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DBMS > Hive vs. Microsoft Azure Synapse Analytics vs. OpenQM vs. Prometheus

System Properties Comparison Hive vs. Microsoft Azure Synapse Analytics vs. OpenQM vs. Prometheus

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPrometheus  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerQpenQM is a high-performance, self-tuning, multi-value DBMSOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.33
Rank#286  Overall
#10  Multivalue DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Websitehive.apache.orgazure.microsoft.com/­services/­synapse-analyticswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmprometheus.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­azure/­synapse-analyticsprometheus.io/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftRocket Software, originally Martin Phillips
Initial release2012201619932015
Current release3.1.3, April 20223.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Go
Server operating systemsAll OS with a Java VMhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Data schemeyesyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyesNumeric data only
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.noyesno infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnono
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
C#
Java
PHP
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQLyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesyes infoby Federation
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 Consistencynone
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.no
User concepts infoAccess controlAccess rights for users, groups and rolesyesAccess rights can be defined down to the item levelno

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More resources
HiveMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenQM infoalso called QMPrometheus
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