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DBMS > Cachelot.io vs. CouchDB vs. Google Cloud Datastore vs. Hazelcast

System Properties Comparison Cachelot.io vs. CouchDB vs. Google Cloud Datastore vs. Hazelcast

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionIn-memory caching systemA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA widely adopted in-memory data grid
Primary database modelKey-value storeDocument storeDocument storeKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score8.30
Rank#47  Overall
#7  Document stores
Score4.36
Rank#72  Overall
#12  Document stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitecachelot.iocouchdb.apache.orgcloud.google.com/­datastorehazelcast.com
Technical documentationdocs.couchdb.org/­en/­stablecloud.google.com/­datastore/­docshazelcast.org/­imdg/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleHazelcast
Initial release2015200520082008
Current release3.3.3, December 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoApache version 2commercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangJava
Server operating systemsFreeBSD
Linux
OS X
Android
BSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java VM
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenonoyes, details hereyes
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.nononoyes infothe object must implement a serialization strategy
Secondary indexesnoyes infovia viewsyesyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)SQL-like query language
APIs and other access methodsMemcached protocolRESTful HTTP/JSON APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoView functions in JavaScriptusing Google App Engineyes infoEvent Listeners, Executor Services
TriggersnoyesCallbacks using the Google Apps Engineyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication using Paxosyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate 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 Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control

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More resources
Cachelot.ioCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud DatastoreHazelcast
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