DBMS > EventStoreDB vs. Sequoiadb vs. XTDB vs. YottaDB

System Properties Comparison EventStoreDB vs. Sequoiadb vs. XTDB vs. YottaDB

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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.

NewSQL database with distributed OLTP and SQL

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

A fast and solid embedded Key-value store

Primary database model

Event Store

Document store
Relational DBMS

Document store

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	1.10
Rank	#179	Overall
	#1	Event Stores

Score	0.45
Rank	#261	Overall
	#41	Document stores
	#122	Relational DBMS

Score	0.11
Rank	#343	Overall
	#46	Document stores

Score	0.20
Rank	#317	Overall
	#47	Key-value stores

Website

www.eventstore.com

www.sequoiadb.com

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

yottadb.com

Technical documentation

developers.eventstore.com

www.sequoiadb.com/en/index.php?m=Files&a=index

www.xtdb.com/docs

yottadb.com/resources/documentation

Developer

Event Store Limited

Sequoiadb Ltd.

Juxt Ltd.

YottaDB, LLC

Initial release

2012

2013

2019

2001

Current release

21.2, February 2021

1.19, September 2021

License

Commercial or Open Source

Open Source

Server: AGPL; Client: Apache V2

Open Source

MIT License

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Clojure

Server operating systems

Linux
Windows

Linux

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

Docker
Linux

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

oid, date, timestamp, binary, regex

yes, extensible-data-notation format

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

SQL-like query language

limited SQL, making use of Apache Calcite

by using the Octo plugin

APIs and other access methods

proprietary protocol using JSON

HTTP REST
JDBC

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

.Net
C++
Java
PHP
Python

Clojure
Java

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

JavaScript

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes, each node contains all data

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Document is locked during a transaction

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

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

simple password-based access control

Users and groups based on OS-security mechanisms

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