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DBMS > AlaSQL vs. Amazon DynamoDB vs. Blazegraph vs. GridDB vs. Microsoft Access

System Properties Comparison AlaSQL vs. Amazon DynamoDB vs. Blazegraph vs. GridDB vs. Microsoft Access

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonGridDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionJavaScript DBMS libraryHosted, scalable database service by Amazon with the data stored in Amazons cloudHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Scalable in-memory time series database optimized for IoT and Big DataMicrosoft 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.)
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Graph DBMS
RDF store
Time Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational 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
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitealasql.orgaws.amazon.com/­dynamodbblazegraph.comgriddb.netwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationgithub.com/­AlaSQL/­alasqldocs.aws.amazon.com/­dynamodbwiki.blazegraph.comdocs.griddb.netdeveloper.microsoft.com/­en-us/­access
DeveloperAndrey Gershun & Mathias R. WulffAmazonBlazegraphToshiba CorporationMicrosoft
Initial release20142012200620131992
Current release2.1.5, March 20195.1, August 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree tier for a limited amount of database operationsOpen Source infoextended commercial license availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaC++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Windows
LinuxWindows infoNot a real database server, but making use of DLLs
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes infoRDF literal typesyes infonumerical, string, blob, geometry, boolean, timestampyes
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
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSPARQL is used as query languageSQL92, SQL-like TQL (Toshiba Query Language)yes infobut not compliant to any SQL standard
APIs and other access methodsJavaScript APIRESTful HTTP APIJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJavaScript.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyesnoyes infosince Access 2010 using the ACE-engine
Triggersyesyes infoby integration with AWS Lambdanoyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on configurationImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesnoyes infoRelationships in Graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACID infoACID across one or more tables within a single AWS account and regionACIDACID at container levelACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users can be defined per databaseno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
AlaSQLAmazon DynamoDBBlazegraphGridDBMicrosoft Access
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
AlaSQLAmazon DynamoDBBlazegraphGridDBMicrosoft Access
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