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DBMS > Immudb vs. jBASE vs. Microsoft SQL Server vs. Riak KV vs. Spark SQL

System Properties Comparison Immudb vs. jBASE vs. Microsoft SQL Server vs. Riak KV vs. Spark SQL

Editorial information provided by DB-Engines
NameImmudb  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRiak KV  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A robust multi-value DBMS comprising development tools and middlewareMicrosofts flagship relational DBMSDistributed, fault tolerant key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeMultivalue DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational 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
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­codenotary/­immudb
immudb.io
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.microsoft.com/­en-us/­sql-serverspark.apache.org/­sql
Technical documentationdocs.immudb.iodocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9learn.microsoft.com/­en-US/­sql/­sql-serverwww.tiot.jp/­riak-docs/­riak/­kv/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCodenotaryRocket Software (formerly Zumasys)MicrosoftOpenSource, formerly Basho TechnologiesApache Software Foundation
Initial release20201991198920092014
Current release1.2.3, April 20225.7SQL Server 2022, November 20223.2.0, December 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial inforestricted free version is availableOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++ErlangScala
Server operating systemsBSD
Linux
macOS
Solaris
Windows
z/OS
AIX
Linux
Windows
Linux
Windows
Linux
OS X
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesnoyes
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.noyesyesnono
Secondary indexesyesyesrestrictedno
SQL infoSupport of SQLSQL-like syntaxEmbedded SQL for jBASE in BASICyesnoSQL-like DML and DDL statements
APIs and other access methodsgRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Native Erlang Interface
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
.Net
Basic
Jabbascript
Java
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaErlangno
Triggersnoyesyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infono "single point of failure"yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server Editionselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardyes, using Riak Securityno

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More resources
ImmudbjBASEMicrosoft SQL ServerRiak KVSpark SQL
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