DBMS > AlaSQL vs. Apache Phoenix vs. SWC-DB vs. YottaDB

System Properties Comparison AlaSQL vs. Apache Phoenix vs. SWC-DB vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

A scale-out RDBMS with evolutionary schema built on Apache HBase

A high performance, scalable Wide Column DBMS

A fast and solid embedded Key-value store

Primary database model

Document store
Relational DBMS

Relational DBMS

Wide column store

Key-value store

Secondary database models

Time Series DBMS

Relational DBMS

using the Octo plugin

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	1.97
Rank	#126	Overall
	#59	Relational DBMS

Score	0.01
Rank	#376	Overall
	#13	Wide column stores

Score	0.20
Rank	#317	Overall
	#47	Key-value stores

Website

alasql.org

phoenix.apache.org

github.com/kashirin-alex/swc-db
www.swcdb.org

yottadb.com

Technical documentation

github.com/AlaSQL/alasql

phoenix.apache.org

yottadb.com/resources/documentation

Developer

Andrey Gershun & Mathias R. Wulff

Apache Software Foundation

Alex Kashirin

YottaDB, LLC

Initial release

2014

2020

2001

Current release

5.0-HBase2, July 2018 and 4.15-HBase1, December 2019

0.5, April 2021

License

Commercial or Open Source

Open Source

MIT-License

Open Source

Apache Version 2.0

Open Source

GPL V3

Open Source

AGPL 3.0

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

Java

C++

Server operating systems

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

Linux
Unix
Windows

Linux

Docker
Linux

Data scheme

schema-free

yes

late-bound, schema-on-read capabilities

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

yes

SQL

Support of SQL

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

yes

SQL-like query language

by using the Octo plugin

APIs and other access methods

JavaScript API

JDBC

Proprietary protocol
Thrift

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

JavaScript

C
C#
C++
Go
Groovy
Java
PHP
Python
Scala

C++

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication
Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency or Eventual Consistency

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

optimistic locking

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

Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy

Users and groups based on OS-security mechanisms

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