DBMS > Apache Kylin vs. Datomic vs. KairosDB vs. Oracle Coherence

System Properties Comparison Apache Kylin vs. Datomic vs. KairosDB vs. Oracle Coherence

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Editorial information provided by DB-Engines

Name

Description

A distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stack

Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability

Distributed Time Series DBMS based on Cassandra or H2

Oracles in-memory data grid solution

Primary database model

Relational DBMS

Time Series DBMS

Key-value store

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

Score	1.25
Rank	#170	Overall
	#77	Relational DBMS

Score	1.66
Rank	#144	Overall
	#66	Relational DBMS

Score	0.67
Rank	#233	Overall
	#20	Time Series DBMS

Score	1.97
Rank	#129	Overall
	#22	Key-value stores

Website

kylin.apache.org

www.datomic.com

github.com/kairosdb/kairosdb

www.oracle.com/java/coherence

Technical documentation

kylin.apache.org/docs

docs.datomic.com

kairosdb.github.io

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

Developer

Apache Software Foundation, originally contributed from eBay Inc

Cognitect

Oracle

Initial release

2015

2012

2013

2007

Current release

3.1.0, July 2020

1.0.7075, December 2023

1.2.2, November 2018

14.1, August 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

limited edition free

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Java, Clojure

Java

Server operating systems

Linux

All OS with a Java VM

Linux
OS X
Windows

All OS with a Java VM

Data scheme

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

ANSI SQL for queries (using Apache Calcite)

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

RESTful HTTP API

Graphite protocol
HTTP REST
Telnet API

JCache
JPA
RESTful HTTP API

Supported programming languages

Clojure
Java

Java
JavaScript

Node.js
PHP
Python

.Net
C++
Java

Server-side scripts

Stored procedures

yes

Transaction Functions

Triggers

By using transaction functions

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

none

But extensive use of caching in the application peers

Sharding

based on Cassandra

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

selectable replication factor

based on Cassandra

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)

yes

optionally

In-memory capabilities

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

yes

recommended only for testing and development

yes

User concepts

Access control

simple password-based access control

authentification to access the cache via certificates or http basic authentication

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