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DBMS > HEAVY.AI vs. NSDb vs. Percona Server for MySQL vs. RDF4J vs. Sadas Engine

System Properties Comparison HEAVY.AI vs. NSDb vs. Percona Server for MySQL vs. RDF4J vs. Sadas Engine

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonNSDb  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRDF storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score2.10
Rank#119  Overall
#57  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
nsdb.iowww.percona.com/­software/­mysql-database/­percona-serverrdf4j.orgwww.sadasengine.com
Technical documentationdocs.heavy.ainsdb.io/­Architecturewww.percona.com/­downloads/­Percona-Server-LATESTrdf4j.org/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperHEAVY.AI, Inc.PerconaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SADAS s.r.l.
Initial release20162017200820042006
Current release5.10, January 20228.0.36-28, 20248.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0Open Source infoGPL version 2Open Source infoEclipse Distribution License (EDL), v1.0.commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJava, ScalaC and C++JavaC++
Server operating systemsLinuxLinux
macOS
LinuxLinux
OS X
Unix
Windows
AIX
Linux
Windows
Data schemeyesyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyesyes
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.nonoyesno
Secondary indexesnoall fields are automatically indexedyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyesnoyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Java
Scala
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyesyesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
XtraDB Cluster
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes 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.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesnoAccess rights for users, groups and roles according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022NSDbPercona Server for MySQLRDF4J infoformerly known as SesameSadas Engine
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