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DBMS > HEAVY.AI vs. IRONdb vs. PlanetScale vs. RDF4J

System Properties Comparison HEAVY.AI vs. IRONdb vs. PlanetScale vs. RDF4J

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  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.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA 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 DBMSTime Series DBMSRelational DBMSRDF store
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score1.09
Rank#178  Overall
#82  Relational DBMS
Score0.72
Rank#222  Overall
#9  RDF stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.circonus.com/solutions/time-series-database/planetscale.comrdf4j.org
Technical documentationdocs.heavy.aidocs.circonus.com/irondb/category/getting-startedplanetscale.com/­docsrdf4j.org/­documentation
DeveloperHEAVY.AI, Inc.Circonus LLC.PlanetScaleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2016201720202004
Current release5.10, January 2022V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
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++ and CUDAC and C++GoJava
Server operating systemsLinuxLinuxDocker
Linux
macOS
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes 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
Secondary indexesnonoyesyes
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)yes infowith proprietary extensionsno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
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 languagesAll languages supporting JDBC/ODBC/Thrift
Python
.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 proceduresnoyes, in Luayes infoproprietary syntaxyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationconfigurable replication factor, datacenter awareMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at shard levelACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IRONdbPlanetScaleRDF4J infoformerly known as Sesame
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