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DBMS > Google Cloud Bigtable vs. InterSystems Caché vs. SQL.JS

System Properties Comparison Google Cloud Bigtable vs. InterSystems Caché vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.

Description

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

A multi-model DBMS and application server

Port of SQLite to JavaScript

Primary database model

Key-value store
Wide column store

Key-value store
Object oriented DBMS
Relational DBMS

Relational DBMS

Secondary database models

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

Score	3.26
Rank	#92	Overall
	#13	Key-value stores
	#8	Wide column stores

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

cloud.google.com/bigtable

www.intersystems.com/products/cache

Technical documentation

cloud.google.com/bigtable/docs

docs.intersystems.com

sql.js.org/documentation/index.html

Developer

Google

InterSystems

Alon Zakai

enhancements implemented by others

Initial release

2015

1997

2012

Current release

2018.1.4, May 2020

License

Commercial or Open Source

commercial

commercial

Open Source

Cloud-based only

Only available as a cloud service

yes

no

no

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

JavaScript

Server operating systems

hosted

AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows

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

Data scheme

schema-free

depending on used data model

yes

Typing

predefined data types such as float or date

no

yes

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.

no

yes

no

Secondary indexes

no

yes

SQL

Support of SQL

no

yes

yes

SQL-92 is not fully supported

APIs and other access methods

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

.NET Client API
JDBC
ODBC
RESTful HTTP API

JavaScript API

Supported programming languages

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

C#
C++
Java

JavaScript

Server-side scripts

Stored procedures

no

yes

no

Triggers

no

yes

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

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

Immediate Consistency

none

Foreign keys

Referential integrity

no

yes

yes

Transaction concepts

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

Atomic single-row operations

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

Durability

Support for making data persistent

yes

yes

no

except by serializing a db to a file

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

no

yes

yes

User concepts

Access control

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

Access rights for users, groups and roles

no

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More resources

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