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DBMS > Apache IoTDB vs. CockroachDB vs. Microsoft Azure SQL Database vs. NSDb vs. OrigoDB

System Properties Comparison Apache IoTDB vs. CockroachDB vs. Microsoft Azure SQL Database vs. NSDb vs. OrigoDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  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 FlinkCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Database as a Service offering with high compatibility to Microsoft SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph database
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteiotdb.apache.orgwww.cockroachlabs.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasensdb.ioorigodb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.cockroachlabs.com/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlnsdb.io/­Architectureorigodb.com/­docs
DeveloperApache Software FoundationCockroach LabsMicrosoftRobert Friberg et al
Initial release20182015201020172009 infounder the name LiveDB
Current release1.1.0, April 202324.1.0, May 2024V12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++Java, ScalaC#
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
Windows
hostedLinux
macOS
Linux
Windows
Data schemeyesdynamic schemayesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringUser defined using .NET types and collections
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.nonoyesnono infocan be achieved using .NET
Secondary indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageyes, wire compatible with PostgreSQLyesSQL-like query languageno
APIs and other access methodsJDBC
Native API
JDBCADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
.Net
Server-side scripts infoStored proceduresyesnoTransact SQLnoyes
Triggersyesnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardinghorizontal partitioning infoclient side managed; servers are not synchronized
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 using RAFTyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesRole-based access controlfine grained access rights according to SQL-standardRole based authorization

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More resources
Apache IoTDBCockroachDBMicrosoft Azure SQL Database infoformerly SQL AzureNSDbOrigoDB
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