DBMS > AlaSQL vs. Postgres-XL vs. Splunk vs. YTsaurus

System Properties Comparison AlaSQL vs. Postgres-XL vs. Splunk vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

Analytics Platform for Big Data

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

Primary database model

Document store
Relational DBMS

Relational DBMS

Search engine

Document store
Key-value store

Secondary database models

Document store
Spatial DBMS

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

Score	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	0.53
Rank	#254	Overall
	#117	Relational DBMS

Score	89.10
Rank	#14	Overall
	#2	Search engines

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

Technical documentation

github.com/AlaSQL/alasql

www.postgres-xl.org/documentation

docs.splunk.com/Documentation/Splunk

ytsaurus.tech/docs/en

Developer

Andrey Gershun & Mathias R. Wulff

Splunk Inc.

Yandex

Initial release

2014

since 2012, originally named StormDB

2003

2023

Current release

10 R1, October 2018

License

Commercial or Open Source

Open Source

MIT-License

Open Source

Mozilla public license

commercial

Limited free edition and free developer edition available

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
macOS

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

XML type, but no XML query functionality

yes

Secondary indexes

yes

SQL

Support of SQL

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

yes

distributed, parallel query execution

Splunk Search Processing Language for search commands

YQL, an SQL-based language, is supported

APIs and other access methods

JavaScript API

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

HTTP REST

Supported programming languages

JavaScript

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

C#
Java
JavaScript
PHP
Python
Ruby

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

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

Multi-source replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Eventual 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

MVCC

A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching

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

fine grained access rights according to SQL-standard

Access rights for users and roles

Access Control Lists

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