DBMS > FatDB vs. Microsoft Azure Cosmos DB vs. Percona Server for MongoDB vs. YugaByte DB

System Properties Comparison FatDB vs. Microsoft Azure Cosmos DB vs. Percona Server for MongoDB vs. YugaByte 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

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

Globally distributed, horizontally scalable, multi-model database service

A drop-in replacement for MongoDB Community Edition with enterprise-grade features.

High-performance distributed SQL database for global, internet-scale applications

Primary database model

Document store
Key-value store

Document store
Graph DBMS
Key-value store
Wide column store

Document store

Relational DBMS

Secondary database models

Document store
Wide column store

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

Score	31.43
Rank	#24	Overall
	#4	Document stores
	#2	Graph DBMS
	#3	Key-value stores
	#3	Wide column stores

Score	0.52
Rank	#205	Overall
	#30	Document stores

Score	0.64
Rank	#187	Overall
	#90	Relational DBMS

Website

azure.microsoft.com/services/cosmos-db

www.percona.com/software/mongo-database/percona-server-for-mongodb

www.yugabyte.com

Technical documentation

docs.microsoft.com/en-us/azure/cosmos-db

www.percona.com/doc/percona-server-for-mongodb/LATEST/index.html

docs.yugabyte.com
github.com/YugaByte/yugabyte-db

Developer

FatCloud

Microsoft

Percona

YugaByte

Initial release

2012

2014

2015

2017

Current release

3.4.10-2.10, November 2017

1.2, March 2019

License

Commercial or Open Source

commercial

Open Source info

GPL Version 2

Open Source info

Apache 2.0, enterprise edition available

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

C and C++

Server operating systems

Windows

hosted

Linux

Linux
OS X

Data scheme

schema-free

depending on used data model

Typing

predefined data types such as float or date

yes

JSON types

yes

XML support info

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

All properties auto-indexed by default

yes

SQL

Support of SQL

Via inetgration in SQL Server

SQL-like query language

yes, PostgreSQL compatible

APIs and other access methods

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

DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API

proprietary protocol using JSON

YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language

Supported programming languages

.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python

Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk

C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby

Server-side scripts info

Stored procedures

yes

via applications

JavaScript

Triggers

yes

via applications

JavaScript

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

selectable replication factor

yes

Implicit feature of the cloud service

Master-slave replication

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

with Hadoop integration info

Integration with Hadoop/HDInsight on Azure*

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency info

Consistency level configurable on request level
Session Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency consistency on writes and tunable consistency on reads

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

Multi-item ACID transactions with snapshot isolation within a partition

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

based on RocksDB

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

via In-Memory Engine

User concepts info

Access control

Can implement custom security layer via applications

Access rights can be defined down to the item level

Access rights for users and roles

yes

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