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DBMS > Apache IoTDB vs. openGauss vs. RavenDB vs. Yanza

System Properties Comparison Apache IoTDB vs. openGauss vs. RavenDB vs. Yanza

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonopenGauss  Xexclude from comparisonRavenDB  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 FlinkAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSRelational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Websiteiotdb.apache.orggitee.com/­opengauss
opengauss.org
ravendb.netyanza.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
ravendb.net/­docs
DeveloperApache Software FoundationHuawei and openGauss communityHibernating RhinosYanza
Initial release2018201920102015
Current release1.1.0, April 20233.0, March 20225.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoAGPL version 3, commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono 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 languageJavaC, C++, JavaC#
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
macOS
Raspberry Pi
Windows
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languageANSI SQL 2011SQL-like query language (RQL)no
APIs and other access methodsJDBC
Native API
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Java
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesyesyesno
Triggersyesyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning (by range, list and hash)Shardingnone
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 replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableno
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.yesno
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardAuthorization levels configured per client per databaseno

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More resources
Apache IoTDBopenGaussRavenDBYanza
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