DBMS > AlaSQL vs. Blueflood vs. Oracle Rdb

System Properties Comparison AlaSQL vs. Blueflood vs. Oracle Rdb

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Scalable TimeSeries DBMS based on Cassandra

Primary database model

Document store
Relational DBMS

Time Series DBMS

Relational DBMS

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

Score	0.56
Rank	#226	Overall
	#35	Document stores
	#108	Relational DBMS

Score	0.00
Rank	#357	Overall
	#33	Time Series DBMS

Score	1.17
Rank	#165	Overall
	#79	Relational DBMS

Website

alasql.org

blueflood.io

www.oracle.com/technetwork/database/database-technologies/rdb/overview/index.html

Technical documentation

github.com/agershun/alasql

github.com/rackerlabs/blueflood/wiki

Developer

Andrey Gershun & Mathias R. Wulff

Rackspace

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

2014

2013

1984

Current release

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

MIT-License

Open Source

Apache 2.0

commercial

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

Server operating systems

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

Linux
OS X

HP Open VMS

Data scheme

schema-free

predefined scheme

Flexible Schema (defined schema, partial schema, 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

APIs and other access methods

JavaScript API

HTTP REST

Supported programming languages

JavaScript

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

based on Cassandra

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

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

yes, on a single node

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

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