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DBMS > Amazon DocumentDB vs. KeyDB vs. Manticore Search vs. Stardog

System Properties Comparison Amazon DocumentDB vs. KeyDB vs. Manticore Search vs. Stardog

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonKeyDB  Xexclude from comparisonManticore Search  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsMulti-storage database for search, including full-text search.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument storeKey-value storeSearch engineGraph DBMS
RDF store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.29
Rank#302  Overall
#21  Search engines
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­documentdbgithub.com/­Snapchat/­KeyDB
keydb.dev
manticoresearch.comwww.stardog.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.keydb.devmanual.manticoresearch.comdocs.stardog.com
DeveloperEQ Alpha Technology Ltd.Manticore SoftwareStardog-Union
Initial release2019201920172010
Current release6.0, February 20237.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Open Source infoGPL version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemshostedLinuxFreeBSD
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeFixed schemaschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLno infoImport/export of XML data possible
Secondary indexesyesyes infoby using the Redis Search moduleyes infofull-text index on all search fieldsyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoSQL-like query languageYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol infoRESP - REdis Serialization ProtocoBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoLuauser defined functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnononoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
Synchronous replication based on Galera libraryMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsOptimistic locking, atomic execution of commands blocks and scriptsyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolessimple password-based access control and ACLnoAccess rights for users and roles

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More resources
Amazon DocumentDBKeyDBManticore SearchStardog
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