DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Cachelot.io vs. Cubrid vs. Lovefield vs. Sphinx

System Properties Comparison Cachelot.io vs. Cubrid vs. Lovefield vs. Sphinx

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonCubrid  Xexclude from comparisonLovefield  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionIn-memory caching systemCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPEmbeddable relational database for web apps written in pure JavaScriptOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#396  Overall
#64  Key-value stores
Score1.31
Rank#169  Overall
#78  Relational DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitecachelot.iocubrid.com (korean)
cubrid.org (english)
google.github.io/­lovefieldsphinxsearch.com
Technical documentationcubrid.org/­manualsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsphinxsearch.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationGoogleSphinx Technologies Inc.
Initial release2015200820142001
Current release11.0, January 20212.1.12, February 20173.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
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 languageC++C, C++, JavaJavaScriptC++
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesno
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 indexesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder patternSQL-like query language (SphinxQL)
APIs and other access methodsMemcached protocolADO.NET
JDBC
ODBC
OLE DB
Proprietary protocol
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoJava Stored Proceduresnono
TriggersnoyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes 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.nonoyes infousing MemoryDB
User concepts infoAccess controlnofine grained access rights according to SQL-standardnono

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Cachelot.ioCubridLovefieldSphinx
DB-Engines blog posts

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

Switching From Sphinx to MkDocs Documentation — What Did I Gain and Lose
2 February 2024, Towards Data Science

Manticore is a Faster Alternative to Elasticsearch in C++
25 July 2022, hackernoon.com

Perplexity AI: From Its Use To Operation, Everything You Need To Know About Googles Newest Challenger
11 January 2024, Free Press Journal

The Pirate Bay was recently down for over a week due to a DDoS attack
29 October 2019, The Hacker News

How to Build 600+ Links in One Month
4 September 2020, Search Engine Journal

provided by Google News



Share this page

Featured Products

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here