DBMS > EventStoreDB vs. FatDB vs. SQream DB

System Properties Comparison EventStoreDB vs. FatDB vs. SQream DB

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Editorial information provided by DB-Engines

Name

FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.

Description

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

A .NET NoSQL DBMS that can integrate with and extend SQL Server.

a GPU-based, columnar RDBMS for big data analytics workloads

Primary database model

Event Store

Document store
Key-value store

Relational DBMS

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

Score	1.10
Rank	#179	Overall
	#1	Event Stores

Score	0.70
Rank	#227	Overall
	#104	Relational DBMS

Website

www.eventstore.com

sqream.com

Technical documentation

developers.eventstore.com

docs.sqream.com

Developer

Event Store Limited

FatCloud

SQream Technologies

Initial release

2012

2017

Current release

21.2, February 2021

2022.1.6, December 2022

License

Commercial or Open Source

Open Source

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++, CUDA, Haskell, Java, Scala

Server operating systems

Linux
Windows

Windows

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL Types

Secondary indexes

yes

SQL

Support of SQL

Via inetgration in SQL Server

yes

APIs and other access methods

.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings

.Net
JDBC
ODBC

Supported programming languages

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

via applications

user defined functions in Python

Triggers

yes

via applications

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate 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

User concepts

Access control

Can implement custom security layer via applications

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More resources

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9 February 2024, insideBIGDATA

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5 October 2023, fierce-network.com

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

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30 May 2018, The Times of Israel

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provided by Google News

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