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DBMS > Amazon DocumentDB vs. Faircom DB vs. RDFox vs. Sequoiadb

System Properties Comparison Amazon DocumentDB vs. Faircom DB vs. RDFox vs. Sequoiadb

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonRDFox  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.High performance knowledge graph and semantic reasoning engineNewSQL database with distributed OLTP and SQL
Primary database modelDocument storeKey-value store
Relational DBMS
Graph DBMS
RDF store
Document store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score0.42
Rank#263  Overall
#41  Document stores
#121  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.faircom.com/­products/­faircom-dbwww.oxfordsemantic.techwww.sequoiadb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.oxfordsemantic.techwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperFairCom CorporationOxford Semantic TechnologiesSequoiadb Ltd.
Initial release2019197920172013
Current releaseV13, July 20246.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availablecommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++C++C++
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
macOS
Windows
Linux
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yes infoRDF schemasschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyes infooid, date, timestamp, binary, regex
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 indexesyesyesyes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsnoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
RESTful HTTP API
SPARQL 1.1
proprietary protocol using JSON
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
Java
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++JavaScript
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).replication via a shared file systemSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual 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 operationstunable from ACID to Eventually ConsistentACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and rolesFine grained access rights according to SQL-standard with additional protections for filesRoles, resources, and access typessimple password-based access control

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More resources
Amazon DocumentDBFaircom DB infoformerly c-treeACERDFoxSequoiadb
Recent citations in the news

Unlock the power of parallel indexing in Amazon DocumentDB
19 June 2024, AWS Blog

AWS announces Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service
16 May 2024, AWS Blog

Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0
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Samsung acquires UK-based knowledge graph company
19 July 2024, evertiq.com

University spin-out Oxford Semantic Technologies acquired by Samsung Electronics
16 July 2024, University of Oxford

Samsung eyes Oxford tech firm for innovative AI venture
20 July 2024, Oxford Mail

Use semantic reasoning to infer new facts from your RDF graph by integrating RDFox with Amazon Neptune
20 February 2023, AWS Blog

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