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DBMS > Apache HBase vs. Apache IoTDB vs. openGemini

System Properties Comparison Apache HBase vs. Apache IoTDB vs. openGemini

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Editorial information provided by DB-Engines
NameApache HBase  Xexclude from comparisonApache IoTDB  Xexclude from comparisonopenGemini  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalability
Primary database modelWide column storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.48
Rank#26  Overall
#2  Wide column stores
Score1.41
Rank#149  Overall
#14  Time Series DBMS
Score0.00
Rank#381  Overall
#40  Time Series DBMS
Websitehbase.apache.orgiotdb.apache.orgwww.opengemini.org
github.com/­openGemini
Technical documentationhbase.apache.org/­book.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.opengemini.org/­guide
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationHuawei and openGemini community
Initial release200820182022
Current release2.3.4, January 20211.1.0, April 20231.1, July 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGo
Server operating systemsLinux
Unix
Windows infousing Cygwin
All OS with a Java VM (>= 1.8)Linux
Windows
Data schemeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesInteger, Float, Boolean, String
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 indexesnoyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
Native API
HTTP REST
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayesno
Triggersyesyesno
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 nodesMulti-source replication
Source-replica replication
selectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Strong Consistency with Raft
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyesAdministrators and common users accounts

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More resources
Apache HBaseApache IoTDBopenGemini
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