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DBMS > Apache Pinot vs. GigaSpaces vs. PouchDB vs. searchxml

System Properties Comparison Apache Pinot vs. GigaSpaces vs. PouchDB vs. searchxml

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPouchDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsJavaScript DBMS with an API inspired by CouchDBDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document storeNative XML DBMS
Search engine
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websitepinot.apache.orgwww.gigaspaces.compouchdb.comwww.searchxml.net/­category/­products
Technical documentationdocs.pinot.apache.orgdocs.gigaspaces.com/­latest/­landing.htmlpouchdb.com/­guideswww.searchxml.net/­support/­handouts
DeveloperApache Software Foundation and contributorsGigaspaces TechnologiesApache Software Foundationinformationpartners gmbh
Initial release2015200020122015
Current release1.0.0, September 202315.5, September 20207.1.1, June 20191.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJavaScriptC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 infoXML can be used for describing objects metadatanoyes
Secondary indexesyesyes infovia viewsyes
SQL infoSupport of SQLSQL-like query languageSQL-99 for query and DML statementsnono
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesGo
Java
Python
.Net
C++
Java
Python
Scala
JavaScriptC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyesView functions in JavaScriptyes infoon the application server
Triggersyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole-based access controlnoDomain, group and role-based access control at the document level and for application services

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More resources
Apache PinotGigaSpacesPouchDBsearchxml
DB-Engines blog posts

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