google

acquired by Google 2014

CNRS

informationpartners gmbh

Initial release

2012

2015

2012

2013

2015

Current release

1.0.6735, June 2023

1.0

License

Commercial or Open Source

commercial

limited edition free

commercial

Open Source

LGPL 3.0

commercial

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++, Java

Java

C++

Server operating systems

All OS with a Java VM

Linux

hosted

Windows

Data scheme

yes

schema-free

yes

schema-free

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

SQL

Support of SQL

yes

APIs and other access methods

RESTful HTTP API

ADO.NET
JDBC
ODBC

Android
iOS
JavaScript API
RESTful HTTP API

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

Clojure
Java

All languages supporting JDBC/ODBC/ADO.Net

Java
JavaScript
Objective-C

Java

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

yes

Transaction Functions

Java Stored Procedures

limited functionality with using 'rules'

yes

based on H2

yes

on the application server

Triggers

By using transaction functions

Callbacks are triggered when data changes

yes

Partitioning methods

Methods for storing different data on different nodes

none

But extensive use of caching in the application peers

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

Multi-source replication between multi datacenters

yes

based on H2

yes

sychronisation to multiple collections

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

ACID

multiple readers, single writer

Concurrency

Support for concurrent manipulation of data

yes

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)

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

yes, based on authentication and database rules

yes

based on H2

Domain, group and role-based access control at the document level and for application services

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More resources

DB-Engines blog posts

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