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DBMS > Apache Impala vs. H2GIS vs. Rockset

System Properties Comparison Apache Impala vs. H2GIS vs. Rockset

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonH2GIS  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopSpatial extension of H2A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSSpatial DBMSDocument store
Secondary database modelsDocument storeRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.05
Rank#372  Overall
#7  Spatial DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Websiteimpala.apache.orgwww.h2gis.orgrockset.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.h2gis.org/­docs/­homedocs.rockset.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCNRSRockset
Initial release201320132019
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoLGPL 3.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsLinuxhosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyesRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBCJavaGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infobased on H2no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on H2yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infobased on H2Access rights for users and organizations can be defined via Rockset console

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More resources
Apache ImpalaH2GISRockset
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