DBMS > AlaSQL vs. Google Cloud Bigtable vs. Infobright vs. Oracle Rdb

System Properties Comparison AlaSQL vs. Google Cloud Bigtable vs. Infobright vs. Oracle Rdb

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend

Primary database model

Document store
Relational DBMS

Key-value store
Wide column store

Relational DBMS

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

Score	0.55
Rank	#232	Overall
	#35	Document stores
	#111	Relational DBMS

Score	4.44
Rank	#86	Overall
	#14	Key-value stores
	#6	Wide column stores

Score	1.01
Rank	#175	Overall
	#85	Relational DBMS

Score	1.18
Rank	#161	Overall
	#75	Relational DBMS

Website

alasql.org

cloud.google.com/bigtable

ignitetech.com/softwarelibrary/infobrightdb

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

Technical documentation

github.com/agershun/alasql

cloud.google.com/bigtable/docs

Developer

Andrey Gershun & Mathias R. Wulff

Google

Ignite Technologies Inc.; formerly InfoBright Inc.

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

2014

2015

2005

1984

Current release

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

MIT-License

commercial

The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016

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

Server operating systems

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

hosted

Linux
Windows

HP Open VMS

Data scheme

schema-free

yes

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

Knowledge Grid Technology used instead

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

gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)

ADO.NET
JDBC
ODBC

Supported programming languages

JavaScript

C#
C++
Go
Java
JavaScript (Node.js)
Python

.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Internal replication in Colossus, and regional replication between two clusters in different zones

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)

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

Atomic single-row operations

ACID

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

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

fine grained access rights according to SQL-standard

exploiting MySQL or PostgreSQL frontend capabilities

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More resources

Recent citations in the news

Meet AlaSQL, a speedy SQL database for JavaScript
15 January 2019, JAXenter

HarperDB - How and Why We Built It From The Ground Up on NodeJS
28 February 2021, hackernoon.com

provided by Google News

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Top Big Data Storage Tools 2022
16 June 2022, IT Business Edge

Database As A Service Providers Market Size, Scope and Forecast | IBM, Beats, AWS, Ninox, Aiven, MongoDB Atlas, Zoho Creator, Azure, Kintone, Oracle – Designer Women
19 June 2022, Designer Women

Google Cloud Improves SLA for Bigtable and Adds New Security Features
19 June 2021, InfoQ.com

Bigtable vs Bigquery - A Quick Overview
9 September 2021, Analytics India Magazine

provided by Google News

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