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DBMS > AlaSQL vs. AllegroGraph vs. Google Cloud Bigtable vs. Microsoft Access vs. SiriDB

System Properties Comparison AlaSQL vs. AllegroGraph vs. Google Cloud Bigtable vs. Microsoft Access vs. SiriDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAllegroGraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryHigh performance, persistent RDF store with additional support for Graph DBMSGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.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
Primary database modelDocument store
Relational DBMS
Document store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value store
Wide column store
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#264  Overall
#42  Document stores
#122  Relational DBMS
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitealasql.orgallegrograph.comcloud.google.com/­bigtablewww.microsoft.com/­en-us/­microsoft-365/­accesssiridb.com
Technical documentationgithub.com/­AlaSQL/­alasqlfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcloud.google.com/­bigtable/­docsdeveloper.microsoft.com/­en-us/­accessdocs.siridb.com
DeveloperAndrey Gershun & Mathias R. WulffFranz Inc.GoogleMicrosoftCesbit
Initial release20142004201519922017
Current release8.0, December 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infoLimited community edition freecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++C
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
hostedWindows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeyes infoRDF schemasschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes infoNumeric data
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 infobulk load of XML files possiblenono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SPARQL is used as query languagenoyes infobut not compliant to any SQL standardno
APIs and other access methodsJavaScript APIRESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languagesJavaScriptC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infoJavaScript or Common Lispnoyes infosince Access 2010 using the ACE-engineno
Triggersyesyesnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnonewith FederationShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zonesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDAtomic single-row operationsACID 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.yesnonoyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003simple rights management via user accounts
More information provided by the system vendor
AlaSQLAllegroGraphGoogle Cloud BigtableMicrosoft AccessSiriDB
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AlaSQLAllegroGraphGoogle Cloud BigtableMicrosoft AccessSiriDB
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