DBMS > Ehcache vs. Ingres vs. MaxDB vs. RDFox vs. Snowflake

System Properties Comparison Ehcache vs. Ingres vs. MaxDB vs. RDFox vs. Snowflake

Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

Well established RDBMS

A robust and reliable RDBMS optimized to run all major SAP solutions

High performance knowledge graph and semantic reasoning engine

Cloud-based data warehousing service for structured and semi-structured data

Primary database model

Secondary database models

Relational DBMS

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

Score	4.64
Rank	#68	Overall
	#8	Key-value stores

Score	3.80
Rank	#82	Overall
	#44	Relational DBMS

Score	2.26
Rank	#114	Overall
	#55	Relational DBMS

Score	0.29
Rank	#300	Overall
	#24	Graph DBMS
	#13	RDF stores

Score	130.36
Rank	#8	Overall
	#5	Relational DBMS

Website

www.ehcache.org

www.actian.com/databases/ingres

maxdb.sap.com

www.oxfordsemantic.tech

www.snowflake.com

Technical documentation

www.ehcache.org/documentation

docs.actian.com/ingres

maxdb.sap.com/documentation

docs.oxfordsemantic.tech

docs.snowflake.net/manuals/index.html

Developer

Terracotta Inc, owned by Software AG

Actian Corporation

SAP, acquired from Software AG (Adabas-D) in 1997

Oxford Semantic Technologies

Snowflake Computing Inc.

Initial release

2009

1974

originally developed at University Berkely in early 1970s

1984

2017

2014

Current release

3.10.0, March 2022

11.2, May 2022

7.9.10.12, February 2024

6.0, Septermber 2022

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

commercial

Limited community edition free

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

C++

Server operating systems

All OS with a Java VM

AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows

AIX
HP-UX
Linux
Solaris
Windows

Linux
macOS
Windows

hosted

Data scheme

schema-free

yes

RDF schemas

yes

support of semi-structured data formats (JSON, XML, Avro)

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.

but tools for importing/exporting data from/to XML-files available

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

JCache

.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)

ADO.NET
JDBC
ODBC
WebDAV

RESTful HTTP API
SPARQL 1.1

CLI Client
JDBC
ODBC

Supported programming languages

Java

.Net
C#
Java
Perl
PHP
Python

C
Java

JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

Cache Event Listeners

yes

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

horizontal partitioning

Ingres Star to access multiple databases simultaneously

none

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

Ingres Replicator

Source-replica replication

replication via a shared file system

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable Consistency (Strong, Eventual, Weak)

Immediate Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

supports JTA and can work as an XA resource

ACID

Concurrency

Support for concurrent manipulation of data

yes

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

Roles, resources, and access types

Users with fine-grained authorization concept, user roles and pluggable authentication

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