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DBMS > Hive vs. Microsoft Azure Synapse Analytics vs. Quasardb vs. QuestDB

System Properties Comparison Hive vs. Microsoft Azure Synapse Analytics vs. Quasardb vs. QuestDB

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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 comparisonQuasardb  Xexclude from comparisonQuestDB  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 ServerDistributed, high-performance timeseries databaseA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.61
Rank#17  Overall
#11  Relational DBMS
Score20.66
Rank#36  Overall
#22  Relational DBMS
Score0.11
Rank#310  Overall
#28  Time Series DBMS
Score1.19
Rank#161  Overall
#12  Time Series DBMS
Websitehive.apache.orgazure.microsoft.com/­services/­synapse-analyticsquasardb.netquestdb.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­azure/­synapse-analyticsdoc.quasar.ai/­masterquestdb.io/­docs/­introduction
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftquasardbQuestDB Limited
Initial release2012201620092014
Current release3.1.2, August 20193.13.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++Java
Server operating systemsAll OS with a Java VMhostedBSD
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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 indexesyesyesyes infowith tagsno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Supported programming languagesC++
Java
PHP
Python
C#
Java
PHP
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQLnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding infoconsistent hashinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replication with selectable replication factorConfigurable consistency for N replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
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 datanoACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and rolesyesCryptographically strong user authentication and audit trail
More information provided by the system vendor
HiveMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuasardbQuestDB
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
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Relational model with native time series support Column based storage and time partitioned...
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Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
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Real-time data ingestion and istant SQL queries for time series High performance...
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Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Application metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more
Apache 2.0.
» more
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