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DBMS > Amazon DocumentDB vs. Interbase vs. Memcached

System Properties Comparison Amazon DocumentDB vs. Interbase vs. Memcached

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonInterbase  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceLight-weight proven RDBMS infooriginally from BorlandIn-memory key-value store, originally intended for caching
Primary database modelDocument storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websiteaws.amazon.com/­documentdbwww.embarcadero.com/­products/­interbasewww.memcached.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.embarcadero.com/­products/­interbasegithub.com/­memcached/­memcached/­wiki
DeveloperEmbarcaderoDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release201919842003
Current releaseInterBase 2020, December 20191.6.25, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nono infoexport as XML data possible
Secondary indexesyesyesno
SQL infoSupport of SQLnoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageno
Triggersnoyesno
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 replicasInterbase Change Viewsnone infoRepcached, a Memcached patch, provides this functionallity
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Amazon DocumentDBInterbaseMemcached
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