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DBMS > Amazon DocumentDB vs. Badger vs. EventStoreDB vs. Interbase

System Properties Comparison Amazon DocumentDB vs. Badger vs. EventStoreDB vs. Interbase

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBadger  Xexclude from comparisonEventStoreDB  Xexclude from comparisonInterbase  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.Industrial-strength, open-source database solution built from the ground up for event sourcing.Light-weight proven RDBMS infooriginally from Borland
Primary database modelDocument storeKey-value storeEvent StoreRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.14
Rank#328  Overall
#48  Key-value stores
Score1.07
Rank#181  Overall
#1  Event Stores
Score3.78
Rank#77  Overall
#41  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­dgraph-io/­badgerwww.eventstore.comwww.embarcadero.com/­products/­interbase
Technical documentationaws.amazon.com/­documentdb/­resourcesgodoc.org/­github.com/­dgraph-io/­badgerdevelopers.eventstore.comdocs.embarcadero.com/­products/­interbase
DeveloperDGraph LabsEvent Store LimitedEmbarcadero
Initial release2019201720121984
Current release21.2, February 2021InterBase 2020, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Android
iOS
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nonono infoexport as XML data possible
Secondary indexesyesnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresnonoyes infoInterbase procedure and trigger language
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny control
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBBadgerEventStoreDBInterbase
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