DBMS > BaseX vs. Ehcache vs. IBM Cloudant vs. SpatiaLite vs. Teradata Aster

System Properties Comparison BaseX vs. Ehcache vs. IBM Cloudant vs. SpatiaLite vs. Teradata Aster

Editorial information provided by DB-Engines

Name

Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.

Description

Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.

A widely adopted Java cache with tiered storage options

Database as a Service offering based on Apache CouchDB

Spatial extension of SQLite

Platform for big data analytics on multistructured data sources and types

Primary database model

Secondary database models

Relational DBMS

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

Score	1.52
Rank	#140	Overall
	#4	Native XML DBMS

Score	4.52
Rank	#65	Overall
	#8	Key-value stores

Score	2.64
Rank	#101	Overall
	#19	Document stores

Score	1.50
Rank	#144	Overall
	#3	Spatial DBMS

Website

basex.org

www.ehcache.org

www.ibm.com/products/cloudant

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

docs.basex.org

www.ehcache.org/documentation

cloud.ibm.com/docs/Cloudant

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

BaseX GmbH

Terracotta Inc, owned by Software AG

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Alessandro Furieri

Teradata

Initial release

2007

2009

2010

2008

2005

Current release

11.2, August 2024

3.10.0, March 2022

5.0.0, August 2020

License

Commercial or Open Source

Open Source

BSD license

Open Source

Apache Version 2; commercial licenses available

commercial

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

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

Java

Erlang

C++

Server operating systems

Linux
OS X
Windows

All OS with a Java VM

hosted

server-less

Linux

Data scheme

schema-free

yes

Flexible Schema (defined schema, partial schema, schema free)

defined schema within the relational store; partial schema or schema free in the Aster File Store

Typing

predefined data types such as float or date

XQuery supports types

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

in Aster File Store

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ

JCache

RESTful HTTP/JSON API

ADO.NET
JDBC
ODBC
OLE DB

Supported programming languages

Actionscript
C
C#
Haskell
Java
JavaScript

Node.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic

Java

C#
Java
JavaScript
Objective-C
PHP
Ruby

C
C#
C++
Java
Python
R

Server-side scripts

Stored procedures

yes

View functions (Map-Reduce) in JavaScript

R packages

Triggers

yes

via events

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

by using Terracotta Server

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

by using Terracotta Server

Multi-source replication
Source-replica replication

none

yes

Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

SQL Map-Reduce Framework

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable Consistency (Strong, Eventual, Weak)

Eventual Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

yes

Transaction concepts

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

multiple readers, single writer

yes

supports JTA and can work as an XA resource

atomic operations within a document possible

ACID

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

yes

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

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

Users with fine-grained authorization concept on 4 levels

Access rights for users can be defined per database

fine grained access rights according to SQL-standard

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More resources

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