DBMS > Microsoft Azure Cosmos DB vs. Sqrrl

System Properties Comparison Microsoft Azure Cosmos DB vs. Sqrrl

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Editorial information provided by DB-Engines

Name

Description

Globally distributed, horizontally scalable, multi-model database service

Adaptable, secure NoSQL built on Apache Accumulo

Primary database model

Document store
Graph DBMS
Key-value store
Wide column store

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

Score	31.33
Rank	#24	Overall
	#4	Document stores
	#2	Graph DBMS
	#3	Key-value stores
	#3	Wide column stores

Score	0.48
Rank	#207	Overall
	#29	Document stores
	#16	Graph DBMS
	#35	Key-value stores
	#10	Wide column stores

Website

azure.microsoft.com/services/cosmos-db

sqrrl.com

Technical documentation

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

Developer

Microsoft

Amazon

originally Sqrrl Data, Inc.

Initial release

2014

2012

License

Commercial or Open Source

commercial

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

Java

Server operating systems

hosted

Linux

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

JSON types

yes

Secondary indexes

yes

All properties auto-indexed by default

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

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

Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift

Supported programming languages

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

Actionscript
C info

using GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk

Server-side scripts info

Stored procedures

JavaScript

Triggers

JavaScript

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

making use of Hadoop

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

selectable replication factor info

making use of Hadoop

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration info

Integration with Hadoop/HDInsight on Azure*

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Bounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency info

Consistency level configurable on request level

Immediate Consistency info

Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.

Foreign keys info

Referential integrity

Transaction concepts info

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

Multi-item ACID transactions with snapshot isolation within a partition

Atomic updates per row, document, or graph entity

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

User concepts info

Access control

Access rights can be defined down to the item level

Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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