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DBMS > Apache Impala vs. H2GIS vs. OpenQM vs. Yaacomo

System Properties Comparison Apache Impala vs. H2GIS vs. OpenQM vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonH2GIS  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAnalytic DBMS for HadoopSpatial extension of H2QpenQM is a high-performance, self-tuning, multi-value DBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSSpatial DBMSMultivalue DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websiteimpala.apache.orgwww.h2gis.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmyaacomo.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.h2gis.org/­docs/­home
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCNRSRocket Software, originally Martin PhillipsQ2WEB GmbH
Initial release2013201319932009
Current release4.1.0, June 20223.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoLGPL 3.0Open Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Android
Linux
Windows
Data schemeyesyesyes infowith some exceptionsyes
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJava.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infobased on H2yes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on H2yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infobased on H2Access rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
Apache ImpalaH2GISOpenQM infoalso called QMYaacomo
Recent citations in the news

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop
12 March 2017, Uber

Updates & Upserts in Hadoop Ecosystem with Apache Kudu
27 October 2017, KDnuggets

provided by Google News



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