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DBMS > InfinityDB vs. KeyDB vs. Percona Server for MongoDB vs. RavenDB

System Properties Comparison InfinityDB vs. KeyDB vs. Percona Server for MongoDB vs. RavenDB

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Editorial information provided by DB-Engines
NameInfinityDB  Xexclude from comparisonKeyDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA Java embedded Key-Value Store which extends the Java Map interfaceAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value storeKey-value storeDocument storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.52
Rank#254  Overall
#39  Document stores
Score2.92
Rank#101  Overall
#18  Document stores
Websiteboilerbay.comgithub.com/­Snapchat/­KeyDB
keydb.dev
www.percona.com/­mongodb/­software/­percona-server-for-mongodbravendb.net
Technical documentationboilerbay.com/­infinitydb/­manualdocs.keydb.devdocs.percona.com/­percona-distribution-for-mongodbravendb.net/­docs
DeveloperBoiler Bay Inc.EQ Alpha Technology Ltd.PerconaHibernating Rhinos
Initial release2002201920152010
Current release4.03.4.10-2.10, November 20175.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Open Source infoGPL Version 2Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C#
Server operating systemsAll OS with a Java VMLinuxLinuxLinux
macOS
Raspberry Pi
Windows
Data schemeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrayspartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesno
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.nonono
Secondary indexesno infomanual creation possible, using inversions based on multi-value capabilityyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLnononoSQL-like query language (RQL)
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Proprietary protocol infoRESP - REdis Serialization Protocoproprietary protocol using JSON.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJavaC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
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
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoLuaJavaScriptyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Immediate Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilitynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOptimistic locking for transactions; no isolation for bulk loadsOptimistic locking, atomic execution of commands blocks and scriptsnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engine
User concepts infoAccess controlnosimple password-based access control and ACLAccess rights for users and rolesAuthorization levels configured per client per database

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More resources
InfinityDBKeyDBPercona Server for MongoDBRavenDB
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