DBMS > JSqlDb vs. SQream DB vs. Tkrzw

System Properties Comparison JSqlDb vs. SQream DB vs. Tkrzw

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Editorial information provided by DB-Engines

Name

JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

JavaScript Query Language Database, stores JavaScript objects and primitives

a GPU-based, columnar RDBMS for big data analytics workloads

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

Primary database model

Document store
Object oriented DBMS

Relational DBMS

Key-value store

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

Score	0.70
Rank	#227	Overall
	#104	Relational DBMS

Score	0.00
Rank	#383	Overall
	#60	Key-value stores

Website

jsqldb.org (offline)

sqream.com

dbmx.net/tkrzw

Technical documentation

docs.sqream.com

Developer

Konrad von Backstrom

SQream Technologies

Mikio Hirabayashi

Initial release

2018

2017

2020

Current release

0.8, December 2018

2022.1.6, December 2022

0.9.3, August 2020

License

Commercial or Open Source

Open Source

commercial

Open Source

Apache Version 2.0

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

C++, CUDA, Haskell, Java, Scala

C++

Server operating systems

Linux
macOS
Windows

Linux

Linux
macOS

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes, ANSI Standard SQL Types

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

SQL

Support of SQL

yes

APIs and other access methods

.Net
JDBC
ODBC

Supported programming languages

JavaScript

C++
Java
JavaScript (Node.js)
Python

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

functions in JavaScript

user defined functions in Python

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

horizontal and vertical partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

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 RocksDB

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

using specific database classes

User concepts

Access control

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More resources

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