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DBMS > Amazon Redshift vs. OpenMLDB vs. Quasardb vs. SAP HANA vs. TimescaleDB

System Properties Comparison Amazon Redshift vs. OpenMLDB vs. Quasardb vs. SAP HANA vs. TimescaleDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonOpenMLDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSAP HANA  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAn open-source machine learning database that provides a feature platform for training and inferenceDistributed, high-performance timeseries databaseIn-memory, column based data store. Available as appliance or cloud serviceA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteaws.amazon.com/­redshiftopenmldb.aiquasar.aiwww.sap.com/­products/­hana.htmlwww.timescale.com
Technical documentationdocs.aws.amazon.com/­redshiftopenmldb.ai/­docs/­zh/­maindoc.quasar.ai/­masterhelp.sap.com/­hanadocs.timescale.com
DeveloperAmazon (based on PostgreSQL)4 Paradigm Inc.quasardbSAPTimescale
Initial release20122020200920102017
Current release2024-2 February 20243.14.1, January 20242.0 SPS07 (April 4, 2023), April 20232.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, Java, ScalaC++C
Server operating systemshostedLinuxBSD
Linux
OS X
Windows
Appliance or cloud-serviceLinux
OS X
Windows
Data schemeyesFixed schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesnumerics, 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.nonononoyes
Secondary indexesrestrictedyesyes infowith tagsyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesSQL-like query languageyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
JDBC
SQLAlchemy
HTTP APIJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCC++
Go
Java
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin PythonnonoSQLScript, Ruser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoconsistent hashingyesyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication with selectable replication factoryesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient modeyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyesfine grained access rights according to SQL-standard

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More resources
Amazon RedshiftOpenMLDBQuasardbSAP HANATimescaleDB
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