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DBMS > HEAVY.AI vs. Linter vs. Sadas Engine vs. SpatiaLite

System Properties Comparison HEAVY.AI vs. Linter vs. Sadas Engine vs. SpatiaLite

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLinter  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareRDBMS for high security requirementsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpatial extension of SQLite
Primary database modelRelational DBMSRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsSpatial DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
linter.ruwww.sadasengine.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.heavy.aiwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperHEAVY.AI, Inc.relex.ruSADAS s.r.l.Alessandro Furieri
Initial release2016199020062008
Current release5.10, January 20228.05.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial infofree trial version availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC and C++C++C++
Server operating systemsLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
AIX
Linux
Windows
server-less
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyesyesyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLnono
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LinterSadas EngineSpatiaLite
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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