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DBMS > Apache IoTDB vs. OpenTSDB vs. OushuDB vs. RavenDB vs. Transbase

System Properties Comparison Apache IoTDB vs. OpenTSDB vs. OushuDB vs. RavenDB vs. Transbase

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonOushuDB  Xexclude from comparisonRavenDB  Xexclude from comparisonTransbase  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 FlinkScalable Time Series DBMS based on HBaseA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websiteiotdb.apache.orgopentsdb.netwww.oushu.com/­product/­oushuDBravendb.netwww.transaction.de/­en/­products/­transbase.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlopentsdb.net/­docs/­build/­html/­index.htmlwww.oushu.com/­documentationravendb.net/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software Foundationcurrently maintained by Yahoo and other contributorsOushuHibernating RhinosTransaction Software GmbH
Initial release2018201120101987
Current release1.1.0, April 20234.0.1, August 20205.4, July 2022Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoLGPLcommercialOpen Source infoAGPL version 3, commercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#C and C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
LinuxLinux
macOS
Raspberry Pi
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsyesnoyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like query languagenoFull-featured ANSI SQL supportSQL-like query language (RQL)yes
APIs and other access methodsJDBC
Native API
HTTP API
Telnet 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
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Erlang
Go
Java
Python
R
Ruby
C
C++
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesnoyesyesyes
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infobased on HBaseyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor infobased on HBaseMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and SparknoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency infobased on HBaseDefault 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 integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID, Cluster-wide transaction availableyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnono
User concepts infoAccess controlyesnoKerberos, SSL and role based accessAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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More resources
Apache IoTDBOpenTSDBOushuDBRavenDBTransbase
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