DBMS > EJDB vs. FaunaDB vs. Microsoft Azure Search

System Properties Comparison EJDB vs. FaunaDB vs. Microsoft Azure Search

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Editorial information provided by DB-Engines

Name

Description

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

FaunaDB provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.

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

Primary database model

Document store

Document store
Graph DBMS
Relational DBMS
Time Series DBMS

Search engine

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

Score	0.26
Rank	#264	Overall
	#38	Document stores

Score	1.91
Rank	#127	Overall
	#21	Document stores
	#9	Graph DBMS
	#64	Relational DBMS
	#9	Time Series DBMS

Score	6.45
Rank	#59	Overall
	#6	Search engines

Website

ejdb.org

fauna.com

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

Technical documentation

github.com/Softmotions/ejdb/blob/master/README.md

docs.fauna.com

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

Developer

Softmotions

Fauna, Inc.

Microsoft

Initial release

2012

2014

2015

Current release

License

Commercial or Open Source

Open Source

GPLv2

commercial

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

Scala

Server operating systems

server-less

hosted

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

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.

Secondary indexes

yes

SQL

Support of SQL

APIs and other access methods

in-process shared library

RESTful HTTP API

Supported programming languages

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift

.Net
C#

Server-side scripts

Stored procedures

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

consistent hashing

Sharding

Implicit feature of the cloud service

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication

yes

Implicit feature of the cloud service

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

typically not needed, however similar functionality with collection joins possible

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

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.

User concepts

Access control

Identity management, authentication, and access control

yes

using Azure authentication

More information provided by the system vendor

Specific characteristics

Flexible query model that combines GraphQL with custom business logic Effortlessly...
» more

Competitive advantages

Native GraphQL support with automatic mutations for easy on-ramp Native GraphQL,...
» more

Typical application scenarios

Javascript apps Serverless backends for microservices Cloud-native apps B2B and B2C...
» more

Key customers

ShiftX
» more

Licensing and pricing models

Usage-based pricing including a free tier
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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Recent citations in the news

Portraying breast cancers with long noncoding RNAs
2 September 2016, Science Advances

provided by Google News

FaunaDB Closes $27M Series A, Welcomes New Leadership
1 July 2020, Crunchbase News

This early Twitter engineer has a suggestion for your next database
10 August 2020, TechRepublic

Cloud native, chaos-tolerant FaunaDB adds support for SQL, GraphQL, and CQL
9 April 2019, ZDNet

Introducing FaunaDB Serverless Cloud
14 June 2017, InfoQ.com

Has FaunaDB Cracked the Code for Global Transactionality?
12 December 2018, Datanami

provided by Google News

Cognitive Search - Azure Search with AI | Azure Friday - Microsoft
6 September 2019, Channel 9

How to use Azure Search in .Net
23 April 2018, InfoWorld

Knowledge mining using the knowledge store feature of Azure Search - Microsoft
17 September 2019, Channel 9

Azure Cognitive Search brings knowledge mining to the enterprise
21 November 2019, SDTimes.com

Microsoft Partner Forum 2020: Empowering Partners to Differentiate and Grow with Knowledge Mining
6 October 2020, Microsoft

provided by Google News

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