DBMS > AlaSQL vs. Kdb vs. YTsaurus

System Properties Comparison AlaSQL vs. Kdb vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

High performance Time Series DBMS

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Document store
Relational DBMS

Time Series DBMS
Vector DBMS

Document store
Key-value store

Secondary database models

Relational DBMS

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

Score	0.37
Rank	#267	Overall
	#42	Document stores
	#123	Relational DBMS

Score	6.95
Rank	#51	Overall
	#2	Time Series DBMS
	#3	Vector DBMS

Score	0.17
Rank	#314	Overall
	#46	Document stores
	#44	Key-value stores

Website

alasql.org

kx.com

ytsaurus.tech

Technical documentation

github.com/AlaSQL/alasql

code.kx.com

ytsaurus.tech/docs/en

Developer

Andrey Gershun & Mathias R. Wulff

Kx Systems, a division of First Derivatives plc

Yandex

Initial release

2014

2000

kdb was released 2000, kdb+ in 2003

2023

Current release

3.6, May 2018

License

Commercial or Open Source

Open Source

MIT-License

commercial

free 32-bit version

Open Source

Apache License, 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

JavaScript

C++

Server operating systems

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

Linux
OS X
Solaris
Windows

Ubuntu

Data scheme

schema-free

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.

yes

Secondary indexes

yes

table attribute 'grouped'

SQL

Support of SQL

Close to SQL99, but no user access control, stored procedures and host language bindings.

SQL-like query language (q)

YQL, an SQL-based language, is supported

APIs and other access methods

JavaScript API

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

Supported programming languages

JavaScript

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

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

with views

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

similar paradigm used for internal processing

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

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

Access Control Lists

More information provided by the system vendor

Specific characteristics

Integrated columnar database & programming system for streaming, real time and historical...
» more

Competitive advantages

provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more

Typical application scenarios

tick database streaming sensor data massive intelligence applications oil and gas...
» more

Key customers

Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more

Market metrics

kdb+ performance and reliability proven by our customers in critical infrastructure...
» more

Licensing and pricing models

upon request
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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