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DBMS > Amazon DocumentDB vs. Apache IoTDB vs. KeyDB vs. Manticore Search

System Properties Comparison Amazon DocumentDB vs. Apache IoTDB vs. KeyDB vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonKeyDB  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsMulti-storage database for search, including full-text search.
Primary database modelDocument storeTime Series DBMSKey-value storeSearch engine
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#124  Overall
#22  Document stores
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.63
Rank#232  Overall
#32  Key-value stores
Score0.23
Rank#301  Overall
#21  Search engines
Websiteaws.amazon.com/­documentdbiotdb.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
manticoresearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcesiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.keydb.devmanual.manticoresearch.com
DeveloperApache Software FoundationEQ Alpha Technology Ltd.Manticore Software
Initial release2019201820192017
Current release1.1.0, April 20236.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSD-3Open Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemshostedAll OS with a Java VM (>= 1.8)LinuxFreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeFixed schema
Typing infopredefined data types such as float or dateyesyespartial 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, Boolean
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.nononoCan index from XML
Secondary indexesyesyesyes infoby using the Redis Search moduleyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
Native API
Proprietary protocol infoRESP - REdis Serialization ProtocoBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Java
Python
Scala
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
Server-side scripts infoStored proceduresnoyesLuauser defined functions
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
Synchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Integration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Strong eventual consistency with CRDTs
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 operationsnoOptimistic locking, atomic execution of commands blocks and scriptsyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoThe original contents of fields are not stored in the Manticore index.
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 rolesyessimple password-based access control and ACLno

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More resources
Amazon DocumentDBApache IoTDBKeyDBManticore Search
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