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DBMS > Apache Drill vs. HBase vs. RDFox vs. Riak KV

System Properties Comparison Apache Drill vs. HBase vs. RDFox vs. Riak KV

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonHBase  Xexclude from comparisonRDFox  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageWide-column store based on Apache Hadoop and on concepts of BigTableHigh performance knowledge graph and semantic reasoning engineDistributed, fault tolerant key-value store
Primary database modelDocument store
Relational DBMS
Wide column storeGraph DBMS
RDF store
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitedrill.apache.orghbase.apache.orgwww.oxfordsemantic.tech
Technical documentationdrill.apache.org/­docshbase.apache.org/­book.htmldocs.oxfordsemantic.techwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetOxford Semantic TechnologiesOpenSource, formerly Basho Technologies
Initial release2012200820172009
Current release1.20.3, January 20232.3.4, January 20216.0, Septermber 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2commercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Erlang
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
macOS
Windows
Linux
OS X
Data schemeschema-freeschema-free, schema definition possibleyes infoRDF schemasschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesno
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.nonono
Secondary indexesnonorestricted
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
RESTful HTTP API
SPARQL 1.1
HTTP API
Native Erlang Interface
Supported programming languagesC++C
C#
C++
Groovy
Java
PHP
Python
Scala
C
Java
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 proceduresuser defined functionsyes infoCoprocessors in JavaErlang
Triggersnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
replication via a shared file systemselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes
User concepts infoAccess controlDepending on the underlying data sourceAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRoles, resources, and access typesyes, using Riak Security

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More resources
Apache DrillHBaseRDFoxRiak KV
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