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DBMS > HyperSQL vs. KeyDB vs. MarkLogic vs. Sphinx

System Properties Comparison HyperSQL vs. KeyDB vs. MarkLogic vs. Sphinx

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonKeyDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOperational and transactional Enterprise NoSQL databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Websitehsqldb.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.marklogic.comsphinxsearch.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmldocs.keydb.devdocs.marklogic.comsphinxsearch.com/­docs
DeveloperEQ Alpha Technology Ltd.MarkLogic Corp.Sphinx Technologies Inc.
Initial release2001201920012001
Current release2.7.2, June 202311.0, December 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infobased on BSD licenseOpen Source infoBSD-3commercial inforestricted free version is availableOpen Source infoGPL version 2, commercial licence 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 VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforcedyes
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 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.nonoyes
Secondary indexesyesyes infoby using the Redis Search moduleyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoyes infoSQL92SQL-like query language (SphinxQL)
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC
Java
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
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresJava, SQLLuayes infovia XQuery or JavaScriptno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes 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, with Range Indexes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access control and ACLRole-based access control at the document and subdocument levelsno

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More resources
HyperSQL infoalso known as HSQLDBKeyDBMarkLogicSphinx
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