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DBMS > Amazon DocumentDB vs. Fauna vs. HarperDB vs. Ignite

System Properties Comparison Amazon DocumentDB vs. Fauna vs. HarperDB vs. Ignite

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonHarperDB  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.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
Document storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score1.55
Rank#154  Overall
#26  Document stores
#14  Graph DBMS
#72  Relational DBMS
#13  Time Series DBMS
Score0.55
Rank#252  Overall
#38  Document stores
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Websiteaws.amazon.com/­documentdbfauna.comwww.harperdb.ioignite.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.fauna.comdocs.harperdb.io/­docsapacheignite.readme.io/­docs
DeveloperFauna, Inc.HarperDBApache Software Foundation
Initial release2019201420172015
Current release3.1, August 2021Apache Ignite 2.6
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaNode.jsC++, Java, .Net
Server operating systemshostedhostedLinux
OS X
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freedynamic schemayes
Typing infopredefined data types such as float or dateyesnoyes infoJSON data typesyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoSQL-like data manipulation statementsANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HDFS 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
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsCustom Functions infosince release 3.1yes (compute grid and cache interceptors can be used instead)
Triggersnononoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingA table resides as a whole on one (or more) nodes in a clusterSharding
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 infothe nodes on which a table resides can be definedyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and rolesIdentity management, authentication, and access controlAccess rights for users and rolesSecurity Hooks for custom implementations

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More resources
Amazon DocumentDBFauna infopreviously named FaunaDBHarperDBIgnite
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