DBMS > Datomic vs. FileMaker vs. OrigoDB vs. Transwarp StellarDB

System Properties Comparison Datomic vs. FileMaker vs. OrigoDB vs. Transwarp StellarDB

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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

FileMaker is a cross-platform RDBMS that includes a GUI frontend.

A fully ACID in-memory object graph database

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Relational DBMS

Document store
Object oriented DBMS

Graph DBMS

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

Score	1.55
Rank	#144	Overall
	#67	Relational DBMS

Score	45.20
Rank	#20	Overall
	#14	Relational DBMS

Score	0.00
Rank	#385	Overall
	#54	Document stores
	#21	Object oriented DBMS

Score	0.00
Rank	#385	Overall
	#40	Graph DBMS

Website

www.datomic.com

www.claris.com/filemaker

origodb.com

www.transwarp.cn/en/product/stellardb

Technical documentation

docs.datomic.com

www.claris.com/resources/documentation

origodb.com/docs

Developer

Cognitect

Claris

a subsidiary of Apple

Robert Friberg et al

Transwarp

Initial release

2012

1983

2009

under the name LiveDB

Current release

1.0.7180, July 2024

19.4.1, November 2021

License

Commercial or Open Source

commercial

limited edition free

commercial

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

Server operating systems

All OS with a Java VM

iOS

client part only
Linux
OS X
Windows

Linux
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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

A http query request can return the data in XML format

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

yes

via plugins

SQL-like query language

APIs and other access methods

RESTful HTTP API

Filemaker WebDirect
JDBC
ODBC

.NET Client API
HTTP API
LINQ

OpenCypher

Supported programming languages

Clojure
Java

PHP

.Net

Server-side scripts

Stored procedures

yes

Transaction Functions

yes

Triggers

By using transaction functions

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

none

But extensive use of caching in the application peers

none

horizontal partitioning

client side managed; servers are not synchronized

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

Source-replica replication, warm standby

since Version 14

Source-replica replication

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

simple rights management via user accounts and connection to external directory services

Role based authorization

yes

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