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DBMS > Informix vs. Sphinx

System Properties Comparison Informix vs. Sphinx

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Editorial information provided by DB-Engines
NameInformix  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA secure embeddable database from IBM, positioned besides DB2 as a relatively low-cost product optimized for OLTP and Internet of Things dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBSearch engine
Secondary database modelsDocument store
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.40
Rank#27  Overall
#15  Relational DBMS
Score7.23
Rank#46  Overall
#5  Search engines
Websitewww.ibm.com/­analytics/­informixsphinxsearch.com
Technical documentationinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
sphinxsearch.com/­docs
DeveloperIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Sphinx Technologies Inc.
Initial release19842001
Current release14.10, March 20193.1.1, October 2018
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and JavaC++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyes infoSince Version 12.10 support for JSON/BSON datatypesno
Secondary indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query language (SphinxQL)
APIs and other access methodsJSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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.yes
User concepts infoAccess controlUsers with fine-grained authentication, authorization, and auditing controlsno

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More resources
InformixSphinx
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Conferences and events

IIUG Informix Conference 2019
Los Angeles, California, USA, 22-26 September 2019

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