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DBMS > H2GIS vs. Impala vs. Microsoft Azure Table Storage

System Properties Comparison H2GIS vs. Impala vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonImpala  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionSpatial extension of H2Analytic DBMS for HadoopA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelSpatial DBMSRelational DBMSWide column store
Secondary database modelsRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#341  Overall
#4  Spatial DBMS
Score17.79
Rank#40  Overall
#25  Relational DBMS
Score5.76
Rank#73  Overall
#5  Wide column stores
Websitewww.h2gis.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwww.h2gis.org/­docs/­homedocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperCNRSClouderaMicrosoft
Initial release201320132012
Current release4.0.0, July 2021
License infoCommercial or Open SourceOpen Source infoLGPL 3.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinuxhosted
Data schemeyesyesschema-free
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaAll languages supporting JDBC/ODBC.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infobased on H2yes infouser defined functions and integration of map-reduceno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2selectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic locking
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.yesnono
User concepts infoAccess controlyes infobased on H2Access rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights based on private key authentication or shared access signatures

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More resources
H2GISImpalaMicrosoft Azure Table Storage
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