DBMS > AlaSQL vs. Netezza vs. PlanetScale vs. SiriDB vs. SpaceTime

System Properties Comparison AlaSQL vs. Netezza vs. PlanetScale vs. SiriDB vs. SpaceTime

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Data warehouse and analytics appliance part of IBM PureSystems

Scalable, distributed, serverless MySQL database platform built on top of Vitess

Open Source Time Series DBMS

SpaceTime is a spatio-temporal DBMS with a focus on performance.

Primary database model

Document store
Relational DBMS

Relational DBMS

Time Series DBMS

Spatial DBMS

Secondary database models

Document store
Spatial DBMS

Relational DBMS

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

Score	0.46
Rank	#260	Overall
	#40	Document stores
	#121	Relational DBMS

Score	9.06
Rank	#46	Overall
	#29	Relational DBMS

Score	1.59
Rank	#151	Overall
	#70	Relational DBMS

Score	0.00
Rank	#383	Overall
	#41	Time Series DBMS

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Website

alasql.org

www.ibm.com/products/netezza

planetscale.com

siridb.com

www.mireo.com/spacetime

Technical documentation

github.com/AlaSQL/alasql

planetscale.com/docs

docs.siridb.com

Developer

Andrey Gershun & Mathias R. Wulff

IBM

PlanetScale

Cesbit

Mireo

Initial release

2014

2000

2020

2017

2020

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

MIT License

commercial

Cloud-based only

Only available as a cloud service

yes

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

included in appliance

Docker
Linux
macOS

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

Numeric data

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

yes

SQL

Support of SQL

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

yes

with proprietary extensions

A subset of ANSI SQL is implemented

APIs and other access methods

JavaScript API

JDBC
ODBC
OLE DB

ADO.NET
JDBC
MySQL protocol
ODBC

HTTP API

RESTful HTTP API

Supported programming languages

JavaScript

C
C++
Fortran
Java
Lua
Perl
Python
R

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

C#
C++
Python

Server-side scripts

Stored procedures

yes

proprietary syntax

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

Multi-source replication
Source-replica replication

yes

Real-time block device replication (DRBD)

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency across shards
Immediate Consistency within a shard

Immediate Consistency

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

ACID at shard level

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

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

Users with fine-grained authorization concept

no user groups or roles

simple rights management via user accounts

yes

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