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DBMS > Amazon Redshift vs. Apache IoTDB vs. Tigris

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

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache IoTDB  Xexclude from comparisonTigris  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 FlinkA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSTime Series DBMSDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.07
Rank#38  Overall
#23  Relational DBMS
Score1.24
Rank#167  Overall
#14  Time Series DBMS
Score0.04
Rank#360  Overall
#49  Document stores
#53  Key-value stores
#23  Search engines
#38  Time Series DBMS
Websiteaws.amazon.com/­redshiftiotdb.apache.orgwww.tigrisdata.com
Technical documentationdocs.aws.amazon.com/­redshiftiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.tigrisdata.com/­docs
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationTigris Data, Inc.
Initial release201220182022
Current release1.1.0, April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemshostedAll OS with a Java VM (>= 1.8)Linux
macOS
Windows
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 languageno
APIs and other access methodsJDBC
ODBC
JDBC
Native API
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
Python
Scala
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Spark
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 systemno
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, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users and roles

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Amazon RedshiftApache IoTDBTigris
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