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DBMS > Amazon DocumentDB vs. Firebird vs. RDF4J vs. TypeDB

System Properties Comparison Amazon DocumentDB vs. Firebird vs. RDF4J vs. TypeDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFirebird  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFirebird is an open source RDBMS forked from Borland's InterBaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument storeRelational DBMSRDF storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.firebirdsql.orgrdf4j.orgtypedb.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.firebirdsql.org/­en/­reference-manualsrdf4j.org/­documentationtypedb.com/­docs
DeveloperFirebird FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Vaticle
Initial release20192000 infoAs fork of Borland's InterBase20042016
Current release5.0.0, January 20242.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaJava
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Java
PHP
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoPSQLyesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationnoneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization conceptnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Amazon DocumentDBFirebirdRDF4J infoformerly known as SesameTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Amazon DocumentDBFirebirdRDF4J infoformerly known as SesameTypeDB infoformerly named Grakn
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