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DBMS > Apache IoTDB vs. Immudb vs. Microsoft SQL Server vs. Netezza

System Properties Comparison Apache IoTDB vs. Immudb vs. Microsoft SQL Server vs. Netezza

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonImmudb  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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 FlinkAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Microsofts flagship relational DBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelTime Series DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.24
Rank#295  Overall
#42  Key-value stores
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websiteiotdb.apache.orggithub.com/­codenotary/­immudb
immudb.io
www.microsoft.com/­en-us/­sql-serverwww.ibm.com/­products/­netezza
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.immudb.iolearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software FoundationCodenotaryMicrosoftIBM
Initial release2018202019892000
Current release1.1.0, April 20231.2.3, April 2022SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaGoC++
Server operating systemsAll OS with a Java VM (>= 1.8)BSD
Linux
macOS
Solaris
Windows
z/OS
Linux
Windows
Linux infoincluded in appliance
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like syntaxyesyes
APIs and other access methodsJDBC
Native API
gRPC protocol
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.yesnoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Apache IoTDBImmudbMicrosoft SQL ServerNetezza infoAlso called PureData System for Analytics by IBM
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