DBMS > AlaSQL vs. EsgynDB vs. GeoSpock vs. InterSystems Caché

System Properties Comparison AlaSQL vs. EsgynDB vs. GeoSpock vs. InterSystems Caché

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Editorial information provided by DB-Engines

Name

GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.

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

Description

JavaScript DBMS library

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

Spatial and temporal data processing engine for extreme data scale

A multi-model DBMS and application server

Primary database model

Document store
Relational DBMS

Relational DBMS

Key-value store
Object oriented DBMS
Relational DBMS

Secondary database models

Time Series DBMS

Document store

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

Score	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	0.25
Rank	#312	Overall
	#138	Relational DBMS

Website

alasql.org

www.esgyn.cn

geospock.com

www.intersystems.com/products/cache

Technical documentation

github.com/AlaSQL/alasql

docs.intersystems.com

Developer

Andrey Gershun & Mathias R. Wulff

Esgyn

GeoSpock

InterSystems

Initial release

2014

2015

1997

Current release

2.0, September 2019

2018.1.4, May 2020

License

Commercial or Open Source

Open Source

MIT-License

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

JavaScript

C++, Java

Java, Javascript

Server operating systems

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

Linux

hosted

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

Data scheme

schema-free

yes

depending on used data model

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.

yes

Secondary indexes

yes

temporal, categorical

yes

SQL

Support of SQL

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

yes

ANSI SQL for query only (using Presto)

yes

APIs and other access methods

JavaScript API

ADO.NET
JDBC
ODBC

JDBC

.NET Client API
JDBC
ODBC
RESTful HTTP API

Supported programming languages

JavaScript

All languages supporting JDBC/ODBC/ADO.Net

C#
C++
Java

Server-side scripts

Stored procedures

Java Stored Procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Automatic sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication between multi datacenters

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

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

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

fine grained access rights according to SQL-standard

Access rights for users can be defined per table

Access rights for users, groups and roles

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