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DBMS > Amazon DocumentDB vs. Fauna vs. Ignite

System Properties Comparison Amazon DocumentDB vs. Fauna vs. Ignite

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFauna 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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelDocument storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.80
Rank#132  Overall
#23  Document stores
Score1.36
Rank#147  Overall
#26  Document stores
#12  Graph DBMS
#71  Relational DBMS
#10  Time Series DBMS
Score7.09
Rank#60  Overall
#7  Key-value stores
#35  Relational DBMS
Websiteaws.amazon.com/­documentdbfauna.comignite.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.fauna.comapacheignite.readme.io/­docs
DeveloperFauna, Inc.Apache Software Foundation
Initial release201920142015
Current releaseApache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++, Java, .Net
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)
Triggersnonoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesIdentity management, authentication, and access controlSecurity Hooks for custom implementations

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More resources
Amazon DocumentDBFauna infopreviously named FaunaDBIgnite
Recent citations in the news

AWS DocumentDB not MongoDB-compatible, says MongoDB Inc
6 December 2021, The Register

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

Building modern applications with a JSON document database: An introduction to Amazon DocumentDB with MongoDB compatibility
12 April 2022, Database Trends and Applications

Introduction to Amazon DocumentDB With MongoDB Compatibility
19 October 2020, AiThority

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FaunaDB: An Introduction
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Fauna CEO says cloud APIs help developers build apps without a database
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5 May 2022, iProgrammer

GridGain Announces Virtual Apache Ignite Summit 2022, Opens Call for Papers
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20 January 2022, iProgrammer

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19 April 2022, InfoQ.com

Data Warehouse Software Market Size, Trends and Forecast to 2029 | BI360 Data Warehouse, Microsoft, Qlik Compose, Acho, Anzo, Apache Ignite, IBM, ServData Dataform, PromptCloud. – SMU Daily Mustang
14 May 2022, SMU Daily Mustang

provided by Google News

Job opportunities

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