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DBMS > Amazon DocumentDB vs. Badger vs. Ehcache vs. Oracle NoSQL

System Properties Comparison Amazon DocumentDB vs. Badger vs. Ehcache vs. Oracle NoSQL

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBadger  Xexclude from comparisonEhcache  Xexclude from comparisonOracle NoSQL  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.A widely adopted Java cache with tiered storage optionsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelDocument storeKey-value storeKey-value storeDocument store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.22
Rank#320  Overall
#47  Key-value stores
Score4.64
Rank#68  Overall
#8  Key-value stores
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­dgraph-io/­badgerwww.ehcache.orgwww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationaws.amazon.com/­documentdb/­resourcesgodoc.org/­github.com/­dgraph-io/­badgerwww.ehcache.org/­documentationdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperDGraph LabsTerracotta Inc, owned by Software AGOracle
Initial release2019201720092011
Current release3.10.0, March 202224.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJava
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Solaris SPARC/x86
Data schemeschema-freeschema-freeschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesnoyesoptional
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 indexesyesnonoyes
SQL infoSupport of SQLnononoSQL-like DML and DDL statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JCacheRESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
GoJavaC
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononono
Triggersnonoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneyes infoby using Terracotta ServerElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Immediate Consistency infodepending on configuration
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 operationsnoyes infosupports JTA and can work as an XA resourceconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infooff heap cache
User concepts infoAccess controlAccess rights for users and rolesnonoAccess rights for users and roles

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More resources
Amazon DocumentDBBadgerEhcacheOracle NoSQL
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