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DBMS > HBase vs. IBM Cloudant vs. IRONdb vs. Pinecone vs. RDF4J

System Properties Comparison HBase vs. IBM Cloudant vs. IRONdb vs. Pinecone vs. RDF4J

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIRONdb  Xexclude from comparisonPinecone  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableDatabase as a Service offering based on Apache CouchDBA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA managed, cloud-native vector databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelWide column storeDocument storeTime Series DBMSVector DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.68
Rank#106  Overall
#20  Document stores
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitehbase.apache.orgwww.ibm.com/­products/­cloudantwww.circonus.com/solutions/time-series-database/www.pinecone.iordf4j.org
Technical documentationhbase.apache.org/­book.htmlcloud.ibm.com/­docs/­Cloudantdocs.circonus.com/irondb/category/getting-starteddocs.pinecone.io/­docs/­overviewrdf4j.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Circonus LLC.Pinecone Systems, IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20082010201720192004
Current release2.3.4, January 2021V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC and C++Java
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedLinuxhostedLinux
OS X
Unix
Windows
Data schemeschema-free, schema definition possibleschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROnoyes infotext, numeric, histogramsString, Number, Booleanyes
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 SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
RESTful HTTP/JSON APIHTTP APIRESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
PythonJava
PHP
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaView functions (Map-Reduce) in JavaScriptyes, in Luayes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
configurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)no infoatomic operations within a document possiblenoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users can be defined per databasenono

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More resources
HBaseIBM CloudantIRONdbPineconeRDF4J infoformerly known as Sesame
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