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DBMS > Amazon Aurora vs. DuckDB vs. Netezza vs. PieCloudDB vs. Sadas Engine

System Properties Comparison Amazon Aurora vs. DuckDB vs. Netezza vs. PieCloudDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDuckDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPieCloudDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn embeddable, in-process, column-oriented SQL OLAP RDBMSData warehouse and analytics appliance part of IBM PureSystemsA cloud-native analytic database platform with new technologoy for elastic MPPSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.25
Rank#304  Overall
#138  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraduckdb.orgwww.ibm.com/­products/­netezzawww.openpie.comwww.sadasengine.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlduckdb.org/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAmazonIBMOpenPieSADAS s.r.l.
Initial release2015201820002006
Current release0.10, February 20242.1, January 20238.0
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedserver-lessLinux infoincluded in appliancehostedAIX
Linux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesyesyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
PL/SQL
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesnoyesuser defined functionsno
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization conceptUser Roles and pluggable authentication with full SQL StandardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Amazon AuroraDuckDBNetezza infoAlso called PureData System for Analytics by IBMPieCloudDBSadas Engine
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon AuroraDuckDBNetezza infoAlso called PureData System for Analytics by IBMPieCloudDBSadas Engine
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