DBMS > EventStoreDB vs. Memcached vs. Microsoft Azure AI Search vs. Netezza vs. ToroDB

System Properties Comparison EventStoreDB vs. Memcached vs. Microsoft Azure AI Search vs. Netezza vs. ToroDB

Editorial information provided by DB-Engines

Name

ToroDB 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.

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

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

Data warehouse and analytics appliance part of IBM PureSystems

A MongoDB-compatible JSON document store, built on top of PostgreSQL

Primary database model

Secondary database models

Vector DBMS

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

Score	1.07
Rank	#181	Overall
	#1	Event Stores

Score	16.84
Rank	#32	Overall
	#4	Key-value stores

Score	5.75
Rank	#58	Overall
	#7	Search engines

Score	7.56
Rank	#48	Overall
	#31	Relational DBMS

Website

www.eventstore.com

www.memcached.org

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

www.ibm.com/products/netezza

github.com/torodb/server

Technical documentation

developers.eventstore.com

github.com/memcached/memcached/wiki

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

Developer

Event Store Limited

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

Microsoft

IBM

8Kdata

Initial release

2012

2003

2015

2000

2016

Current release

21.2, February 2021

1.6.29, June 2024

License

Commercial or Open Source

Open Source

BSD license

commercial

Open Source

AGPL-V3

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

FreeBSD
Linux
OS X
Unix
Windows

hosted

Linux

included in appliance

All OS with a Java 7 VM

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

string, integer, double, boolean, date, object_id

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

APIs and other access methods

Proprietary protocol

RESTful HTTP API

JDBC
ODBC
OLE DB

Supported programming languages

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

C#
Java
JavaScript
Python

C
C++
Fortran
Java
Lua
Perl
Python
R

Server-side scripts

Stored procedures

yes

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Repcached, a Memcached patch, provides this functionallity

yes

Implicit feature of the cloud service

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

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

yes

using SASL (Simple Authentication and Security Layer) protocol

yes

using Azure authentication

Users with fine-grained authorization concept

Access rights for users and roles

More information provided by the system vendor

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources

DB-Engines blog posts

Redis extends the lead in the DB-Engines key-value store ranking
3 February 2014, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

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