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DBMS > Apache Druid vs. GridDB vs. Microsoft Azure SQL Database vs. OpenQM

System Properties Comparison Apache Druid vs. GridDB vs. Microsoft Azure SQL Database vs. OpenQM

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGridDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable in-memory time series database optimized for IoT and Big DataDatabase as a Service offering with high compatibility to Microsoft SQL ServerQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMSMultivalue DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websitedruid.apache.orggriddb.netazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.griddb.netdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software Foundation and contributorsToshiba CorporationMicrosoftRocket Software, originally Martin Phillips
Initial release2012201320101993
Current release29.0.1, April 20245.1, August 2022V123.4-12
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Unix
LinuxhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nonoyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingSQL92, SQL-like TQL (Toshiba Query Language)yesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnonoTransact SQLyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyes, with always 3 replicas availableyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights can be defined down to the item level
More information provided by the system vendor
Apache DruidGridDBMicrosoft Azure SQL Database infoformerly SQL AzureOpenQM infoalso called QM
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 DruidGridDBMicrosoft Azure SQL Database infoformerly SQL AzureOpenQM infoalso called QM
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