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DBMS > Datomic vs. Kyligence Enterprise vs. NSDb vs. SQL.JS

System Properties Comparison Datomic vs. Kyligence Enterprise vs. NSDb vs. SQL.JS

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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

A distributed analytics engine for big data, built on top of Apache Kylin

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Relational DBMS

Time Series DBMS

Relational DBMS

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

Score	1.59
Rank	#150	Overall
	#69	Relational DBMS

Score	0.40
Rank	#269	Overall
	#124	Relational DBMS

Score	0.00
Rank	#383	Overall
	#41	Time Series DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

www.datomic.com

kyligence.io/kyligence-enterprise

Technical documentation

docs.datomic.com

nsdb.io/Architecture

sql.js.org/documentation/index.html

Developer

Cognitect

Kyligence, Inc.

Alon Zakai

enhancements implemented by others

Initial release

2012

2016

2017

2012

Current release

1.0.6735, June 2023

License

Commercial or Open Source

commercial

limited edition free

commercial

Open Source

Apache Version 2.0

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java, Clojure

Java

Java, Scala

JavaScript

Server operating systems

All OS with a Java VM

Linux

Linux
macOS

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

Data scheme

yes

yes

yes

Typing

predefined data types such as float or date

yes

yes

yes: int, bigint, decimal, string

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.

no

no

no

no

Secondary indexes

yes

yes

all fields are automatically indexed

SQL

Support of SQL

no

ANSI SQL for queries (using Apache Calcite)

SQL-like query language

yes

SQL-92 is not fully supported

APIs and other access methods

RESTful HTTP API

JDBC
ODBC
RESTful HTTP API

gRPC
HTTP REST
WebSocket

JavaScript API

Supported programming languages

Clojure
Java

Java
Scala

JavaScript

Server-side scripts

Stored procedures

yes

Transaction Functions

no

no

Triggers

By using transaction functions

no

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

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

yes

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency

Eventual Consistency

none

Foreign keys

Referential integrity

no

no

yes

Transaction concepts

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

ACID

no

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

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

yes

Using Apache Lucene

no

except by serializing a db to a file

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

no

yes

User concepts

Access control

no

no

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More resources

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