DBMS > EventStoreDB vs. Greenplum vs. KairosDB vs. Microsoft Azure AI Search vs. Tkrzw

System Properties Comparison EventStoreDB vs. Greenplum vs. KairosDB vs. Microsoft Azure AI Search vs. Tkrzw

Editorial information provided by DB-Engines

Name

Description

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

Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database

A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.

Distributed Time Series DBMS based on Cassandra or H2

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

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

Primary database model

Secondary database models

Document store
Spatial DBMS

Vector DBMS

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

Score	1.19
Rank	#173	Overall
	#1	Event Stores

Score	8.08
Rank	#48	Overall
	#31	Relational DBMS

Score	0.67
Rank	#233	Overall
	#20	Time Series DBMS

Score	5.52
Rank	#59	Overall
	#6	Search engines

Score	0.07
Rank	#372	Overall
	#57	Key-value stores

Website

www.eventstore.com

greenplum.org

github.com/kairosdb/kairosdb

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

dbmx.net/tkrzw

Technical documentation

developers.eventstore.com

docs.greenplum.org

kairosdb.github.io

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

Developer

Event Store Limited

Pivotal Software Inc.

Microsoft

Mikio Hirabayashi

Initial release

2012

2005

2013

2015

2020

Current release

21.2, February 2021

7.0.0, September 2023

1.2.2, November 2018

0.9.3, August 2020

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache 2.0

commercial

Open Source

Apache Version 2.0

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

C++

Server operating systems

Linux
Windows

Linux

Linux
OS X
Windows

hosted

Linux
macOS

Data scheme

yes

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.

yes

since Version 4.2

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC
ODBC

Graphite protocol
HTTP REST
Telnet API

RESTful HTTP API

Supported programming languages

C
Java
Perl
Python
R

Java
JavaScript

Node.js
PHP
Python

C#
Java
JavaScript
Python

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

Sharding

Implicit feature of the cloud service

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

selectable replication factor

based on Cassandra

yes

Implicit feature of the cloud service

none

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

Immediate Consistency

Foreign keys

Referential integrity

yes

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.

yes

using specific database classes

User concepts

Access control

fine grained access rights according to SQL-standard

simple password-based access control

yes

using Azure authentication

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