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DBMS > Apache Impala vs. Dragonfly vs. IBM Cloudant vs. RDFox

System Properties Comparison Apache Impala vs. Dragonfly vs. IBM Cloudant vs. RDFox

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDragonfly  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceDatabase as a Service offering based on Apache CouchDBHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSKey-value storeDocument storeGraph DBMS
RDF store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websiteimpala.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.ibm.com/­products/­cloudantwww.oxfordsemantic.tech
Technical documentationimpala.apache.org/­impala-docs.htmlwww.dragonflydb.io/­docscloud.ibm.com/­docs/­Cloudantdocs.oxfordsemantic.tech
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDragonflyDB team and community contributorsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Oxford Semantic Technologies
Initial release2013202320102017
Current release4.1.0, June 20221.0, March 20236.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSL 1.1commercialcommercial
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++C++ErlangC++
Server operating systemsLinuxLinuxhostedLinux
macOS
Windows
Data schemeyesscheme-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysnoyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP/JSON APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceLuaView functions (Map-Reduce) in JavaScript
Triggersnopublish/subscribe channels provide some trigger functionalityyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
replication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scriptsno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes infoOptimistic locking
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPassword-based authenticationAccess rights for users can be defined per databaseRoles, resources, and access types

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More resources
Apache ImpalaDragonflyIBM CloudantRDFox
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