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DBMS > Apache Impala vs. GridDB vs. Hyprcubd vs. mSQL vs. PostGIS

System Properties Comparison Apache Impala vs. GridDB vs. Hyprcubd vs. mSQL vs. PostGIS

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGridDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPostGIS  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopScalable in-memory time series database optimized for IoT and Big DataServerless Time Series DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSSpatial extension of PostgreSQL
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument storeKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websiteimpala.apache.orggriddb.nethyprcubd.com (offline)hughestech.com.au/­products/­msqlpostgis.net
Technical documentationimpala.apache.org/­impala-docs.htmldocs.griddb.netpostgis.net/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaToshiba CorporationHyprcubd, Inc.Hughes Technologies
Initial release2013201319942005
Current release4.1.0, June 20225.1, August 20224.4, October 20213.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercial infofree licenses can be providedOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++GoCC
Server operating systemsLinuxLinuxhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyes infotime, int, uint, float, stringyesyes
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.nonononoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
gRPC (https)JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononouser defined functions
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnoneyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency within container, eventual consistency across containersEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnonoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databasetoken accessnoyes infobased on PostgreSQL
More information provided by the system vendor
Apache ImpalaGridDBHyprcubdmSQL infoMini SQLPostGIS
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Apache ImpalaGridDBHyprcubdmSQL infoMini SQLPostGIS
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