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DBMS > Amazon DynamoDB vs. Cachelot.io vs. Google Cloud Spanner vs. Microsoft Access

System Properties Comparison Amazon DynamoDB vs. Cachelot.io vs. Google Cloud Spanner vs. Microsoft Access

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonCachelot.io  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudIn-memory caching systemA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.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.)
Primary database modelDocument store
Key-value store
Key-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websiteaws.amazon.com/­dynamodbcachelot.iocloud.google.com/­spannerwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.aws.amazon.com/­dynamodbcloud.google.com/­spanner/­docsdeveloper.microsoft.com/­en-us/­access
DeveloperAmazonGoogleMicrosoft
Initial release2012201520171992
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoSimplified BSD Licensecommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedFreeBSD
Linux
OS X
hostedWindows infoNot a real database server, but making use of DLLs
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnonoyes infoQuery statements complying to ANSI 2011yes infobut not compliant to any SQL standard
APIs and other access methodsRESTful HTTP APIMemcached protocolgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes infosince Access 2010 using the ACE-engine
Triggersyes infoby integration with AWS Lambdanonoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication with 3 replicas for regional instances.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnoACID infoStrict serializable isolationACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes 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.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess 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 2003

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More resources
Amazon DynamoDBCachelot.ioGoogle Cloud SpannerMicrosoft Access
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