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DBMS > Amazon DocumentDB vs. RavenDB vs. Realm vs. Sphinx vs. SWC-DB

System Properties Comparison Amazon DocumentDB vs. RavenDB vs. Realm vs. Sphinx vs. SWC-DB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonRavenDB  Xexclude from comparisonRealm  Xexclude from comparisonSphinx  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen source search engine for searching in data from different sources, e.g. relational databasesA high performance, scalable Wide Column DBMS
Primary database modelDocument storeDocument storeDocument storeSearch engineWide column store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score2.68
Rank#102  Overall
#19  Document stores
Score7.18
Rank#52  Overall
#8  Document stores
Score5.97
Rank#56  Overall
#5  Search engines
Score0.01
Rank#378  Overall
#13  Wide column stores
Websiteaws.amazon.com/­documentdbravendb.netrealm.iosphinxsearch.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationaws.amazon.com/­documentdb/­resourcesravendb.net/­docsrealm.io/­docssphinxsearch.com/­docs
DeveloperHibernating RhinosRealm, acquired by MongoDB in May 2019Sphinx Technologies Inc.Alex Kashirin
Initial release20192010201420012020
Current release5.4, July 20223.5.1, February 20230.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3, commercial license availableOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++C++
Server operating systemshostedLinux
macOS
Raspberry Pi
Windows
Android
Backend: server-less
iOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonono
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query language (RQL)noSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocolProprietary protocol
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Server-side scripts infoStored proceduresnoyesno inforuns within the applications so server-side scripts are unnecessarynono
Triggersnoyesyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID, Cluster-wide transaction availableACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users and rolesAuthorization levels configured per client per databaseyesno

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More resources
Amazon DocumentDBRavenDBRealmSphinxSWC-DB infoSuper Wide Column Database
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