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DBMS > Databricks vs. H2GIS vs. HEAVY.AI vs. SpatiaLite

System Properties Comparison Databricks vs. H2GIS vs. HEAVY.AI vs. SpatiaLite

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonH2GIS  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Spatial extension of H2A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareSpatial extension of SQLite
Primary database modelDocument store
Relational DBMS
Spatial DBMSRelational DBMSSpatial DBMS
Secondary database modelsRelational DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitewww.databricks.comwww.h2gis.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.databricks.comwww.h2gis.org/­docs/­homedocs.heavy.aiwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperDatabricksCNRSHEAVY.AI, Inc.Alessandro Furieri
Initial release2013201320162008
Current release5.10, January 20225.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDAC++
Server operating systemshostedLinuxserver-less
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLyesyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Supported programming languagesPython
R
Scala
JavaAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infobased on H2nono
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on H2Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyesyesyes
User concepts infoAccess controlyes infobased on H2fine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabricksH2GISHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SpatiaLite
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksH2GISHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SpatiaLite
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