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DBMS > EXASOL vs. Ingres vs. IRONdb vs. PlanetScale vs. RDF4J

System Properties Comparison EXASOL vs. Ingres vs. IRONdb vs. PlanetScale vs. RDF4J

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonIngres  Xexclude from comparisonIRONdb  Xexclude from comparisonPlanetScale  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.Well established RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityScalable, distributed, serverless MySQL database platform built on top of VitessRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSRDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score4.67
Rank#77  Overall
#42  Relational DBMS
Score1.75
Rank#146  Overall
#67  Relational DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Websitewww.exasol.comwww.actian.com/­databases/­ingreswww.circonus.com/solutions/time-series-database/planetscale.comrdf4j.org
Technical documentationwww.exasol.com/­resourcesdocs.actian.com/­ingresdocs.circonus.com/irondb/category/getting-startedplanetscale.com/­docsrdf4j.org/­documentation
DeveloperExasolActian CorporationCirconus LLC.PlanetScaleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20001974 infooriginally developed at University Berkely in early 1970s201720202004
Current release11.2, May 2022V0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++GoJava
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxDocker
Linux
macOS
Linux
OS X
Unix
Windows
Data schemeyesyesschema-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.nono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyesSQL-like query language (Circonus Analytics Query Language: CAQL)yes infowith proprietary extensionsno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyesyes, in Luayes infoproprietary syntaxyes
Triggersyesyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatorconfigurable replication factor, datacenter awareMulti-source replication
Source-replica replication
none
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 nodesEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID at shard levelACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes infotable locks or row locks depending on storage engineyes
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-standardfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
EXASOLIngresIRONdbPlanetScaleRDF4J infoformerly known as Sesame
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