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DBMS > Apache IoTDB vs. FeatureBase vs. Microsoft Azure SQL Database vs. OrigoDB vs. Sadas Engine

System Properties Comparison Apache IoTDB vs. FeatureBase vs. Microsoft Azure SQL Database vs. OrigoDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOrigoDB  Xexclude from comparisonSadas Engine  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 FlinkReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Database as a Service offering with high compatibility to Microsoft SQL ServerA fully ACID in-memory object graph databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Relational 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
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websiteiotdb.apache.orgwww.featurebase.comazure.microsoft.com/­en-us/­products/­azure-sql/­databaseorigodb.comwww.sadasengine.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.featurebase.comdocs.microsoft.com/­en-us/­azure/­azure-sqlorigodb.com/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationMolecula and Pilosa Open Source ContributorsMicrosoftRobert Friberg et alSADAS s.r.l.
Initial release2018201720102009 infounder the name LiveDB2006
Current release1.1.0, April 20232022, May 2022V128.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Sourcecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++C#C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
hostedLinux
Windows
AIX
Linux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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.nonoyesno infocan be achieved using .NETno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL queriesyesnoyes
APIs and other access methodsJDBC
Native API
gRPC
JDBC
Kafka Connector
ODBC
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesTransact SQLyesno
Triggersyesnoyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardinghorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesyes, with always 3 replicas availableSource-replica replicationnone
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 Consistency
Foreign keys infoReferential integritynoyesyesdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyesfine grained access rights according to SQL-standardRole based authorizationAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache IoTDBFeatureBaseMicrosoft Azure SQL Database infoformerly SQL AzureOrigoDBSadas Engine
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