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DBMS > Amazon Aurora vs. Impala vs. Microsoft SQL Server vs. QuestDB

System Properties Comparison Amazon Aurora vs. Impala vs. Microsoft SQL Server vs. QuestDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonImpala  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopMicrosofts flagship relational DBMSA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument storeDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.57
Rank#44  Overall
#28  Relational DBMS
Score19.56
Rank#36  Overall
#22  Relational DBMS
Score981.95
Rank#3  Overall
#3  Relational DBMS
Score0.61
Rank#222  Overall
#15  Time Series DBMS
Websiteaws.amazon.com/­rds/­aurorawww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.microsoft.com/­en-us/­sql-serverquestdb.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.microsoft.com/­en-US/­sql/­sql-serverquestdb.io/­docs/­introduction
DeveloperAmazonClouderaMicrosoftQuestDB Limited
Initial release2015201319892014
Current release3.4.0, April 2020SQL Server 2019, November 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemshostedLinuxLinux
Windows
Linux
macOS
Windows
Data schemeyesyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBCC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes, but depending on the SQL-Server EditionConfigurable consistency for N replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID for single-table writes
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.yesnoyesyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraImpalaMicrosoft SQL ServerQuestDB
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
News

QuestDB 6.0.4 July release, Prometheus metrics support
16 July 2021

How databases handle 10 million devices in high-cardinality benchmarks
16 June 2021

How we achieved write speeds of 1.4 million rows per second
10 May 2021

QuestDB version 6.0 alpha
20 April 2021

QuestDB release January 2021
5 February 2021

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon AuroraImpalaMicrosoft SQL ServerQuestDB
DB-Engines blog posts

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