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

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

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonImpala  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopMicrosofts flagship relational DBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
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
Score3.14
Rank#93  Overall
#5  Time Series DBMS
Websiteaws.amazon.com/­rds/­aurorawww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.microsoft.com/­en-us/­sql-serverwww.timescale.com
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-serverdocs.timescale.com
DeveloperAmazonClouderaMicrosoftTimescale
Initial release2015201319892017
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++C
Server operating systemshostedLinuxLinux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, 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.yesnoyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
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
All languages supporting JDBC/ODBCC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingtables can be distributed across several files (horizontal partitioning); sharding through federationyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes, but depending on the SQL-Server EditionSource-replica replication with hot standby and reads on replicas info
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 integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.yesnoyesno
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-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraImpalaMicrosoft SQL ServerTimescaleDB
Specific characteristicsTimescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosDevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersTransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsWith over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsTimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more

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More resources
Amazon AuroraImpalaMicrosoft SQL ServerTimescaleDB
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