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DBMS > Apache Spark (SQL) vs. H2GIS vs. Speedb

System Properties Comparison Apache Spark (SQL) vs. H2GIS vs. Speedb

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonH2GIS  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingSpatial extension of H2An embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMSSpatial DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.39
Rank#32  Overall
#20  Relational DBMS
Score0.00
Rank#389  Overall
#7  Spatial DBMS
Score0.16
Rank#326  Overall
#47  Key-value stores
Websitespark.apache.org/­sqlwww.h2gis.orgwww.speedb.io
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.h2gis.org/­docs/­home
DeveloperApache Software FoundationCNRSSpeedb
Initial release201420132020
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoLGPL 3.0Open Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
Supported programming languagesJava
Python
R
Scala
JavaC
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoyes infobased on H2no
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infobased on H2yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoyes infobased on H2no

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More resources
Apache Spark (SQL)H2GISSpeedb
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