DBMS > Riak KV vs. Sphinx vs. SQream DB

System Properties Comparison Riak KV vs. Sphinx vs. SQream DB

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Editorial information provided by DB-Engines

Name

Description

Distributed, fault tolerant key-value store

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

a GPU-based, columnar RDBMS for big data analytics workloads

Primary database model

Key-value store

with links between data sets and object tags for the creation of secondary indexes

Search engine

Relational DBMS

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

Score	4.44
Rank	#80	Overall
	#9	Key-value stores

Score	6.03
Rank	#60	Overall
	#6	Search engines

Score	0.73
Rank	#228	Overall
	#105	Relational DBMS

Website

sphinxsearch.com

sqream.com

Technical documentation

www.tiot.jp/riak-docs/riak/kv/latest

sphinxsearch.com/docs

docs.sqream.com

Developer

OpenSource, formerly Basho Technologies

Sphinx Technologies Inc.

SQream Technologies

Initial release

2009

2001

2017

Current release

3.2.0, December 2022

3.5.1, February 2023

2022.1.6, December 2022

License

Commercial or Open Source

Open Source

Apache version 2, commercial enterprise edition

Open Source

GPL version 2, commercial licence available

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Erlang

C++

C++, CUDA, Haskell, Java, Scala

Server operating systems

Linux
OS X

FreeBSD
Linux
NetBSD
OS X
Solaris
Windows

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes, ANSI Standard SQL Types

XML support

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

restricted

yes

full-text index on all search fields

SQL

Support of SQL

SQL-like query language (SphinxQL)

yes

APIs and other access methods

HTTP API
Native Erlang Interface

Proprietary protocol

.Net
JDBC
ODBC

Supported programming languages

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

C++

unofficial client library
Java
Perl

unofficial client library
PHP
Python
Ruby

unofficial client library

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

Erlang

user defined functions in Python

Triggers

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Sharding

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

horizontal and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

links between data sets can be stored

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

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

yes

User concepts

Access control

yes, using Riak Security

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More resources

DB-Engines blog posts

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

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