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DBMS > Apache IoTDB vs. IBM Db2 warehouse vs. Microsoft Azure Synapse Analytics vs. Sequoiadb

System Properties Comparison Apache IoTDB vs. IBM Db2 warehouse vs. Microsoft Azure Synapse Analytics vs. Sequoiadb

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkCloud-based data warehousing serviceElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerNewSQL database with distributed OLTP and SQL
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score1.34
Rank#166  Overall
#76  Relational DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Websiteiotdb.apache.orgwww.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­services/­synapse-analyticswww.sequoiadb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.microsoft.com/­azure/­synapse-analyticswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software FoundationIBMMicrosoftSequoiadb Ltd.
Initial release2018201420162013
Current release1.1.0, April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedhostedLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regex
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.nono infoImport/export of XML data possiblenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyesSQL-like query language
APIs and other access methodsJDBC
Native API
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
Java
PHP
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesPL/SQL, SQL PLTransact SQLJavaScript
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDDocument is locked during a transaction
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.yesyesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyessimple password-based access control

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More resources
Apache IoTDBIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSequoiadb
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