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DBMS > H2GIS vs. Rockset vs. Spark SQL

System Properties Comparison H2GIS vs. Rockset vs. Spark SQL

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Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionSpatial extension of H2A scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSpatial DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#328  Overall
#4  Spatial DBMS
Score0.58
Rank#228  Overall
#36  Document stores
Score22.97
Rank#34  Overall
#20  Relational DBMS
Websitewww.h2gis.orgrockset.comspark.apache.org/­sql
Technical documentationwww.h2gis.org/­docs/­homedocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCNRSRocksetApache Software Foundation
Initial release201320192014
Current release3.2.0, October 2021
License infoCommercial or Open SourceOpen Source infoLGPL 3.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Scala
Server operating systemshostedLinux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesdynamic typingyes
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.nono infoingestion from XML files supportedno
Secondary indexesyesall fields are automatically indexedno
SQL infoSupport of SQLyesRead-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTJDBC
ODBC
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infobased on H2nono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesno
User concepts infoAccess controlyes infobased on H2Access rights for users and organizations can be defined via Rockset consoleno

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3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
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More resources
H2GISRocksetSpark SQL
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