DBMS > Lovefield vs. Sphinx vs. SQLite

System Properties Comparison Lovefield vs. Sphinx vs. SQLite

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Editorial information provided by DB-Engines

Name

Description

Embeddable relational database for web apps written in pure JavaScript

Open source search engine for searching in data from different sources, e.g. relational databases

Widely used in-process RDBMS

Primary database model

Relational DBMS

Search engine

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.29
Rank	#257	Overall
	#118	Relational DBMS

Score	6.45
Rank	#57	Overall
	#6	Search engines

Score	126.82
Rank	#9	Overall
	#6	Relational DBMS

Website

google.github.io/lovefield

sphinxsearch.com

www.sqlite.org

Technical documentation

github.com/google/lovefield/blob/master/docs/spec_index.md

sphinxsearch.com/docs

www.sqlite.org/docs.html

Developer

Google

Sphinx Technologies Inc.

Dwayne Richard Hipp

Initial release

2014

2001

2000

Current release

2.1.12, February 2017

3.2.1, January 2020

3.32.2 (June 4, 2020), June 2020

License

Commercial or Open Source

Open Source info

Apache 2.0

Open Source info

GPL version 2, commercial licence available

Open Source info

Public Domain

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

JavaScript

C++

Server operating systems

server-less, requires a JavaScript environment (browser, Node.js) info

tested with Chrome, Firefox, IE, Safari

FreeBSD
Linux
NetBSD
OS X
Solaris
Windows

server-less

Data scheme

yes

dynamic column types

Typing

predefined data types such as float or date

yes

not rigid because of 'dynamic typing' concept.

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

full-text index on all search fields

yes

SQL

Support of SQL

SQL-like query language info

via JavaScript builder pattern

SQL-like query language (SphinxQL)

yes

SQL-92 is not fully supported

APIs and other access methods

Proprietary protocol

ADO.NET

inofficial driver
JDBC info

inofficial driver
ODBC info

inofficial driver

Supported programming languages

JavaScript

C++

unofficial client library
Java
Perl info

unofficial client library
PHP
Python
Ruby info

unofficial client library

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 info

Stored procedures

Triggers

Using read-only observers

yes

Partitioning methods info

Methods for storing different data on different nodes

none

Sharding

Partitioning is done manually, search queries against distributed index is supported

none

Replication methods info

Methods for redundantly storing data on multiple nodes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Foreign keys info

Referential integrity

yes

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency info

Support for concurrent manipulation of data

yes

via file-system locks

Durability info

Support for making data persistent

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

The original contents of fields are not stored in the Sphinx index.

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

using MemoryDB

yes

User concepts info

Access control

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