DBMS > JSqlDb vs. KairosDB vs. ReductStore vs. RocksDB vs. Tkrzw

System Properties Comparison JSqlDb vs. KairosDB vs. ReductStore vs. RocksDB vs. Tkrzw

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

Distributed Time Series DBMS based on Cassandra or H2

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

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

Time Series DBMS

Key-value store

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

Score	0.67
Rank	#233	Overall
	#20	Time Series DBMS

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Score	3.41
Rank	#86	Overall
	#11	Key-value stores

Score	0.07
Rank	#372	Overall
	#57	Key-value stores

Website

jsqldb.org (offline)

github.com/kairosdb/kairosdb

github.com/reductstore
www.reduct.store

rocksdb.org

dbmx.net/tkrzw

Technical documentation

kairosdb.github.io

www.reduct.store/docs

github.com/facebook/rocksdb/wiki

Developer

Konrad von Backstrom

ReductStore LLC

Facebook, Inc.

Mikio Hirabayashi

Initial release

2018

2013

2023

2013

2020

Current release

0.8, December 2018

1.2.2, November 2018

1.9, March 2024

9.2.1, May 2024

0.9.3, August 2020

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Business Source License 1.1

Open Source

BSD

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

Java

C++, Rust

C++

Server operating systems

Linux
macOS
Windows

Linux
OS X
Windows

Docker
Linux
macOS
Windows

Linux

Linux
macOS

Data scheme

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.

Secondary indexes

SQL

Support of SQL

APIs and other access methods

Graphite protocol
HTTP REST
Telnet API

HTTP API

C++ API
Java API

Supported programming languages

JavaScript

Java
JavaScript

Node.js
PHP
Python

C++
JavaScript (Node.js)
Python
Rust

C
C++
Go
Java
Perl
Python
Ruby

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

functions in JavaScript

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on Cassandra

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

based on Cassandra

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

yes

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

simple password-based access control

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