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DBMS > Apache IoTDB vs. Infobright vs. Microsoft Azure SQL Database vs. OceanBase

System Properties Comparison Apache IoTDB vs. Infobright vs. Microsoft Azure SQL Database vs. OceanBase

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonInfobright  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOceanBase  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 FlinkHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendDatabase as a Service offering with high compatibility to Microsoft SQL ServerA distributed, high available RDBMS compatible with Oracle and MySQL
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Websiteiotdb.apache.orgignitetech.com/­softwarelibrary/­infobrightdbazure.microsoft.com/­en-us/­products/­azure-sql/­databaseen.oceanbase.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.microsoft.com/­en-us/­azure/­azure-sqlen.oceanbase.com/­docs/­oceanbase-database
DeveloperApache Software FoundationIgnite Technologies Inc.; formerly InfoBright Inc.MicrosoftOceanBase infopreviously Alibaba and Ant Group
Initial release2018200520102010
Current release1.1.0, April 2023V124.3.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialOpen Source infoCommercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
hostedLinux
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.nonoyesyes
Secondary indexesyesno infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLSQL-like query languageyesyesyes
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Server-side scripts infoStored proceduresyesnoTransact SQLPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonehorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationyes, with always 3 replicas availableMulti-source replication using Paxos
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache IoTDBInfobrightMicrosoft Azure SQL Database infoformerly SQL AzureOceanBase
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