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DBMS > Informix vs. Microsoft Azure Synapse Analytics vs. Sphinx vs. SWC-DB

System Properties Comparison Informix vs. Microsoft Azure Synapse Analytics vs. Sphinx vs. SWC-DB

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Editorial information provided by DB-Engines
NameInformix  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSphinx  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen source search engine for searching in data from different sources, e.g. relational databasesA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSSearch engineWide column store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.32
Rank#35  Overall
#21  Relational DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.01
Rank#378  Overall
#13  Wide column stores
Websitewww.ibm.com/­products/­informixazure.microsoft.com/­services/­synapse-analyticssphinxsearch.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.microsoft.com/­azure/­synapse-analyticssphinxsearch.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.MicrosoftSphinx Technologies Inc.Alex Kashirin
Initial release1984201620012020
Current release14.10.FC5, November 20203.5.1, February 20230.5, April 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and JavaC++C++C++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infoSince Version 12.10 support for JSON/BSON datatypesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyesSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary protocolProprietary protocol
Thrift
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Server-side scripts infoStored proceduresyesTransact SQLnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers with fine-grained authentication, authorization, and auditing controlsyesno

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More resources
InformixMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSphinxSWC-DB infoSuper Wide Column Database
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