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

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

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Access  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 PlatformWide-column store based on Apache Hadoop and on concepts of BigTableMicrosoft 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 MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value storeDocument storeWide column storeRelational DBMSDocument store
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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitecachelot.iocloud.google.com/­datastorehbase.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­torodb/­server
Technical documentationcloud.google.com/­datastore/­docshbase.apache.org/­book.htmldeveloper.microsoft.com/­en-us/­access
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoft8Kdata
Initial release20152008200819922016
Current release2.3.4, January 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialOpen Source infoApache version 2commercial infoBundled with Microsoft OfficeOpen 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++JavaC++Java
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
Unix
Windows infousing Cygwin
Windows infoNot a real database server, but making use of DLLsAll OS with a Java 7 VM
Data schemeschema-freeschema-freeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or datenoyes, details hereoptions to bring your own types, AVROyesyes 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.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like query language (GQL)noyes infobut not compliant to any SQL standard
APIs and other access methodsMemcached protocolgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
ADO.NET
DAO
ODBC
OLE DB
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++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnousing Google App Engineyes infoCoprocessors in Javayes infosince Access 2010 using the ACE-engine
TriggersnoCallbacks using the Google Apps Engineyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
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 Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsSingle row ACID (across millions of columns)ACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes 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.nonoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno infoa simple user-level security was built in till version Access 2003Access rights for users and roles

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More resources
Cachelot.ioGoogle Cloud DatastoreHBaseMicrosoft AccessToroDB
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