DBMS > Citus vs. OrigoDB vs. Sphinx

System Properties Comparison Citus vs. OrigoDB vs. Sphinx

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Editorial information provided by DB-Engines

Name

Description

Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL

A fully ACID in-memory object graph database

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

Primary database model

Relational DBMS

Document store
Object oriented DBMS

Search engine

Secondary database models

Document store

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

Score	1.77
Rank	#135	Overall
	#65	Relational DBMS

Score	0.00
Rank	#354	Overall
	#50	Document stores
	#20	Object oriented DBMS

Score	6.72
Rank	#63	Overall
	#7	Search engines

Website

www.citusdata.com

origodb.com

sphinxsearch.com

Technical documentation

docs.citusdata.com

origodb.com/docs

sphinxsearch.com/docs

Developer

Robert Friberg et al

Sphinx Technologies Inc.

Initial release

2010

2009

under the name LiveDB

2001

Current release

8.1, December 2018

3.4.1, July 2021

License

Commercial or Open Source

Open Source

AGPL, commercial license also available

Open Source

GPL version 2, commercial licence available

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

C++

Server operating systems

Linux

Linux
Windows

FreeBSD
Linux
NetBSD
OS X
Solaris
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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.

yes

specific XML type available, but no XML query functionality

can be achieved using .NET

Secondary indexes

yes

full-text index on all search fields

SQL

Support of SQL

yes

standard, with numerous extensions

SQL-like query language (SphinxQL)

APIs and other access methods

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

.NET Client API
HTTP API
LINQ

Proprietary protocol

Supported programming languages

.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

.Net

C++

unofficial client library
Java
Perl

unofficial client library
PHP
Python
Ruby

unofficial client library

Server-side scripts

Stored procedures

user defined functions

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

yes

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

client side managed; servers are not synchronized

Sharding

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

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

other methods possible by using 3rd party extensions

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

depending on model

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

Write ahead log

yes

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

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Role based authorization

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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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Recent citations in the news

Researchers break Azure PostgreSQL database-as-a-service isolation with cross-tenant attack
28 April 2022, CSO Online

Learn how to build a fast, scalable data system on Azure Hyperscale (Citus) and Cosmos DB
1 April 2022, YourStory

Testing times: Microsoft gets PostgreSQL on Azure a day after GA
4 October 2021, The Register

Microsoft Expands Azure PostgreSQL Moxy Through Citus Data Purchase
30 January 2019, Data Center Knowledge

Citus 5.0 a Fully Open Source Database for Enterprise Analytics
5 April 2016, insideBIGDATA

provided by Google News

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

6 Top & Best Open source Search Engine Software for Enterprises
17 June 2019, H2S Media

provided by Google News

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