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DBMS > Hive vs. Immudb vs. IRONdb vs. Microsoft SQL Server

System Properties Comparison Hive vs. Immudb vs. IRONdb vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonImmudb  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMicrosofts flagship relational DBMS
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websitehive.apache.orggithub.com/­codenotary/­immudb
immudb.io
www.circonus.com/solutions/time-series-database/www.microsoft.com/­en-us/­sql-server
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.immudb.iodocs.circonus.com/irondb/category/getting-startedlearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software Foundation infoinitially developed by FacebookCodenotaryCirconus LLC.Microsoft
Initial release2012202020171989
Current release3.1.3, April 20221.2.3, April 2022V0.10.20, January 2018SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercial inforestricted free version is available
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 and C++C++
Server operating systemsAll OS with a Java VMBSD
Linux
macOS
Solaris
Windows
z/OS
LinuxLinux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like syntaxSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsJDBC
ODBC
Thrift
gRPC protocol
PostgreSQL wire protocol
HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC++
Java
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes, in LuaTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter awareyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard

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More resources
HiveImmudbIRONdbMicrosoft SQL Server
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