DBMS > Kdb vs. SwayDB

System Properties Comparison Kdb vs. SwayDB

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Editorial information provided by DB-Engines

Name

Description

High performance Time Series DBMS

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Primary database model

Time Series DBMS
Vector DBMS

Key-value store

Secondary database models

Relational DBMS

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Trend Chart

Score	6.49
Rank	#53	Overall
	#2	Time Series DBMS
	#4	Vector DBMS

Score	0.00
Rank	#381	Overall
	#61	Key-value stores

Website

kx.com

swaydb.simer.au

Technical documentation

code.kx.com

Developer

Kx Systems, a division of First Derivatives plc

Simer Plaha

Initial release

2000

kdb was released 2000, kdb+ in 2003

2018

Current release

3.6, May 2018

License

Commercial or Open Source

commercial

free 32-bit version

Open Source

GNU Affero GPL V3.0

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Scala

Server operating systems

Linux
OS X
Solaris
Windows

Data scheme

yes

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.

yes

Secondary indexes

yes

table attribute 'grouped'

SQL

Support of SQL

SQL-like query language (q)

APIs and other access methods

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

Supported programming languages

C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala

Java
Kotlin
Scala

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

with views

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

similar paradigm used for internal processing

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

User concepts

Access control

rights management via user accounts

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More resources

Recent citations in the news

KX Supercharges Python Workloads with kdb+ Speed and AI/ML Library Integration
12 November 2024, Business Wire

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18 May 2023, Amazon Web Services (AWS)

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7 June 2023, PR Newswire

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28 February 2024, Business Wire

provided by Google News

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