DBMS > Ehcache vs. Immudb vs. InfinityDB vs. SWC-DB

System Properties Comparison Ehcache vs. Immudb vs. InfinityDB vs. SWC-DB

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Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.

A Java embedded Key-Value Store which extends the Java Map interface

A high performance, scalable Wide Column DBMS

Primary database model

Key-value store

Wide column store

Secondary database models

Relational DBMS

Time Series DBMS

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

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

Score	0.24
Rank	#305	Overall
	#43	Key-value stores

Score	0.00
Rank	#378	Overall
	#57	Key-value stores

Score	0.01
Rank	#376	Overall
	#13	Wide column stores

Website

www.ehcache.org

github.com/codenotary/immudb
immudb.io

boilerbay.com

github.com/kashirin-alex/swc-db
www.swcdb.org

Technical documentation

www.ehcache.org/documentation

docs.immudb.io

boilerbay.com/infinitydb/manual

Developer

Terracotta Inc, owned by Software AG

Codenotary

Boiler Bay Inc.

Alex Kashirin

Initial release

2009

2020

2002

2020

Current release

3.10.0, March 2022

1.2.3, April 2022

4.0

0.5, April 2021

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

Open Source

Apache Version 2.0

commercial

Open Source

GPL V3

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

Java

C++

Server operating systems

All OS with a Java VM

BSD
Linux
macOS
Solaris
Windows
z/OS

All OS with a Java VM

Linux

Data scheme

schema-free

yes

nested virtual Java Maps, multi-value, logical â€˜tuple spaceâ€™ runtime Schema upgrade

schema-free

Typing

predefined data types such as float or date

yes

all Java primitives, Date, CLOB, BLOB, huge sparse arrays

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

manual creation possible, using inversions based on multi-value capability

SQL

Support of SQL

SQL-like syntax

SQL-like query language

APIs and other access methods

JCache

gRPC protocol
PostgreSQL wire protocol

Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/docs/ItemSpaceDataStructures.htm)

Proprietary protocol
Thrift

Supported programming languages

Java

.Net
Go
Java
JavaScript (Node.js)
Python

Java

C++

Server-side scripts

Stored procedures

Triggers

yes

Cache Event Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

none

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

READ-COMMITTED or SERIALIZED

Immediate Consistency

Foreign keys

Referential integrity

manual creation possible, using inversions based on multi-value capability

Transaction concepts

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

yes

supports JTA and can work as an XA resource

ACID

Optimistic locking for transactions; no isolation for bulk loads

Concurrency

Support for concurrent manipulation of data

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

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