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DBMS > EXASOL vs. Heroic vs. IRONdb vs. Kdb vs. RDF4J

System Properties Comparison EXASOL vs. Heroic vs. IRONdb vs. Kdb vs. RDF4J

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHeroic  Xexclude from comparisonIRONdb  Xexclude from comparisonKdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityHigh performance Time Series DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Vector DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.exasol.comgithub.com/­spotify/­heroicwww.circonus.com/solutions/time-series-database/kx.comrdf4j.org
Technical documentationwww.exasol.com/­resourcesspotify.github.io/­heroicdocs.circonus.com/irondb/category/getting-startedcode.kx.comrdf4j.org/­documentation
DeveloperExasolSpotifyCirconus LLC.Kx Systems, a division of First Derivatives plcSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2000201420172000 infokdb was released 2000, kdb+ in 20032004
Current releaseV0.10.20, January 20183.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial infofree 32-bit versionOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++qJava
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyesyes
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.nononoyes
Secondary indexesyesyes infovia Elasticsearchnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyesnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language (q)no
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Lua
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes, in Luauser defined functionsyes
Triggersyesnonoyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter awareSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnorights management via user accountsno
More information provided by the system vendor
EXASOLHeroicIRONdbKdbRDF4J infoformerly known as Sesame
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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EXASOLHeroicIRONdbKdbRDF4J infoformerly known as Sesame
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