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DBMS > Amazon DocumentDB vs. Interbase vs. Memcached vs. Microsoft Access vs. RisingWave

System Properties Comparison Amazon DocumentDB vs. Interbase vs. Memcached vs. Microsoft Access vs. RisingWave

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonInterbase  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRisingWave  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 cachingMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelDocument storeRelational DBMSKey-value storeRelational DBMSRelational DBMS
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
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.embarcadero.com/­products/­interbasewww.memcached.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.risingwave.com/­database
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.embarcadero.com/­products/­interbasegithub.com/­memcached/­memcached/­wikideveloper.microsoft.com/­en-us/­accessdocs.risingwave.com/­docs/­current/­intro
DeveloperEmbarcaderoDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftRisingWave Labs
Initial release20191984200319922022
Current releaseInterBase 2020, December 20191.6.27, May 20241902 (16.0.11328.20222), March 20191.2, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD licensecommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCC++Rust
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsDocker
Linux
macOS
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesStandard SQL-types and JSON
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 possibleno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnoyes infobut not compliant to any SQL standardyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
Proprietary protocolADO.NET
DAO
ODBC
OLE DB
JDBC
PostgreSQL wire 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
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languagenoyes infosince Access 2010 using the ACE-engineUDFs in Python or Java
Triggersnoyesnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnonenonenonenone
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 functionallitynone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesnoyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolno infoa simple user-level security was built in till version Access 2003Users and Roles

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More resources
Amazon DocumentDBInterbaseMemcachedMicrosoft AccessRisingWave
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