DBMS > EventStoreDB vs. eXtremeDB

System Properties Comparison EventStoreDB vs. eXtremeDB

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Editorial information provided by DB-Engines

Name

Description

Industrial-strength, open-source database solution built from the ground up for event sourcing.

Natively in-memory DBMS with options for persistency, high-availability and clustering

Primary database model

Event Store

Relational DBMS
Time Series DBMS

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Score	1.04
Rank	#181	Overall
	#1	Event Stores

Score	0.64
Rank	#233	Overall
	#107	Relational DBMS
	#19	Time Series DBMS

Website

www.eventstore.com

www.mcobject.com

Technical documentation

developers.eventstore.com

www.mcobject.com/docs/extremedb.htm

Developer

Event Store Limited

McObject

Initial release

2012

2001

Current release

21.2, February 2021

8.2, 2021

License

Commercial or Open Source

Open Source

commercial

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

C and C++

Server operating systems

Linux
Windows

AIX
HP-UX
Linux
macOS
Solaris
Windows

Data scheme

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.

support of XML interfaces available

Secondary indexes

yes

SQL

Support of SQL

yes

with the option: eXtremeSQL

APIs and other access methods

.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API

Supported programming languages

.Net
C
C#
C++
Java
Lua
Python
Scala

Server-side scripts

Stored procedures

yes

Triggers

yes

by defining events

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning / sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Active Replication Fabric™ for IoT
Multi-source replication

by means of eXtremeDB Cluster option
Source-replica replication

by means of eXtremeDB High Availability option

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Optimistic (MVCC) and pessimistic (locking) strategies available

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

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