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DBMS > Apache Drill vs. HEAVY.AI vs. OrigoDB vs. SpatiaLite

System Properties Comparison Apache Drill vs. HEAVY.AI vs. OrigoDB vs. SpatiaLite

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fully ACID in-memory object graph databaseSpatial extension of SQLite
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS
Spatial DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Websitedrill.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
origodb.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdrill.apache.org/­docsdocs.heavy.aiorigodb.com/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software FoundationHEAVY.AI, Inc.Robert Friberg et alAlessandro Furieri
Initial release201220162009 infounder the name LiveDB2008
Current release1.20.3, January 20235.10, January 20225.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; enterprise edition availableOpen SourceOpen 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#C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
server-less
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesnonoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
.NET Client API
HTTP API
LINQ
Supported programming languagesC++All languages supporting JDBC/ODBC/Thrift
Python
.Net
Server-side scripts infoStored proceduresuser defined functionsnoyesno
Triggersnonoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinhorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyesyes
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardRole based authorizationno

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

Spatial database management systems
6 April 2021, Matthias Gelbmann

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