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DBMS > Apache IoTDB vs. GridGain vs. Microsoft SQL Server vs. SpaceTime

System Properties Comparison Apache IoTDB vs. GridGain vs. Microsoft SQL Server vs. SpaceTime

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSpaceTime  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 FlinkGridGain is an in-memory computing platform, built on Apache IgniteMicrosofts flagship relational DBMSSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websiteiotdb.apache.orgwww.gridgain.comwww.microsoft.com/­en-us/­sql-serverwww.mireo.com/­spacetime
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software FoundationGridGain Systems, Inc.MicrosoftMireo
Initial release2018200719892020
Current release1.1.0, April 2023GridGain 8.5.1SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial 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 languageJavaJava, C++, .NetC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languageANSI-99 for query and DML statements, subset of DDLyesA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
Native API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C#
C++
Python
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesyes (cache interceptors and events)yesno
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 federationFixed-grid hypercubes
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 (replicated cache)yes, but depending on the SQL-Server EditionReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.yesyesyesno
User concepts infoAccess controlyesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardyes

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More resources
Apache IoTDBGridGainMicrosoft SQL ServerSpaceTime
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