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DBMS > Immudb vs. Microsoft Azure SQL Database vs. Spark SQL vs. Valentina Server

System Properties Comparison Immudb vs. Microsoft Azure SQL Database vs. Spark SQL vs. Valentina Server

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Editorial information provided by DB-Engines
NameImmudb  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSpark SQL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Database as a Service offering with high compatibility to Microsoft SQL ServerSpark SQL is a component on top of 'Spark Core' for structured data processingObject-relational database and reports server
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#295  Overall
#42  Key-value stores
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitegithub.com/­codenotary/­immudb
immudb.io
azure.microsoft.com/­en-us/­products/­azure-sql/­databasespark.apache.org/­sqlwww.valentina-db.net
Technical documentationdocs.immudb.iodocs.microsoft.com/­en-us/­azure/­azure-sqlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperCodenotaryMicrosoftApache Software FoundationParadigma Software
Initial release2020201020141999
Current release1.2.3, April 2022V123.5.0 ( 2.13), September 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Scala
Server operating systemsBSD
Linux
macOS
Solaris
Windows
z/OS
hostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
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.noyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like syntaxyesSQL-like DML and DDL statementsyes
APIs and other access methodsgRPC protocol
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
JDBC
ODBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoTransact SQLnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
ImmudbMicrosoft Azure SQL Database infoformerly SQL AzureSpark SQLValentina Server
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