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DBMS > IBM Cloudant vs. Lovefield vs. Memcached vs. RDF4J vs. Splice Machine

System Properties Comparison IBM Cloudant vs. Lovefield vs. Memcached vs. RDF4J vs. Splice Machine

Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonLovefield  Xexclude from comparisonMemcached  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBEmbeddable relational database for web apps written in pure JavaScriptIn-memory key-value store, originally intended for cachingRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeRelational DBMSKey-value storeRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#106  Overall
#20  Document stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.ibm.com/­products/­cloudantgoogle.github.io/­lovefieldwww.memcached.orgrdf4j.orgsplicemachine.com
Technical documentationcloud.ibm.com/­docs/­Cloudantgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdgithub.com/­memcached/­memcached/­wikirdf4j.org/­documentationsplicemachine.com/­how-it-works
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014GoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Splice Machine
Initial release20102014200320042014
Current release2.1.12, February 20171.6.25, March 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSD licenseOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaScriptCJavaJava
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternnonoyes
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocolJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
JavaScript.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptnonoyesyes infoJava
TriggersyesUsing read-only observersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenone infoRepcached, a Memcached patch, provides this functionallitynoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACIDnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databasenoyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users can be defined per databasenoyes infousing SASL (Simple Authentication and Security Layer) protocolnoAccess rights for users, groups and roles according to SQL-standard

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More resources
IBM CloudantLovefieldMemcachedRDF4J infoformerly known as SesameSplice Machine
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