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DBMS > Interbase vs. Machbase Neo vs. Quasardb vs. Spark SQL vs. Sphinx

System Properties Comparison Interbase vs. Machbase Neo vs. Quasardb vs. Spark SQL vs. Sphinx

Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionLight-weight proven RDBMS infooriginally from BorlandTimeSeries DBMS for AIoT and BigDataDistributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.embarcadero.com/­products/­interbasemachbase.comquasar.aispark.apache.org/­sqlsphinxsearch.com
Technical documentationdocs.embarcadero.com/­products/­interbasemachbase.com/­dbmsdoc.quasar.ai/­masterspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docs
DeveloperEmbarcaderoMachbasequasardbApache Software FoundationSphinx Technologies Inc.
Initial release19842013200920142001
Current releaseInterBase 2020, December 2019V8.0, August 20233.14.1, January 20243.5.0 ( 2.13), September 20233.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree test version availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC++ScalaC++
Server operating systemsAndroid
iOS
Linux
OS X
Windows
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesno
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.no infoexport as XML data possiblenonono
Secondary indexesyesyesyes infowith tagsnoyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query languageSQL-like query languageSQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languagenononono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoconsistent hashingyes, utilizing Spark CoreSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsselectable replication factorSource-replica replication with selectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyesyes
Durability infoSupport for making data persistentyesnoyes infoby using LevelDByesyes 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 tableyes infoTransient modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlCryptographically strong user authentication and audit trailnono

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More resources
InterbaseMachbase Neo infoFormer name was InfinifluxQuasardbSpark SQLSphinx
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