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DBMS > Amazon Redshift vs. Apache Pinot vs. GreptimeDB vs. Microsoft Azure Table Storage vs. SAP HANA

System Properties Comparison Amazon Redshift vs. Apache Pinot vs. GreptimeDB vs. Microsoft Azure Table Storage vs. SAP HANA

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Pinot  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA Wide Column Store for rapid development using massive semi-structured datasetsIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSRelational DBMSTime Series DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websiteaws.amazon.com/­redshiftpinot.apache.orggreptime.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.sap.com/­products/­hana.html
Technical documentationdocs.aws.amazon.com/­redshiftdocs.pinot.apache.orgdocs.greptime.comhelp.sap.com/­hana
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation and contributorsGreptime Inc.MicrosoftSAP
Initial release20122015202220122010
Current release1.0.0, September 20232.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaRust
Server operating systemshostedAll OS with a Java JDK11 or higherAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedAppliance or cloud-service
Data schemeyesyesschema-free, schema definition possibleschema-freeyes
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.nononono
Secondary indexesrestrictedyesnoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languageyesnoyes
APIs and other access methodsJDBC
ODBC
JDBCgRPC
HTTP API
JDBC
RESTful HTTP APIJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
C++
Erlang
Go
Java
JavaScript
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PythonPythonnoSQLScript, R
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding infoImplicit feature of the cloud serviceyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
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 integrityyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSimple rights management via user accountsAccess rights based on private key authentication or shared access signaturesyes
More information provided by the system vendor
Amazon RedshiftApache PinotGreptimeDBMicrosoft Azure Table StorageSAP HANA
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» 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 RedshiftApache PinotGreptimeDBMicrosoft Azure Table StorageSAP HANA
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