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DBMS > Ignite vs. Machbase Neo vs. Microsoft Azure SQL Database vs. Sphinx

System Properties Comparison Ignite vs. Machbase Neo vs. Microsoft Azure SQL Database vs. Sphinx

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.TimeSeries DBMS for AIoT and BigDataDatabase as a Service offering with high compatibility to Microsoft SQL ServerOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#86  Overall
#12  Key-value stores
#46  Relational DBMS
Score0.28
Rank#307  Overall
#26  Time Series DBMS
Score78.51
Rank#15  Overall
#10  Relational DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Websiteignite.apache.orgmachbase.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasesphinxsearch.com
Technical documentationapacheignite.readme.io/­docsmachbase.com/­dbmsdocs.microsoft.com/­en-us/­azure/­azure-sqlsphinxsearch.com/­docs
DeveloperApache Software FoundationMachbaseMicrosoftSphinx Technologies Inc.
Initial release2015201320102001
Current releaseApache Ignite 2.6V8.0, August 2023V123.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree test version availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetCC++C++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnoyes
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageyesSQL-like query language (SphinxQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
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 proceduresyes (compute grid and cache interceptors can be used instead)noTransact SQLno
Triggersyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factoryes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes 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.yesyes infovolatile and lookup table
User concepts infoAccess controlSecurity Hooks for custom implementationssimple password-based access controlfine grained access rights according to SQL-standardno

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More resources
IgniteMachbase Neo infoFormer name was InfinifluxMicrosoft Azure SQL Database infoformerly SQL AzureSphinx
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