DBMS > EventStoreDB vs. KairosDB vs. Microsoft Azure AI Search vs. Oracle Coherence

System Properties Comparison EventStoreDB vs. KairosDB vs. Microsoft Azure AI Search vs. Oracle Coherence

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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.

Distributed Time Series DBMS based on Cassandra or H2

Search-as-a-service for web and mobile app development

Oracles in-memory data grid solution

Primary database model

Secondary database models

Vector DBMS

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

Score	1.10
Rank	#179	Overall
	#1	Event Stores

Score	0.62
Rank	#239	Overall
	#20	Time Series DBMS

Score	5.59
Rank	#63	Overall
	#7	Search engines

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Website

www.eventstore.com

github.com/kairosdb/kairosdb

azure.microsoft.com/en-us/services/search

www.oracle.com/java/coherence

Technical documentation

developers.eventstore.com

kairosdb.github.io

learn.microsoft.com/en-us/azure/search

docs.oracle.com/en/middleware/standalone/coherence

Developer

Event Store Limited

Microsoft

Oracle

Initial release

2012

2013

2015

2007

Current release

21.2, February 2021

1.2.2, November 2018

14.1, August 2023

License

Commercial or Open Source

Open Source

Apache 2.0

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

Server operating systems

Linux
Windows

Linux
OS X
Windows

hosted

All OS with a Java VM

Data scheme

schema-free

yes

schema-free

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

APIs and other access methods

Graphite protocol
HTTP REST
Telnet API

RESTful HTTP API

JCache
JPA
RESTful HTTP API

Supported programming languages

Java
JavaScript

Node.js
PHP
Python

C#
Java
JavaScript
Python

.Net
C++
Java

Server-side scripts

Stored procedures

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

Sharding

Implicit feature of the cloud service

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

yes

Implicit feature of the cloud service

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

In-memory capabilities

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

yes

User concepts

Access control

simple password-based access control

yes

using Azure authentication

authentification to access the cache via certificates or http basic authentication

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