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DBMS > Machbase Neo vs. MarkLogic vs. Pinecone vs. PouchDB vs. Sphinx

System Properties Comparison Machbase Neo vs. MarkLogic vs. Pinecone vs. PouchDB vs. Sphinx

Editorial information provided by DB-Engines
NameMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMarkLogic  Xexclude from comparisonPinecone  Xexclude from comparisonPouchDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionTimeSeries DBMS for AIoT and BigDataOperational and transactional Enterprise NoSQL databaseA managed, cloud-native vector databaseJavaScript DBMS with an API inspired by CouchDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Vector DBMSDocument storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitemachbase.comwww.progress.com/­marklogicwww.pinecone.iopouchdb.comsphinxsearch.com
Technical documentationmachbase.com/­dbmswww.progress.com/­marklogic/­documentationdocs.pinecone.io/­docs/­overviewpouchdb.com/­guidessphinxsearch.com/­docs
DeveloperMachbaseMarkLogic Corp.Pinecone Systems, IncApache Software FoundationSphinx Technologies Inc.
Initial release20132001201920122001
Current releaseV8.0, August 202311.0, December 20227.1.1, June 20193.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree test version availablecommercial inforestricted free version is availablecommercialOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++JavaScriptC++
Server operating systemsLinux
macOS
Windows
Linux
OS X
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or dateyesyesString, Number, Booleannono
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.noyesnono
Secondary indexesyesyesyes infovia viewsyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyes infoSQL92nonoSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
PythonJavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptView functions in JavaScriptno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes 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 tableyes, with Range Indexesnoyes
User concepts infoAccess controlsimple password-based access controlRole-based access control at the document and subdocument levelsnono

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Machbase Neo infoFormer name was InfinifluxMarkLogicPineconePouchDBSphinx
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