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DBMS > EXASOL vs. HarperDB vs. IRONdb vs. RDF4J vs. UniData,UniVerse

System Properties Comparison EXASOL vs. HarperDB vs. IRONdb vs. RDF4J vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHarperDB  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonUniData,UniVerse  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A 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.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSDocument storeTime Series DBMSRDF storeMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#119  Overall
#57  Relational DBMS
Score0.55
Rank#255  Overall
#39  Document stores
Score0.72
Rank#234  Overall
#9  RDF stores
Score3.93
Rank#89  Overall
#2  Multivalue DBMS
Websitewww.exasol.comwww.harperdb.iowww.circonus.com/solutions/time-series-database/rdf4j.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.exasol.com/­resourcesdocs.harperdb.io/­docsdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperExasolHarperDBCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Rocket Software
Initial release20002017201720041985
Current release3.1, August 2021V0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC and C++JavaC
Server operating systemsLinux
OS X
LinuxLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesdynamic schemaschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes infotext, numeric, histogramsyesoptional
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 indexesyesyesnoyesyes
SQL infoSupport of SQLyesSQL-like data manipulation statementsSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesJava
Lua
Python
R
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1yes, in Luayesyes
Triggersyesnonoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterAutomatic, metric affinity per nodenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedconfigurable replication factor, datacenter awarenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID infoIsolation support depends on the API usedACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users and rolesnonoAccess rights according to SQL-standard and operating system based

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More resources
EXASOLHarperDBIRONdbRDF4J infoformerly known as SesameUniData,UniVerse
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