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DBMS > Amazon DocumentDB vs. BigchainDB vs. KeyDB vs. Kinetica vs. TimesTen

System Properties Comparison Amazon DocumentDB vs. BigchainDB vs. KeyDB vs. Kinetica vs. TimesTen

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonKeyDB  Xexclude from comparisonKinetica  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsFully vectorized database across both GPUs and CPUsIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeDocument storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.85
Rank#208  Overall
#35  Document stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.bigchaindb.comgithub.com/­Snapchat/­KeyDB
keydb.dev
www.kinetica.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationaws.amazon.com/­documentdb/­resourcesbigchaindb.readthedocs.io/­en/­latestdocs.keydb.devdocs.kinetica.comdocs.oracle.com/­database/­timesten-18.1
DeveloperEQ Alpha Technology Ltd.KineticaOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20192016201920121998
Current release7.1, August 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoBSD-3commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++C, C++
Server operating systemshostedLinuxLinuxLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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.nonononono
Secondary indexesyesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLnononoSQL-like DML and DDL statementsyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)CLI Client
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Haskell
Java
JavaScript
Python
Ruby
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
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoLuauser defined functionsPL/SQL
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factorMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsOptimistic locking, atomic execution of commands blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and rolesyessimple password-based access control and ACLAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBBigchainDBKeyDBKineticaTimesTen
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