DBMS > EventStoreDB vs. IRONdb vs. PieCloudDB

System Properties Comparison EventStoreDB vs. IRONdb vs. PieCloudDB

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Editorial information provided by DB-Engines

Name

IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

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

A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity

A cloud-native analytic database platform with new technologoy for elastic MPP

Primary database model

Event Store

Time Series DBMS

Relational DBMS

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

Score	1.07
Rank	#177	Overall
	#1	Event Stores

Score	0.28
Rank	#290	Overall
	#131	Relational DBMS

Website

www.eventstore.com

www.circonus.com/solutions/time-series-database/

www.openpie.com

Technical documentation

developers.eventstore.com

docs.circonus.com/irondb/category/getting-started

Developer

Event Store Limited

Circonus LLC.

OpenPie

Initial release

2012

2017

Current release

21.2, February 2021

V0.10.20, January 2018

2.1, January 2023

License

Commercial or Open Source

Open Source

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

C and C++

Server operating systems

Linux
Windows

Linux

hosted

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

text, numeric, histograms

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

SQL-like query language (Circonus Analytics Query Language: CAQL)

yes

APIs and other access methods

HTTP API

CLI Client
JDBC
ODBC

Supported programming languages

.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala

Java
PL/SQL
Python
R

Server-side scripts

Stored procedures

yes, in Lua

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

Automatic, metric affinity per node

yes

Replication methods

Methods for redundantly storing data on multiple nodes

configurable replication factor, datacenter aware

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate consistency per node, eventual consistency across nodes

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

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.

User concepts

Access control

User Roles and pluggable authentication with full SQL Standard

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More resources

Recent citations in the news

Event Store Expands Cloud Access to Industry-First Event-Native Data Platform to Power Real-Time Data Analytics, Microservices and AI Applications
9 October 2024, Business Wire

Event Store Cloud Now Available on AWS Marketplace
9 October 2024, Business Wire

provided by Google News

Apica gets $6 million in funding and buys Circonus -
21 February 2024, Enterprise Times

provided by Google News

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