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DBMS > Amazon Aurora vs. Apache Pinot vs. Microsoft SQL Server vs. QuestDB vs. TimescaleDB

System Properties Comparison Amazon Aurora vs. Apache Pinot vs. Microsoft SQL Server vs. QuestDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Pinot  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonQuestDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyMicrosofts flagship relational DBMSA high performance open source SQL database for time series dataA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.61
Rank#45  Overall
#29  Relational DBMS
Score0.60
Rank#249  Overall
#116  Relational DBMS
Score924.35
Rank#3  Overall
#3  Relational DBMS
Score1.74
Rank#147  Overall
#13  Time Series DBMS
Score4.76
Rank#82  Overall
#5  Time Series DBMS
Websiteaws.amazon.com/­rds/­aurorapinot.apache.orgwww.microsoft.com/­en-us/­sql-serverquestdb.iowww.timescale.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.pinot.apache.orgdocs.microsoft.com/­en-US/­sql/­sql-serverquestdb.io/­docs/­introductiondocs.timescale.com
DeveloperAmazonApache Software Foundation and contributorsMicrosoftQuestDB LimitedTimescale
Initial release20152015198920142017
Current release0.11.0, September 2022SQL Server 2019, November 20192.6.0, February 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC
Server operating systemshostedAll OS with a Java JDK11 or higherLinux
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yesyesnoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like query languageyesSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
Python
C#
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning (by timestamps)yes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, but depending on the SQL-Server EditionConfigurable consistency for N replicasSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesACID
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.yesyesyes infothrough memory mapped filesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraApache PinotMicrosoft SQL ServerQuestDBTimescaleDB
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Time-series Analytics TimescaleDB boosts the performance of PostgreSQL for time-series...
» more
Key customersTransferWise, Maersk, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco, Nutanix, Warner...
» more
Market metricsWith over 12,700 GitHub stars and growing, 1,000,000 active databases, and an active...
» more
Licensing and pricing modelsApache 2.0.
» more
TimescaleDB is available as a self-hosted product under two licenses, the Timescale...
» more
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SQL Extensions for Time Series Data in QuestDB - Part II
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QuestDB 6.5.5 Release
14 November 2022

QuestDB at Devoxx Belgium 2022
8 November 2022

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 AuroraApache PinotMicrosoft SQL ServerQuestDBTimescaleDB
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