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DBMS > Immudb vs. Linter vs. Percona Server for MongoDB vs. Solr

System Properties Comparison Immudb vs. Linter vs. Percona Server for MongoDB vs. Solr

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Editorial information provided by DB-Engines
NameImmudb  Xexclude from comparisonLinter  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.RDBMS for high security requirementsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeRelational DBMSDocument storeSearch engine
Secondary database modelsRelational DBMSSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#295  Overall
#42  Key-value stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­codenotary/­immudb
immudb.io
linter.ruwww.percona.com/­mongodb/­software/­percona-server-for-mongodbsolr.apache.org
Technical documentationdocs.immudb.iodocs.percona.com/­percona-distribution-for-mongodbsolr.apache.org/­resources.html
DeveloperCodenotaryrelex.ruPerconaApache Software Foundation
Initial release2020199020152006
Current release1.2.3, April 20223.4.10-2.10, November 20179.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL Version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C++Java
Server operating systemsBSD
Linux
macOS
Solaris
Windows
z/OS
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like syntaxyesnoSolr Parallel SQL Interface
APIs and other access methodsgRPC protocol
PostgreSQL wire protocol
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
proprietary protocol using JSONJava API
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLJavaScriptJava plugins
Triggersnoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
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.noyes infovia In-Memory Engineyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesyes

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More resources
ImmudbLinterPercona Server for MongoDBSolr
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