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DBMS > Hazelcast vs. KeyDB vs. Lovefield vs. mSQL vs. Sphinx

System Properties Comparison Hazelcast vs. KeyDB vs. Lovefield vs. mSQL vs. Sphinx

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonKeyDB  Xexclude from comparisonLovefield  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA widely adopted in-memory data gridAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable relational database for web apps written in pure JavaScriptmSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeKey-value storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitehazelcast.comgithub.com/­Snapchat/­KeyDB
keydb.dev
google.github.io/­lovefieldhughestech.com.au/­products/­msqlsphinxsearch.com
Technical documentationhazelcast.org/­imdg/­docsdocs.keydb.devgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsphinxsearch.com/­docs
DeveloperHazelcastEQ Alpha Technology Ltd.GoogleHughes TechnologiesSphinx Technologies Inc.
Initial release20082019201419942001
Current release5.3.6, November 20232.1.12, February 20174.4, October 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSD-3Open Source infoApache 2.0commercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScriptCC++
Server operating systemsAll OS with a Java VMLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyesno
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.yes infothe object must implement a serialization strategynonono
Secondary indexesyesyes infoby using the Redis Search moduleyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language infovia JavaScript builder patternA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
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
JavaScriptC
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesLuanonono
Triggersyes infoEventsnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-source replication
Source-replica replication
nonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Strong eventual consistency with CRDTs
none
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedOptimistic locking, atomic execution of commands blocks and scriptsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDBno
User concepts infoAccess controlRole-based access controlsimple password-based access control and ACLnonono

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More resources
HazelcastKeyDBLovefieldmSQL infoMini SQLSphinx
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