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DBMS > Apache Pinot vs. Machbase Neo vs. Oracle Rdb vs. Sphinx

System Properties Comparison Apache Pinot vs. Machbase Neo vs. Oracle Rdb vs. Sphinx

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyTimeSeries DBMS for AIoT and BigDataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitepinot.apache.orgmachbase.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlsphinxsearch.com
Technical documentationdocs.pinot.apache.orgmachbase.com/­dbmswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsphinxsearch.com/­docs
DeveloperApache Software Foundation and contributorsMachbaseOracle, originally developed by Digital Equipment Corporation (DEC)Sphinx Technologies Inc.
Initial release2015201319842001
Current release1.0.0, September 2023V8.0, August 20237.4.1.1, 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree test version availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
macOS
Windows
HP Open VMSFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes
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.nono
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBCgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Proprietary protocol
Supported programming languagesGo
Java
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyes 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 infovolatile and lookup tableno
User concepts infoAccess controlsimple password-based access controlno

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More resources
Apache PinotMachbase Neo infoFormer name was InfinifluxOracle RdbSphinx
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