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DBMS > Apache IoTDB vs. H2 vs. Microsoft Azure Synapse Analytics vs. Warp 10 vs. Yanza

System Properties Comparison Apache IoTDB vs. H2 vs. Microsoft Azure Synapse Analytics vs. Warp 10 vs. Yanza

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWarp 10  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 FlinkFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteiotdb.apache.orgwww.h2database.comazure.microsoft.com/­services/­synapse-analyticswww.warp10.ioyanza.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.h2database.com/­html/­main.htmldocs.microsoft.com/­azure/­synapse-analyticswww.warp10.io/­content/­02_Getting_started
DeveloperApache Software FoundationThomas MuellerMicrosoftSenXYanza
Initial release20182005201620152015
Current release1.1.0, April 20232.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoApache License 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++Java
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMhostedLinux
OS X
Windows
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonononono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLSQL-like query languageyesyesnono
APIs and other access methodsJDBC
Native API
JDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP API
Jupyter
WebSocket
HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaC#
Java
PHP
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined FunctionsTransact SQLyes infoWarpScriptno
Triggersyesyesnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding, horizontal partitioningSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyesMandatory use of cryptographic tokens, containing fine-grained authorizationsno

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More resources
Apache IoTDBH2Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWarp 10Yanza
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