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DBMS > Amazon DocumentDB vs. Badger vs. Brytlyt vs. FileMaker vs. TypeDB

System Properties Comparison Amazon DocumentDB vs. Badger vs. Brytlyt vs. FileMaker vs. TypeDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonFileMaker  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFileMaker is a cross-platform RDBMS that includes a GUI frontend.TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument storeKey-value storeRelational DBMSRelational DBMSGraph 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
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­dgraph-io/­badgerbrytlyt.iowww.claris.com/­filemakertypedb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iowww.claris.com/­resources/­documentationtypedb.com/­docs
DeveloperDGraph LabsBrytlytClaris infoa subsidiary of AppleVaticle
Initial release20192017201619832016
Current release5.0, August 202319.4.1, November 20212.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++ and CUDAJava
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML formatno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoyesyes infovia pluginsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go.Net
C
C++
Delphi
Java
Perl
Python
Tcl
PHPAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnonouser defined functions infoin PL/pgSQLyesno
Triggersnonoyesyesno
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 replicasnoneSource-replica replicationSource-replica replication, warm standby infosince Version 14Multi-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Amazon DocumentDBBadgerBrytlytFileMakerTypeDB 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 DocumentDBBadgerBrytlytFileMakerTypeDB infoformerly named Grakn
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