DBMS > BigObject vs. Datomic vs. SQL.JS vs. Transwarp ArgoDB

System Properties Comparison BigObject vs. Datomic vs. SQL.JS vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

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

Port of SQLite to JavaScript

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Relational DBMS

Secondary database models

Search engine

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

Score	0.19
Rank	#329	Overall
	#146	Relational DBMS

Score	1.66
Rank	#144	Overall
	#66	Relational DBMS

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Score	0.12
Rank	#348	Overall
	#151	Relational DBMS

Website

bigobject.io

www.datomic.com

sql.js.org

www.transwarp.cn/en/product/argodb

Technical documentation

docs.bigobject.io

docs.datomic.com

sql.js.org/documentation/index.html

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

Developer

BigObject, Inc.

Cognitect

Alon Zakai

enhancements implemented by others

Transwarp

Initial release

2015

2012

Current release

1.0.7075, December 2023

License

Commercial or Open Source

commercial

free community edition available

commercial

limited edition free

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

JavaScript

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

All OS with a Java VM

server-less, requires a JavaScript environment (browser, Node.js)

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

SQL-like DML and DDL statements

yes

SQL-92 is not fully supported

yes

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

RESTful HTTP API

JavaScript API

Supported programming languages

Clojure
Java

JavaScript

Server-side scripts

Stored procedures

Lua

yes

Transaction Functions

Triggers

By using transaction functions

Partitioning methods

Methods for storing different data on different nodes

none

But extensive use of caching in the application peers

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

none

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

yes

Durability

Support for making data persistent

yes

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

except by serializing a db to a file

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

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More resources

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