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

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

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonEXASOL  Xexclude from comparisonHeroic  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)High-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 simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument storeRelational DBMSTime Series DBMSTime Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#255  Overall
#35  Document stores
Score2.89
Rank#89  Overall
#44  Relational DBMS
Score0.27
Rank#248  Overall
#16  Time Series DBMS
Score0.06
Rank#305  Overall
#26  Time Series DBMS
Score0.39
Rank#223  Overall
#11  RDF stores
Websiteejdb.orgwww.exasol.com/­en/­productsspotify.github.io/­heroic/­#!/­indexwww.irondb.iordf4j.org
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.exasol.com/­en/­community/­resourcesspotify.github.io/­heroic/­#!/­docs/­overviewwww.irondb.io/­docsdocs.rdf4j.org
DeveloperSoftmotionsExasolSpotifyCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20122000201420172004
Current releaseV0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache 2.0commercialOpen 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 languageCJavaC and C++Java
Server operating systemsserver-lessLinuxLinux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyes infotext, numeric, histogramsyes
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 indexesnoyesyes infovia Elasticsearchnoyes
SQL infoSupport of SQLnoyesnoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsin-process shared library.Net
JDBC
ODBC
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
Lua
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnoyes, in Luayes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
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.yesnono
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardnono
More information provided by the system vendor
EJDBEXASOLHeroicIRONdbRDF4J infoformerly known as Sesame
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more

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EJDBEXASOLHeroicIRONdbRDF4J infoformerly known as Sesame
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