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DBMS > Hyprcubd vs. Sphinx vs. Splice Machine vs. SQLite vs. VictoriaMetrics

System Properties Comparison Hyprcubd vs. Sphinx vs. Splice Machine vs. SQLite vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQLite  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkWidely used embeddable, in-process RDBMSA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSSearch engineRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitehyprcubd.com (offline)sphinxsearch.comsplicemachine.comwww.sqlite.orgvictoriametrics.com
Technical documentationsphinxsearch.com/­docssplicemachine.com/­how-it-workswww.sqlite.org/­docs.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperHyprcubd, Inc.Sphinx Technologies Inc.Splice MachineDwayne Richard HippVictoriaMetrics
Initial release2001201420002018
Current release3.5.1, February 20233.1, March 20213.45.3  (15 April 2024), April 2024v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoPublic DomainOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++JavaCGo
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
server-lessFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringnoyesyes infonot rigid because of 'dynamic typing' concept.
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 indexesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)yesyes infoSQL-92 is not fully supportedno
APIs and other access methodsgRPC (https)Proprietary protocolJDBC
Native Spark Datasource
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnonoyes infoJavanono
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
noneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datanoyesyes, multi-version concurrency control (MVCC)yes infovia file-system locksyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controltoken accessnoAccess rights for users, groups and roles according to SQL-standardno

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HyprcubdSphinxSplice MachineSQLiteVictoriaMetrics
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