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DBMS > Amazon DocumentDB vs. Geode vs. Percona Server for MongoDB vs. Qdrant

System Properties Comparison Amazon DocumentDB vs. Geode vs. Percona Server for MongoDB vs. Qdrant

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGeode  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A high-performance vector database with neural network or semantic-based matching
Primary database modelDocument storeKey-value storeDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.60
Rank#246  Overall
#39  Document stores
Score1.28
Rank#167  Overall
#8  Vector DBMS
Websiteaws.amazon.com/­documentdbgeode.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationaws.amazon.com/­documentdb/­resourcesgeode.apache.org/­docsdocs.percona.com/­percona-distribution-for-mongodbqdrant.tech/­documentation
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.PerconaQdrant
Initial release2019200220152021
Current release1.1, February 20173.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoGPL Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Rust
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxDocker
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, 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.nononono
Secondary indexesyesnoyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoSQL-like query language (OQL)nono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java Client API
Memcached protocol
RESTful HTTP API
proprietary protocol using JSONgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functionsJavaScript
Triggersnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationSource-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency, tunable consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights per client and object definableAccess rights for users and rolesKey-based authentication

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More resources
Amazon DocumentDBGeodePercona Server for MongoDBQdrant
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