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DBMS > Apache IoTDB vs. EsgynDB vs. Microsoft Azure SQL Database vs. TerminusDB

System Properties Comparison Apache IoTDB vs. EsgynDB vs. Microsoft Azure SQL Database vs. TerminusDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 FlinkEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteiotdb.apache.orgwww.esgyn.cnazure.microsoft.com/­en-us/­products/­azure-sql/­databaseterminusdb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.microsoft.com/­en-us/­azure/­azure-sqlterminusdb.github.io/­terminusdb/­#
DeveloperApache Software FoundationEsgynMicrosoftDataChemist Ltd.
Initial release2018201520102018
Current release1.1.0, April 2023V1211.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaC++Prolog, Rust
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxhostedLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyesSQL-like query language (WOQL)
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresyesJava Stored ProceduresTransact SQLyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication between multi datacentersyes, with always 3 replicas availableJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole-based access control

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More resources
Apache IoTDBEsgynDBMicrosoft Azure SQL Database infoformerly SQL AzureTerminusDB infoformer name was DataChemist
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