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DBMS > Cachelot.io vs. Firebase Realtime Database vs. MarkLogic vs. Riak KV

System Properties Comparison Cachelot.io vs. Firebase Realtime Database vs. MarkLogic vs. Riak KV

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMarkLogic  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionIn-memory caching systemCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Operational and transactional Enterprise NoSQL databaseDistributed, fault tolerant key-value store
Primary database modelKey-value storeDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score13.64
Rank#39  Overall
#6  Document stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitecachelot.iofirebase.google.com/­products/­realtime-databasewww.progress.com/­marklogic
Technical documentationfirebase.google.com/­docs/­databasewww.progress.com/­marklogic/­documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGoogle infoacquired by Google 2014MarkLogic Corp.OpenSource, formerly Basho Technologies
Initial release2015201220012009
Current release11.0, December 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoSimplified BSD Licensecommercialcommercial inforestricted free version is availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Erlang
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
OS X
Windows
Linux
OS X
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 indexesnoyesyesrestricted
SQL infoSupport of SQLnonoyes infoSQL92no
APIs and other access methodsMemcached protocolAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes infovia XQuery or JavaScriptErlang
TriggersnoCallbacks are triggered when data changesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes, with Range Indexes
User concepts infoAccess controlnoyes, based on authentication and database rulesRole-based access control at the document and subdocument levelsyes, using Riak Security

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More resources
Cachelot.ioFirebase Realtime DatabaseMarkLogicRiak KV
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