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DBMS > AlaSQL vs. Amazon DocumentDB vs. Drizzle vs. Microsoft Access vs. Prometheus

System Properties Comparison AlaSQL vs. Amazon DocumentDB vs. Drizzle vs. Microsoft Access vs. Prometheus

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPrometheus  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryFast, scalable, highly available, and fully managed MongoDB-compatible database serviceMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Microsoft 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.)Open-source Time Series DBMS and monitoring system
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitealasql.orgaws.amazon.com/­documentdbwww.microsoft.com/­en-us/­microsoft-365/­accessprometheus.io
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­documentdb/­resourcesdeveloper.microsoft.com/­en-us/­accessprometheus.io/­docs
DeveloperAndrey Gershun & Mathias R. WulffDrizzle project, originally started by Brian AkerMicrosoft
Initial release20142019200819922015
Current release7.2.4, September 20121902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoGNU GPLcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++C++Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedFreeBSD
Linux
OS X
Windows infoNot a real database server, but making use of DLLsLinux
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyes infowith proprietary extensionsyes infobut not compliant to any SQL standardno
APIs and other access methodsJavaScript APIproprietary protocol using JSON (MongoDB compatible)JDBCADO.NET
DAO
ODBC
OLE DB
RESTful HTTP/JSON API
Supported programming languagesJavaScriptGo
Java
JavaScript (Node.js)
PHP
Python
C
C++
Java
PHP
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnononoyes infosince Access 2010 using the ACE-engineno
Triggersyesnono infohooks for callbacks inside the server can be used.yes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
noneyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistencynone
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possibleyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic single-document operationsACIDACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes 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.yesno
User concepts infoAccess controlnoAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoa simple user-level security was built in till version Access 2003no

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More resources
AlaSQLAmazon DocumentDBDrizzleMicrosoft AccessPrometheus
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