DBMS > OrigoDB vs. Postgres-XL vs. Redis vs. Sphinx

System Properties Comparison OrigoDB vs. Postgres-XL vs. Redis vs. Sphinx

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

A fully ACID in-memory object graph database

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

In-memory data structure store, used as database, cache and message broker info

Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.

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

Primary database model

Document store
Object oriented DBMS

Relational DBMS

Key-value store info

Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence

Search engine

Secondary database models

Document store

Document store info

with Redis Modules
Graph DBMS info

with Redis Modules
Search engine info

with Redis Modules
Time Series DBMS info

with Redis Modules

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

Score	0.06
Rank	#306	Overall
	#40	Document stores
	#17	Object oriented DBMS

Score	0.52
Rank	#206	Overall
	#100	Relational DBMS

Score	145.64
Rank	#8	Overall
	#1	Key-value stores

Score	6.35
Rank	#53	Overall
	#5	Search engines

Website

Technical documentation

origodb.com/docs

www.postgres-xl.org/documentation

redis.io/documentation

sphinxsearch.com/docs

Developer

Robert Friberg et al

Salvatore Sanfilippo info

Development sponsored by Redis Labs

Sphinx Technologies Inc.

Initial release

2009

under the name LiveDB

2014

since 2012, originally named StormDB

2009

2001

Current release

10 R1, October 2018

6.0.1, May 2020

3.1.1, October 2018

License

Commercial or Open Source

Open Source

Open Source info

Mozilla public license

Open Source info

BSD 3-Clause, commercial license available

Open Source info

GPL version 2, commercial licence available

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

C++

Server operating systems

Linux
Windows

Linux
macOS

BSD
Linux
OS X
Windows info

ported and maintained by Microsoft Open Technologies, Inc.

FreeBSD
Linux
NetBSD
OS X
Solaris
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

User defined using .NET types and collections

yes

partial

Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes

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.

can be achieved using .NET

yes

XML type, but no XML query functionality

Secondary indexes

yes

with RediSearch module

yes

full-text index on all search fields

SQL

Support of SQL

yes

distributed, parallel query execution

SQL-like query language (SphinxQL)

APIs and other access methods

.NET Client API
HTTP API
LINQ

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

proprietary protocol info

RESP - REdis Serialization Protocol

Proprietary protocol

Supported programming languages

.Net

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

C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic

C++

unofficial client library
Java
Perl info

unofficial client library
PHP
Python
Ruby info

unofficial client library

Server-side scripts info

Stored procedures

yes

user defined functions

Lua

Triggers

yes

Domain Events

yes

Partitioning methods info

Methods for storing different data on different nodes

horizontal partitioning info

client side managed; servers are not synchronized

horizontal partitioning

Sharding

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

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-slave replication

Master-slave replication info

Chained replication is supported
Multi-master replication info

with Redis Enterprise Pack

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Strong eventual consistency with CRDTs

Foreign keys info

Referential integrity

depending on model

yes

Transaction concepts info

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

ACID

MVCC

Optimistic locking, atomic execution of commands blocks and scripts

Concurrency info

Support for concurrent manipulation of data

yes

Data access is serialized by the server

yes

Durability info

Support for making data persistent

yes

Write ahead log

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

yes

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

In-memory capabilities info

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

yes

User concepts info

Access control

Role based authorization

fine grained access rights according to SQL-standard

Simple password-based access control info

Access control lists and SSL are available in the commercial version

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.