DBMS > EsgynDB vs. Memcached vs. Oracle Coherence vs. XTDB vs. Yaacomo

System Properties Comparison EsgynDB vs. Memcached vs. Oracle Coherence vs. XTDB vs. Yaacomo

Editorial information provided by DB-Engines

Name

Yaacomo seems to be discontinued and is removed from the DB-Engines ranking

Description

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

In-memory key-value store, originally intended for caching

Oracles in-memory data grid solution

A general purpose database with bitemporal SQL and Datalog and graph queries

OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing

Primary database model

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

Score	0.16
Rank	#329	Overall
	#146	Relational DBMS

Score	19.42
Rank	#32	Overall
	#4	Key-value stores

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

Score	0.11
Rank	#343	Overall
	#46	Document stores

Website

www.esgyn.cn

www.memcached.org

www.oracle.com/java/coherence

github.com/xtdb/xtdb
www.xtdb.com

yaacomo.com

Technical documentation

github.com/memcached/memcached/wiki

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

www.xtdb.com/docs

Developer

Esgyn

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

Oracle

Juxt Ltd.

Q2WEB GmbH

Initial release

2015

2003

2007

2019

2009

Current release

1.6.27, May 2024

14.1, August 2023

1.19, September 2021

License

Commercial or Open Source

commercial

Open Source

BSD license

commercial

Open Source

MIT License

commercial

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

C++, Java

Java

Clojure

Server operating systems

Linux

FreeBSD
Linux
OS X
Unix
Windows

All OS with a Java VM

All OS with a Java 8 (and higher) VM
Linux

Android
Linux
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

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

yes

limited SQL, making use of Apache Calcite

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

Proprietary protocol

JCache
JPA
RESTful HTTP API

HTTP REST
JDBC

JDBC
ODBC

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby

.Net
C++
Java

Clojure
Java

Server-side scripts

Stored procedures

Java Stored Procedures

Triggers

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

none

Repcached, a Memcached patch, provides this functionallity

yes, with selectable consistency level

yes, each node contains all data

Source-replica replication

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
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

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

fine grained access rights according to SQL-standard

yes

using SASL (Simple Authentication and Security Layer) protocol

authentification to access the cache via certificates or http basic authentication

fine grained access rights according to SQL-standard

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