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DBMS > Cachelot.io vs. Google Cloud Datastore vs. Microsoft Access vs. TimescaleDB vs. ToroDB

System Properties Comparison Cachelot.io vs. Google Cloud Datastore vs. Microsoft Access vs. TimescaleDB vs. ToroDB

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTimescaleDB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionIn-memory caching systemAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMicrosoft 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 time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value storeDocument storeRelational DBMSTime Series DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score4.36
Rank#72  Overall
#12  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitecachelot.iocloud.google.com/­datastorewww.microsoft.com/­en-us/­microsoft-365/­accesswww.timescale.comgithub.com/­torodb/­server
Technical documentationcloud.google.com/­datastore/­docsdeveloper.microsoft.com/­en-us/­accessdocs.timescale.com
DeveloperGoogleMicrosoftTimescale8Kdata
Initial release20152008199220172016
Current release1902 (16.0.11328.20222), March 20192.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoSimplified BSD Licensecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0Open Source infoAGPL-V3
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 languageC++C++CJava
Server operating systemsFreeBSD
Linux
OS X
hostedWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
All OS with a Java 7 VM
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyes, details hereyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes infostring, integer, double, boolean, date, object_id
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.nonoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yes infobut not compliant to any SQL standardyes infofull PostgreSQL SQL syntax
APIs and other access methodsMemcached protocolgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnousing Google App Engineyes infosince Access 2010 using the ACE-engineuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersnoCallbacks using the Google Apps Engineyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosnoneSource-replica replication with hot standby and reads on replicas infoSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infobut no files for transaction loggingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentnoyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoAccess 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 2003fine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Cachelot.ioGoogle Cloud DatastoreMicrosoft AccessTimescaleDBToroDB
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