DBMS > Altibase vs. Ehcache vs. H2GIS vs. HEAVY.AI

System Properties Comparison Altibase vs. Ehcache vs. H2GIS vs. HEAVY.AI

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

A widely adopted Java cache with tiered storage options

Spatial extension of H2

A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware

Primary database model

Secondary database models

Relational DBMS

Spatial DBMS

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

Score	1.07
Rank	#186	Overall
	#87	Relational DBMS

Score	4.89
Rank	#67	Overall
	#8	Key-value stores

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	1.77
Rank	#141	Overall
	#65	Relational DBMS

Website

altibase.com

www.ehcache.org

www.h2gis.org

github.com/heavyai/heavydb
www.heavy.ai

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

www.ehcache.org/documentation

www.h2gis.org/docs/home

docs.heavy.ai

Developer

Altibase

Terracotta Inc, owned by Software AG

CNRS

HEAVY.AI, Inc.

Initial release

1999

2009

2013

2016

Current release

v7.3, 2023, August 2023

3.10.0, March 2022

5.10, January 2022

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

Open Source

Apache Version 2; commercial licenses available

Open Source

LGPL 3.0

Open Source

Apache Version 2; enterprise edition available

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

C++

Java

C++ and CUDA

Server operating systems

AIX
HP-UX
Linux

All OS with a Java VM

Linux

Data scheme

yes

schema-free

yes

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

ANSI SQL-92

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol

JCache

JDBC
ODBC
Thrift
Vega

Supported programming languages

C
C++
Java

Java

All languages supporting JDBC/ODBC/Thrift
Python

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

based on H2

Triggers

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

none

Sharding

Round robin

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

yes

based on H2

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Tunable Consistency (Strong, Eventual, Weak)

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

supports JTA and can work as an XA resource

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

fine grained access rights according to SQL-standard

yes

based on H2

fine grained access rights according to SQL-standard

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More resources

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