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DBMS > Amazon Redshift vs. Apache IoTDB vs. openGauss

System Properties Comparison Amazon Redshift vs. Apache IoTDB vs. openGauss

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache IoTDB  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websiteaws.amazon.com/­redshiftiotdb.apache.orggitee.com/­opengauss
opengauss.org
Technical documentationdocs.aws.amazon.com/­redshiftiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationHuawei and openGauss community
Initial release201220182019
Current release1.1.0, April 20233.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC, C++, Java
Server operating systemshostedAll OS with a Java VM (>= 1.8)Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languageANSI SQL 2011
APIs and other access methodsJDBC
ODBC
JDBC
Native API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
Python
Scala
C
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon RedshiftApache IoTDBopenGauss
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